University of Iowa H-AQAST Grant Application Copyright 2014
City of Dubuque Consent Items # 19.
ITEM TITLE: University of Iowa H-AQAST Grant Application
SUMMARY: City Manager recommending approval of a Letter of
Support for the University of Iowa for a Health and Air
Quality Applied Sciences Team grant application.
SUGGESTED DISPOSITION: Suggested Disposition: Receive and File; Approve
ATTACHMENTS:
Description Type
University of Iowa H-AQAST Grant Letter of Support- City Manager Memo
MVM Memo
Staff Memo Staff Memo
Letter of Support Supporting Documentation
Submitted Proposal Supporting Documentation
THE CITY OF Dubuque
UBE I
erica .i
Masterpiece on the Mississippi 2007-2012-2013
TO: The Honorable Mayor and City Council Members
FROM: Michael C. Van Milligen, City Manager
SUBJECT: University of Iowa NASA Health and Air Quality Applied Sciences Team
Grant Letter of Support
DATE: March 16, 2016
Public Health Specialist Mary Rose Corrigan recommends City Council approval of a
Letter of Support for the University of Iowa for a Health and Air Quality Applied Sciences
Team grant application. The City of Dubuque will be a "Collaborator" in the project,
specifically through Mary Rose. Mary Rose will advise the team and provide input on
the Community Health Needs Assessment process and how air quality data can be
incorporated, along with needs of air quality education and outreach.
I concur with the recommendation and respectfully request Mayor and City Council
approval.
Mic ael C. Van Milligen
MCVM:jh
Attachment
cc: Barry Lindahl, City Attorney
Cindy Steinhauser, Assistant City Manager
Teri Goodmann, Assistant City Manager
Mary Rose Corrigan, Public Health Specialist
THE CDubuque
DUUB_-'*.__ TE 11
Masterpiece on theMississippi 2007.2012.2013
TO: Mike Van Milligen, City Manager
FROM: Mary Rose Corrigan, Public Health Specialist
SUBJECT: University of Iowa NASA H-AQUAST Grant Letter of Support
DATE: March 14, 2016
INTRODUCTION
This memo requests City Council approval for a Letter of Support to the University of Iowa for a
Health and Air Quality Applied Sciences Team (H-AQUAST) grant application.
BACKGROUND
The City of Dubuque has been partnering with the University of Iowa through Charles Stainer,
Associate Professor of Chemical and Bio-Chemical Engineering, on Air Quality Education and
Outreach through an EPA Education grant (CLEAR4- Clean Air in the River Valley). Dr. Stainer
recently approached the City Health Services Department to become a collaborator with a grant
application to the National Aeronautics and Space Administration (NASA). Dr. Stainer is
applying to NASA for a team in the complimentary areas of: 1 . Improving the relevance to the
public health community of high resolution, multi-year air quality data products and 2.
Dissemination of those and other H-AQUAST products, particularly for the creation and
evaluation of community health needs assessments, and incorporation into ongoing air quality
outreach and education. The team includes expertise in environmental health outreach and
education, regional air quality, etc. The teams work will facilitate the use of NASA products and
communicating the change of air quality and public health impacts in the context of global
climate change.
DISCUSSION
The City of Dubuque will be a "Collaborator" in the project, specifically through Public Health
Specialist, Mary Rose Corrigan. Mary Rose will advise the team and provide input on the
Community Health Needs Assessment process and how air quality data can be incorporated,
along with needs for air quality education and outreach.
RECOMMENDATION
I recommend the City Council approve the attached letter of support for the University of Iowa
H-AQUAST project.
CITY COUNCIL ACTION
Authorize the City Manager to sign the Letter of Support on behalf of the City of Dubuque.
cc Cori Burbach
Dubuque City Manager's Office
THE CITY OF City Ha➢
50 West 13th Street
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All-AmedcaCity
Dubuque,c (563)589-4110 52001-4805
v I Office(563)589-4110
Fax(563)589-4149
mastel-piecc Oil the Mississippi TTY(563)690-6678
2007-2012-2013 ctvmgr@citpofdubuque.org
www.cityofdubuque.org
March 8, 2016
Mr. John Haynes
Applied Sciences Program
Earth Science Division
Science Mission Directorate
NASA Headquarters
Washington, DC 20546-0001
SUBJECT: Proposal from the University of Iowa to the NASA Health and Air Quality
Applied Sciences Team (H-AQAST)
Dear Mr. Haynes,
Charles Stanier at the University of Iowa is submitting, in collaboration with Greg
Carmichael and Jun Wang, a proposal "H-AQAST membership: Retrieval, processing,
data assimilation, and formatting of satellite remote sensed data for health users."
Dr. Stanier has worked with the City of Dubuque on Air Quality Outreach and Education
through our shared EPA Environmental Education Grant. The City's Public Health
Specialist, Mary Rose Corrigan, has worked with Dr. Stainer on Community Air Quality
Education and City of Dubuque is glad to see NASA moving towards applied science to
improve health outcomes.
I
Mary Rose Corrigan holds a BSN and MSN in Nursing Education and has been
managing the City's Health Services Department since 1989. She has been involved in
the delivery of many public health programs and services, including federally funded
grant-based projects (e.g. HUD). Mary Rose works extensively with local, state and
federal partners on public health policy and programs, including health promotion and
disease prevention, environmental health and community emergency preparedness
education and planning, conducting periodic community health needs assessments.
Dr. Charles Stainer plans to incorporate H-AQAST air quality information into the
ongoing education and outreach of the CLE4R project, and has discussed the most
effective applied air quality products for public health officials, such as Mary Rose, and
Service People Integrity Responsibility Innovation Teamwork
Mr. John Haynes
March 8, 2016
Page 2
venues to promote them and get the word out. I am particularly supportive of his efforts
to make a comprehensive toolkit for states and counties to use in completing the air
quality portion of their community health needs assessments.
If the Iowa proposal is selected for the H-AQAST, the City of Dubuque agrees to
continue to informally advise Dr. Charles Stainer to maximize his outreach and
dissemination efforts to the local and state public health community.
Sincerely,
Michael C. Van Milligen
City Manager
MCVM:mrc
Do not quote, copy, cite or distribute without
permission of Charles Stanier
Submitted Proposal
H-AQAST membership: Retrieval, processing, data assimilation, and
formatting of satellite remote sensed data for health users
A proposal submitted to NASA Science Mission Directorate
Solicitation: NNHI5ZDA001N-HAQST
11 March 2015
Principal Investigator
Charles Stanier
Chemical and Biochemical Engineering
University of Iowa
Co-Investigators
Jun Wang
Chemical and Biochemical Engineering
University of Iowa
Greg Carmichael
Chemical and Biochemical Engineering
University of Iowa
Collaborators
Juying Warner
University of Maryland College Park
Mary Rose Corrigan
City of Dubuque
Alexei L Lyapustin
NASA Goddard Space Flight Center
Climate and Radiation Laboratory
EXECUTIVE SUMMARY
A team from the University of Iowa and partner organizations is applying to work on the NASA H-
AQAST team in the complementary areas of (1) improving the relevance to the public health
community of high resolution, multi-year air quality products (satellite and satellite+model+ surface
observation);and(2)dissemination of those and other H-AQAST products,particularly for the creation
and evaluation of community health assessments, and for exposure assessment. The team includes
expertise in environmental health outreach and education, regional air quality of the central and
Midwestern U.S., remote sensed air pollution, chemical transport modeling, and emission inventory
development. Analyses, modeling, and dissemination will be national in scale, but will focus on the
mid-continent region between the Rocky and Appalachian Mountains. The region includes areas where
episodic pollutants have a major impact on air quality: coarse dust, ammonia, and biomass burning.
The frequency and variability of these episodic events and their associated emissions is expected to
increase with changing climate. This team's work will facilitate the use of NASA products in
communicating the change of air quality and public health in the context of global climate change. Our
baseline research activities consist of(1) downscaling(to 1 km), analysis, and dissemination to public
health users of a 10-year air quality reanalysis at 12km resolution being produced by NOAA ARL; (2)
fusion of satellite-based atmospheric and land surface products (e.g. MODIS, VIIRS, OMI, CALIOP,
AIRS, TES,MISR)to characterize smoke/dust events in the central U.S. and improve emission models
for dust and NH3 for the period 2000-2015; (3) creation and dissemination of a toolkit for air quality
information to support state and local Community Health Needs Assessments; and (4) incorporation
of satellite remote sensed air quality information in ongoing education and outreach being conducted
by the University of Iowa team. Our baseline activities are scalable to a variety of NASA data products.
If funded, our work would significantly increase the visibility and use within the public health
community of fused reanalysis and exposure products derived from NASA remote sensing.
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PI Name:Charles Stanier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
SECTION VI Team Members
Team Member Role Team Member Name Contact Phone E-mail Address
PI Charles Stanier 319-335-1399 charles-starrier@uiowa.edu
Organization/Business Relationship Cage Code DUNS#
University of Iowa,Iowa City 2D354 062761671
International Participation U.S.Government Agency Total Funds Requested
No 0.00
Team Member Role Team Member Name Contact Phone E-mail Address
Co-I Gregory Carmichael 319-335-3333 gcarmich@engineering.uiowa.edu
Organization/Business Relationship Cage Code DUNS#
University of Iowa,Iowa City 2D354 062761671
International Participation U.S.Government Agency Total Funds Requested
No 0.00
Team Member Role Team Member Name Contact Phone E-mail Address
Co-I Jun Wang 557-453-9595 jun-wang-1@uiowa.edu
Organization/Business Relationship Cage Code DUNS#
University of Iowa,Iowa City 2D354 062761671
International Participation U.S.Government Agency Total Funds Requested
No 0.00
Team Member Role Team Member Name Contact Phone E-mail Address
Collaborator Mary Rose Corrigan 563-559-4151 mcorriga@cityofdubuque.org
Organization/Business Relationship Cage Code DUNS#
City of Dubuque,IA N/A N/A
International Participation U.S.Government Agency Total Funds Requested
No 0.00
Team Member Role Team Member Name Contact Phone E-mail Address
Collaborator Alexei Lyapustin 301-614-5995 Alexei.I.Lyapustin@nasa.gov
Organization/Business Relationship Cage Code DUNS#
NASA Goddard Space Flight Center 36FC1 004965611
International Participation U.S.Government Agency Total Funds Requested
No NASA Goddard Space Flight Center 0.00
Team Member Role Team Member Name Contact Phone E-mail Address
Collaborator Juying Warner 301-233-5556 juying@atmos.umd.edu
Organization/Business Relationship Cage Code DUNS#
University of Maryland,College Park OUB92 790934255
International Participation U.S.Government Agency Total Funds Requested
No 0.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Slander NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
SECTION VII-Project Summary
A team from the University of Iowa and partner organizations is applying to work on the NASA H-AQAST team in the
complementary areas of(1)improving the relevance to the public health community of high resolution,multi-year air quality products
(satellite and satellite+model+surface observation); and(2) dissemination of those and other H-AQAST products,particularly
for the creation and evaluation of community health assessments,and for exposure assessment.The team includes expertise in
environmental health outreach and education,regional air quality of the central and Midwestern U.S.,remote sensed air pollution,
chemical transport modeling,and emission inventory development.Analyses,modeling,and dissemination will be national in scale,
but will focus on the mid-continent region between the Rocky and Appalachian Mountains.The region includes areas where episodic
pollutants have a major impact on air quality:coarse dust,ammonia,and biomass burning.The frequency and variability of these
episodic events and their associated emissions is expected to increase with changing climate.This team's work will facilitate the use
of NASA products in communicating the change of air quality and public health in the context of global climate change.Our baseline
research activities consist of(1) downscaling(to 1 km),analysis,and dissemination to public health users of a 10-year air quality
reanalysis at 12km resolution being produced by NOAA ARL; (2)fusion of satellite-based atmospheric and land surface products
(e.g.MODIS,VIIRS,OMI,CALIOP,AIRS,TES,MISR)to characterize smoke/dust events in the central U.S.and improve emission
models for dust and NH3 for the period 2000-2015;(3)creation and dissemination of a toolkit for air quality information to support
state and local Community Health Needs Assessments; and(4)incorporation of satellite remote sensed air quality information in
ongoing education and outreach being conducted by the University of Iowa team Our baseline activities are scalable to a variety of
NASA data products. If funded,our work would significantly increase the visibility and use within the public health community of
fused reanalysis and exposure products derived from NASA remote sensing.
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
SECTION Vill Other Project Information
Proprietary Information
Is proprietary/privileged information included in this application?
Yes
International Collaboration
Does this project involve activities outside the U.S.or partnership with International Collaborators?
No
Principal Investigator Co-Investigator Collaborator Equipment Facilities
No No No No No
Explanation
NASA Civil Servant Project Personnel
Are NASA civil servant personnel participating as team members on this project(include funded and unfunded)?
No
Fiscal Year Fiscal Year Fiscal Year Fiscal Year Fiscal Year Fiscal Year
Number of FTEs Number of FTEs Number of FTEs Number of FTEs Number of FTEs Number of FTEs
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Stanier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
SECTION Vill-Other Project Information
Environmental Impact
Does this project have an actual or potential impact on the environment? Has an exemption been authorized or an environmental assessment(EA)or an
No environmental impact statement(EIS)been performed?
No
Environmental Impact Explanation:
Exemption/EA/EIS Explanation:
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Stanier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
SECTION Vill-Other Project Information
Historical Site/Object Impact
Does this project have the potential to affect historic,archeological,or traditional cultural sites(such as Native American burial or ceremonial grounds)or historic objects
(such as an historic aircraft or spacecraft)?
No
Explanation:
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Slander NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
SECTION IX-Program Specific Data
Question 1 :Short Title:
Answer:Retrieval,processing, data assimilation,and formatting of satellite remote sensed data for health users
Question 2:Type of institution:
Answer:Educational Organization
Question 3:Will any funding be provided to a federal government organization includingNASA Centers,JPL,other Federal agencies,
government laboratories,or Federally Funded Research and Development Centers(FFRDC s)?
Answer:No
Question 4:Is this Federal government organization a different organization from the proposing(PI)organization?
Answer:N/A
Question 5:Does this proposal include the use of NASA-provided high end computing?
Answer:No
Question 6:Research Category:
Answer: 10)Development/application of information technology/data and information systems and tools
Question 7:Data Management Plan(Part 1)
Answer:
This project involves processing of satellite remote sensed data. Final data products will be available publically from University of Iowa
servers(e.g.w .cgrenuiowa.edu;w Jihnuiowa.edu). Selected intermediate data products will be shared with H-AQAST users using
password protected sharing portals at the University of Iowa. Algorithms for merging data will be published in peer reviewed journals.
The project team has extensive experience with managing,processes,archiving and publishing datasets related to NASA projects. Selected
final data products will be transferred to archival data servers at associated with federal agencies. All University of Iowa computing
centers involved in this research(CGRER,IHIR,Information Technology Services)have robust data storage and redundant backup
capabilities.
Question S:Data Management Plan(Part 2)
Answer:
NA
FORM NRESS-300 Version 3.0 Apr 09
Question 9:Team Members Missing From Cover Page:
Answer:
N/A
Question 10: Does this proposal contain information and/or data that are subject to U.S.export control laws and regulations including
Export Administration Regulations(EAR)and International Traffic in Arms Regulations(ITAR)?
Answer:No
Question 11 :I have identified the export-controlled material in this proposal.
Answer:N/A
Question 12: I acknowledge that the inclusion of such material in this proposal may complicate the government's ability to evaluate the
proposal.
Answer:N/A
Question 13: Does the proposed work include any involvement with collaborators in China or with Chinese organizations,or does the
proposed work include activities in China?
Answer:No
Question 14:Are you planning for undergraduate students to be involved in the conduct of the proposed investigation?
Answer:Yes
Question 15: If yes,how many different undergraduate students?
Answer:2
Question 16:What is the total number of student-months of involvement for all undergraduate students over the life of the proposed
investigation?
Answer:three student months of undergraduate student involvement
Question 17: Provide the names and current year(1,2,3,4)for any undergraduate students that have already been identified.
Answer:
no specific students have been identified for participation in this project.
Question 18:Are you planning for graduate students to be involved in the conduct of the proposed investigation?
Answer:Yes
FORM NRESS-300 Version 3.0 Apr 09
Question 19: If yes,how many different graduate students?
Answer: 1
Question 20:What is the total number of student-months of involvement for all graduate students over the fife of the proposed
investigation?
Answer:36 total months at 20 hours/week; or 18 FTE months equivalent
Question 21 : Provide the names and current year(1,2,3,4,etc.)for any graduate students that have already been identified.
Answer:
Graduate student to be determined.
Question 22:Name the topic(s)the investigator plans to help develop through baseline H-AQAST activities.
Answer:
Our baseline research activities consist of(1)downscaling(to 0.5 km),analysis,and dissemination to public health users of a 10-year air
quality reanalysis at 12km resolution being produced by NOAA ARL; (2)fusion of satellite-based atmospheric and land surface products
(e.g.MODIS,VIIRS,OMI,CALIOP,AIRS,ITS,MISR)to characterize smoke/dust events in the central U.S.and improve emission
models for dust and NH3 for the period 2000-2015;(3)creation and dissemination of a toolkit for air quality information to support state
and local Community Health Needs Assessments; and(4)incorporation of satellite remote sensed air quality information in ongoing
education and outreach being conducted by the University of Iowa team.A team from the University of Iowa and partner organizations is
applying to work on the NASA H-AQAST team in the complementary areas of(1)improving the relevance to the public health community
of high resolution,multi-year air quality products(satellite and satellite+model+surface observation);and(2)dissemination of those
and other H-AQAST products. Analyses,modeling,and dissemination will be national in scale,but will focus on the mid-continent region
between the Rocky and Appalachian Mountains.The region includes areas where episodic pollutants have a major impact on air quality:
coarse dust(Great Plains),ammonia,and biomass burning.
Question 23:Name the end-user organizations that the investigator anticipates working with through baseline H-AQAST activities.
Answer:
City of Dubuque,Iowa American Public Health Association(APHA)Iowa Environmental Health Association Iowa Public Health
Association Environmental Health Sciences Research Center(University of Iowa),and similar NIEHS EHSRC's within the Central and
Midwestern U.S.LADCO-Lake Michigan Air Directors Consortium CENRAP/CENSARA PEPH-Parnerships for Environmental
Public Health
Question 24:Name the NASA Earth Science research results that the investigator expects to utilize in baseline H-AQAST activities
(specific satellite observations, geophysical parameters,Earth system models and predictive capabilities,etc.)
Answer:
MODIS,VIIRS,OMI,CALIOP,AIRS,TES,MISR and air quality reanalysis fields derived from them through NOAA ARL reanalysis
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Slander NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Cumulative Budget
Funds Requested($)
Budget Cost Category
Year 1 ($) Year 2($) Year 3($) Total Project($)
A.Direct Labor-Key Personnel 25,167.00 26,081.00 26,905.00 78,153.00
B.Direct Labor-Other Personnel 41,143.00 38,805.00 37,463.00 117,411.00
Total Number Other Personnel 2 2 2 6
Total Direct Labor Costs(A+B) 66,310.00 64,886.00 64,368.00 195,564.00
C.Direct Costs.Equipment 0.00 0.00 0.00 0.00
D.Direct Costs-Travel 8,400.00 8,400.00 8,400.00 25,200.00
Domestic Travel 8,400.00 8,400.00 8,400.00 25,200.00
Foreign Travel 0.00 0.00 0.00 0.00
E.Direct Costs-Participant7rainee Support Costs 0.00 0.00 0.00 0.00
Tuition/Fees/Health Insurance 0.00 0.00 0.00 0.00
Stipends 0.00 0.00 0.00 0.00
Travel 0.00 0.00 0.00 0.00
Subsistence 0.00 0.00 0.00 0.00
Other 0.00 0.00 0.00 0.00
Number of Participants/Trainees 0
F.Other Direct Costs 10,278.00 11,932.00 12,408.00 34,618.00
Materials and Supplies 0.00 0.00 0.00 0.00
Publication Costs 1,200.00 2,400.00 2,400.00 6,000.00
Consultant Services 0.00 0.00 0.00 0.00
ADP/Computer Services 0.00 0.00 0.00 0.00
Subawards/Consortium/Contractual Costs 0.00 0.00 0.00 0.00
Equipment or Facility Rental/User Fees 0.00 0.00 0.00 0.00
Alterations and Renovations 0.00 0.00 0.00 0.00
Other 9,078.00 9,532.00 10,008.00 28,618.00
G.Total Direct Costs(A+B+C+D+E+F) 84,988.00 85,218.00 85,176.00 255,382.00
H.Indirect Costs 39,853.00 39,735.00 39,463.00 119,051.00
I.Total Direct and Indirect Costs(G+H) 124,841.00 124,953.00 124,639.00 374,433.00
J.Fee 0.00 0.00 0.00 0.00
K.Total Cost 0+,0 124,841.00 124,953.00 124,639.00 374,433.00
Total Cumulative Budget 374,433.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2016 06/30/2017 Project 1
A. Direct Labor-Key Personnel
Base Cal.Months Aced.Months Summ. Requested Fringe Funds
Name Project Role Requested($)
Salary($) Months Salary($) Benefits($)
Wang, Jun CO-I 0.00 .5 6,111.00 1,775.00 7,889.00
Carmichael, Gregory CO-I 0.00 .25 7,505.00 2,155.00 9,693.00
Stuffier, Charles PI 0.00 .5 5,575.00 1,710.00 7,555.00
Total Key Personnel Costs 25,167.00
ether Personnel
Number of Requested Fringe Funds
Project Role Cal.Months Aced.Months Summ.Months
Personnel Salary($) Benefits($) Requested($)
1 Graduate Students 12 27,360.00 5,195.00 32,555.00
1 GIS Professional Staff 1.8 6,300.00 2,255.00 8,585.00
2 Total Number Other Personnel Total Other Personnel Costs 41,143.00
Total Direct Labor Costs (Salary, Wages, Fringe Benefits) (A+B) 66,310.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2016 06/30/2017 Project 1
C. Direct Costs-Equipment
Item No. Equipment Item Description Funds Requested($)
Total Equipment Costs 0.00
irect Costs-Travel —010
Funds Requested($)
1.Domestic Travel(Including Canada,Mexico,and U.S.Possessions) 5,400.00
2.Foreign Travel 0.00
Total Travel Costs 5,400.00
E. Direct Costs-Participant/Trainee Support Costs
Funds Requested($)
1.Tuition/Fees/Health Insurance 0.00
2.Stipends 0.00
3.Travel 0.00
4.Subsistence 0.00
Number of Participants/Trainees: Total Participantfrrainee Support Costs 0.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2016 06/30/2017 Project 1
F. Other Direct Costs
Funds Requested($)
1.Materials and Supplies 0.00
2.Publication Costs 1,200.00
3.Consultant Services 0.00
4.ADP/Computer Services 0.00
5.Subawards/Consortium/Contractual Costs 0.00
6.Equipment or Facility Rental/User Fees 0.00
7.Alterations and Renovations 0.00
8.Other:Graduate Student Tuition+Fees 9,075.00
Total Other Direct Costs 10,275.00
O. Total Direct Costs
Funds Requested($)
Total Direct Costs (A+B+C+D+E+F) 84,988.00
H.Indirect Costs
Indirect Cost Rate(%) Indirect Cost Base($) Funds Requested($)
Modified Total Direct Costs 52.50 75,910.00 39,553.00
Cognizant Federal Agency: DHHS,Theodore Foster,214-767-3261 Total Indirect Costs 39,553.00
. Direct and Indirect C
Funds Requested($)
Total Direct and Indirect Costs (G+H) 124,841.00
J.
Funds Requested($)
Fee 0.00
K.Total Cost
Funds Requested($)
Total Cost with Fee (I+J) 124,841.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starer NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2017 06/30/2015 Project 2
A. Direct Labor-Key Personnel
Base Cal.Months Aced.Months Summ. Requested Fringe Funds
Name Project Role Requested($)
Salary($) Months Salary($) Benefits($)
Stuffier, Charles PI 0.00 .5 6,051.00 1,509.00 7,560.00
Wang, Jun CO-I 0.00 .5 6,294.00 1,882.00 5,176.00
Carmichael, Gregory CO-I 0.00 .25 7,733.00 2,312.00 10,045.00
Total Key Personnel Costs 26,051.00
er Personne
Number of Requested Fringe Funds
Project Role Cal.Months Aced.Months Summ.Months
Personnel Salary($) Benefits($) Requested($)
1 Graduate Students 12 28,181.00 5,915.00 34,099.00
1 GIS Professional Staff .95 3,425.00 1,251.00 4,706.00
2 Total Number Other Personnel Total Other Personnel Costs 38,805.00
Total Direct Labor Costs (Salary, Wages, Fringe Benefits) (A+B) 64,886.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2017 06/30/2015 Project 2
C. Direct Costs-Equipment
Item No. Equipment Item Description Funds Requested($)
Total Equipment Costs 0.00
irect Costs-Travel
Funds Requested($)
1.Domestic Travel(Including Canada,Mexico,and U.S.Possessions) 5,400.00
2.Foreign Travel 0.00
Total Travel Costs 5,400.00
E. Direct Costs-Participant/Trainee Support Costs
Funds Requested($)
1.Tuition/Fees/Health Insurance 0.00
2.Stipends 0.00
3.Travel 0.00
4.Subsistence 0.00
Number of Participants/Trainees: Total Participantfrrainee Support Costs 0.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2017 06/30/2015 Project 2
F. Other Direct Costs
Funds Requested($)
1.Materials and Supplies 0.00
2.Publication Costs 2,400.00
3.Consultant Services 0.00
4.ADP/Computer Services 0.00
5.Subawards/Consortium/Contractual Costs 0.00
6.Equipment or Facility Rental/User Fees 0.00
7.Alterations and Renovations 0.00
8.Other:Graduate Student Tuition+Fees 9,532.00
Total Other Direct Costs 11,932.00
O. Total Direct Costs
Funds Requested($)
Total Direct Costs (A+B+C+D+E+F) 85,218.00
H.Indirect Costs
Indirect Cost Rate(%) Indirect Cost Base($) Funds Requested($)
Modified Total Direct Costs 52.50 75,656.00 39,735.00
Cognizant Federal Agency: DHHS,Theodore Foster,214-767-3261 Total Indirect Costs 39,735.00
. Direct and Indirect C
Funds Requested($)
Total Direct and Indirect Costs (G+H) 124,953.00
J.
Funds Requested($)
Fee 0.00
K.Total Cost
Funds Requested($)
Total Cost with Fee (I+J) 124,953.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2015 06/30/2019 Project 3
A. Direct Labor-Key Personnel
Base Cal.Months Aced.Months Summ. Requested Fringe Funds
Name Project Role Requested($)
Salary($) Months Salary($) Benefits($)
Wang, Jun CO-I 0.00 .5 6,453.00 1,951.00 5,434.00
Carmichael, Gregory CO-I 0.00 .25 7,965.00 2,397.00 10,362.00
Stuffier, Charles PI 0.00 .5 6,233.00 1,576.00 5,109.00
Total Key Personnel Costs 26,905.00
ether Personnel
Number of Requested Fringe Funds
Project Role Cal.Months Aced.Months Summ.Months
Personnel Salary($) Benefits($) Requested($)
1 Graduate Students 12 29,026.00 6,356.00 35,412.00
1 GIS Professional Staff .4 1,455.00 566.00 2,051.00
2 Total Number Other Personnel Total Other Personnel Costs 37,463.00
Total Direct Labor Costs (Salary, Wages, Fringe Benefits) (A+B) 64,368.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2015 06/30/2019 Project 3
C. Direct Costs-Equipment
Item No. Equipment Item Description Funds Requested($)
Total Equipment Costs 0.00
irect Costs-Travel —010
Funds Requested($)
1.Domestic Travel(Including Canada,Mexico,and U.S.Possessions) 5,400.00
2.Foreign Travel 0.00
Total Travel Costs 5,400.00
E. Direct Costs-Participant/Trainee Support Costs
Funds Requested($)
1.Tuition/Fees/Health Insurance 0.00
2.Stipends 0.00
3.Travel 0.00
4.Subsistence 0.00
Number of Participants/Trainees: Total Participantfrrainee Support Costs 0.00
FORM NRESS-300 Version 3.0 Apr 09
PI Name:Charles Starrier NASA Proposal Number
Organization Name:University of Iowa,Iowa City TBD on Submit
Proposal Title:Retrieval,processing,data assimilation,and formatting of satellite remote sensed data for health users
Start Date: End Date: Budget Type: Budget Period
07/01/2015 06/30/2019 Project 3
F. Other Direct Costs
Funds Requested($)
1.Materials and Supplies 0.00
2.Publication Costs 2,400.00
3.Consultant Services 0.00
4.ADP/Computer Services 0.00
5.Subawards/Consortium/Contractual Costs 0.00
6.Equipment or Facility Rental/User Fees 0.00
7.Alterations and Renovations 0.00
8.Other:Graduation Student Tuition+Fees 10,005.00
Total Other Direct Costs 12,405.00
O. Total Direct Costs
Funds Requested($)
Total Direct Costs (A+B+C+D+E+F) 85,176.00
H.Indirect Costs
Indirect Cost Rate(%) Indirect Cost Base($) Funds Requested($)
Modified Total Direct Costs 52.50 75,165.00 39,463.00
Cognizant Federal Agency: DHHS,Theodore Foster,214-767-3261 Total Indirect Costs 39,463.00
. Direct and Indirect C
Funds Requested($)
Total Direct and Indirect Costs (G+H) 124,639.00
J.
Funds Requested($)
Fee 0.00
K.Total Cost
Funds Requested($)
Total Cost with Fee (I+J) 124,639.00
FORM NRESS-300 Version 3.0 Apr 09
TABLE OF CONTENTS
1. OBJECTIVES& SIGNIFICANCE...........................................................................................1
2. RELEVANCE TO NASA PROGRAMS...................................................................................2
3. QUALIFICATIONS FOR MEMBERSHIP..............................................................................2
4. RESEARCH PLAN.....................................................................................................................4
4.1 FINE-SCALE RE-ANALYSIS OF AIR QUALITY..............................................................................4
4.2 FUSION OF SATELLITE-BASED ATMOSPHERIC AND LAND SURFACE PRODUCTS FOR
CHARACTERIZING SMOKE AND DUST EVENTS AND IMPROVING MODELING OF NH3 AND DUST
EMISSION................................................................................................................................5
4.3 APPLICATION&OUTREACH: CREATE A TOOLKIT FOR AIR QUALITY INFORMATION TO SUPPORT
STATE AND LOCAL COMMUNITY HEALTH NEEDS ASSESSMENTS(CRNA)..............................7
4.4 APPLICATION&OUTREACH: INCORPORATE SATELLITE REMOTE SENSED AIR QUALITY
INFORMATION IN ONGOING EDUCATION AND OUTREACH.........................................................8
5. SOCIETAL IMPACT .................................................................................................................9
5.1 PUBLIC AIR QUALITY LITERACY ............................................................................................9
5.2 AIR QUALITY MANAGEMENT AND PUBLIC HEALTH PROFESSIONALS....................................10
5.3 EPIDEMIOLOGICAL POTENTIAL.............................................................................................10
5.4 ATMOSPHERIC SCIENCE, CLIMATE CHANGE IMPACTS,AND AIR QUALITY ANALYSIS...........10
6. KEY ACRONYMS AND FORMULA and REFERENCES CITED.....................................11
7.. BIOGRAPHICAL SKETCHES...............................................................................................17
8. SUMMARY OF WORK EFFORT..........................................................................................21
9. CURRENT AND PENDING SUPPORT.................................................................................22
10. LETTERS OF SUPPORT.........................................................................................................27
11. DETAILED BUDGET AND BUDGET JUSTIFICATION...................................................30
1. OBJECTIVES & SIGNIFICANCE
We propose to improve public awareness and relevance to public health in the use of NASA satellite
remote sensing data in the United States. Our effort will be national in scale and impact; however, we
will have an emphasis on the mid-continent region between the Rocky and Appalachian Mountains.
Within the region, areas episodically experience coarse dust, high emissions of ammonia, and local
and transported biomass burning smoke. Due to the sparse ground-based monitoring network, these
are poorly characterized from a public health and exposure assessment perspective.
The central U.S. contains a majority of the U.S. rural population. Despite health outcomes that
increasingly lag behind urban areas [Cossman et al., 2010], both public health planning and
epidemiological studies are hampered in rural areas due to the sparse monitoring network.
Epidemiological studies report an unexplained weak relationship between PM and mortality in low
population density counties [Correia et al., 2013], and the majority of counties in rural areas
completely lack ground-based monitors. Environmental factors such as differences in the nature and
sources of air pollution may contribute to the differences in health outcomes and the PM-mortality
relationship. Satellite remote sensing, especially when used in a data assimilation system, can help
establish concentrations. This provides critical information needed for planning public health
priorities,for educating the public and health professionals about air quality, and for exposure science
to support health studies. When conducting a training, communicating environmental health data to
the public via the web, or consulting or building a toolkit for state and local health officials,
visualization of data through maps is extremely effective and intuitive —there is no substitute. Maps
derived solely from sparse monitor networks or from simulations (without data assimilation) have
serious limitations for education and outreach—but these limitations can be addressed by incorporation
of high quality remote sensing fields.
To facilitate literacy and penetration regarding NASA satellite data for air quality and public health
applications, we will conduct as our H-AQAST' baseline project research-to-application activities
including (1) improvement of aerosol fields and data fusion methods; (2) development and
dissemination of educational portals for data visualization; and (3) tools and outreach
materials/workshops for local,regional and national partners in public health,K-12 education,medical
and other communities. The following are the specific objectives of our baseline H-AQAST work:
• Applied Research: Fine-scale re-analysis of air quality. Under AQAST, a reanalysis based on
the operational air quality forecast system at NOAA ARL was established, and a multi-year 12
km reanalysis of PM2.5 and ozone constrained by a variety of satellite and surface based
observations will be available in 2016. NOAA anticipates refining this to 4 km within the H-
AQAST timeframe. At either resolution, this is an extremely powerful tool for public health
planning, exposure science, and education. We propose to refine the spatial resolution of the
product further through downscaling with 1 km MODIS MAIAC AOD and disseminate it
within the health community within our study region, and evaluate its strengths and limitations
as an exposure dataset for health studies.
• Applied Research: Fusion of satellite-based atmospheric and land surface products to
characterize smoke/dust events in the central U.S. and improve emission models for dust and
NH3. The study region has seen an increase in drought frequency with corresponding increases
in fire and dust events, adding to already important agricultural sources of these PM
components. We propose to combine aerosol and fire products from MODIS and VIIRS,
aerosol product from OMI and CALIOP, ammonia from AIRS and TES, as well as smoke
A table of acronyms is attached after the proposal.
1
plume height and aerosol product from MISR to systemically analyze the temporal and spatial
nature of these episodic pollution events. These data sources will be synthesized to generate a
comprehensive description, analysis, and dataset of smoke and dust events for the Central U.S.
since 2000.
• Application &Outreach: Create a toolkit for air quality information to support state and local
Community Health Needs Assessments (CHNA). Hundreds of CHNA are written each year,and
many of them identify improvement of air quality as a need to improve community health;
however, easily accessible tools for air quality information to inform CHNAs are quite limited.
We propose to significantly improve the ability of public health professionals to prepare and
implement CHNAs through design, construction and dissemination of a web-based CHNA
toolkit and visualization portal that incorporates NASA/H-AQAST concentration products.
• Application & Outreach: Incorporate satellite remote sensed air quality information in
ongoing education and outreach. The team at Iowa works with a variety of educational and
public health partners (College of public health, schools, community groups, local/state
agencies) to conduct environmental and public health education. Our current curriculum is
effective but will be improved by promoting NASA/H-AQAST tools to these venues and
trainings.
2. RELEVANCE TO NASA PROGRAMS
The proposed work is highly relevant to the NASA's applied science program. It fits the objectives of
H-AQAST team (as defined in the proposal solicitation) to: (a) "broaden and deepen the awareness,
familiarity, and use of Earth observations by the health and air quality communities", (b) Deliver
prototypes, activities, demonstrations, etc. that support and complete the transition of applications to
operational and end-user organizations; and(c)"articulate specific applied needs and actual or possible
societal benefits stemming from research and applications".
The team will also contribute to the following areas that are part of H-AQAST team's expertise, as
outlined in the proposal solicitation,such as: "regional chemical and transport modeling", "Assessment
of the information content of satellite observations", "environmental health and air quality trend",
"Emissions and emissions inventory evaluation and improvement";"other environmental health issues
such as wild fires, ozone, and particulate matter".
3. QUALIFICATIONS FOR MEMBERSHIP
This team brings expertise to the H-AQAST team in the areas of:
• Extensive experience with NASA remote sensed data products and retrieval algorithm
development
• Data assimilation as both a forecasting and reanalysis tool, using remote sensed and surface
measurements
• Experience with the rapidly emerging generations of low-cost air quality sensors for training
and community health needs assessment
• Demonstration projects with air quality outreach to K-12 and public health agencies at the local
and state level
• Active air quality-health collaborations with the highly ranked (top 20) University of Iowa
College of Public Health
Charles Stanier is applying for membership on the H-AQAST team. He has authored or co-authored
over 40 peer-reviewed journal articles on aerosols [e.g. Donahue et al., 2006;Kalafut-Pettibone et al.,
2011;Navea et al., 2011;Stanier and Lee, 2014], air pollutants [Yucuis et al., 2013], and carbon cycle
2
gases. The Stanier research group has participated in field studies in Iowa City IA, Milwaukee WI,
and Bondville IL, and operates a tall tower sampling site for carbon cycle gases in Eastern Iowa under
contract with NOAA [Andrews et al., 2014]. After initial projects on Iowa air quality [Stainer et al.,
2009], Dr. Stanier (in collaboration with co-authors including Carmichael) comprehensively
investigated wintertime air quality in the Midwest during the LADCO Winter Nitrate Study [Baek et
al., 2010; Spak et al., 2012; Starrier et al., 2012; Kim et al., 2014]. In 2012, the research group
responded to an air quality emergency (a 17 day tire fire that combusted 20 million kg of tires)
including partnership with local public health officials on messaging and creation of an AQI [Downard
et al., 2015;Singh et al., 2015]. To make sure lessons learned from the event reached the public health
community, the work was disseminated to public health audiences (2012 Iowa Environmental Health
Association Conference; 2013 Iowa Governor's Conference on Public Health). He speaks widely in
the Midwest on issues of air quality. In 2010, he was a consultant to the Iowa Department of Natural
Resources PM2.5 Implementation Workgroup. In 2016, Dr. Stanier joined the USDA Agricultural Air
Quality Task Force. The Stanier group is currently working with partners in the region, including
AQAST members, to plan a 2017 field campaign to study ozone using satellites and GeoTASO
[Nowlan et al., 2015] or GCAS [Kowalewski and Janz, 2014].
The Stanier group led and collaborated on a variety of exposure modeling and air quality health studies
[Stanier et al., 2012;Porter et al., 2014; Stanier and Lee, 2014; Gao et al., 2015; Singh et al., 2015;
Turner et al., 2015a, 2015b]. Dr. Stanier leads an EPA environmental education project focusing on
air quality education and outreach in northeastern Iowa. Called CLE4R (www.iihr.uiowa.edu/clear4/)
it achieves environmental education by partnering technical expertise (University of Iowa) with city
government and local public health officials (City of Dubuque, including collaborator Corrigan) and
local education, planning, and non-profit partners. Previous outreach experience includes design and
delivery of a short course for K-12 teachers [Yarker and Forbes, 2013]. Dr. Stanier has served on the
boards of directors for the American Association for Aerosol Research and the Environmental Division
of the American Institute of Chemical Engineers. His awards include the NSF CAREER, the Walter
R. Rosenblith award from the Health Effects Institute, and the Sheldon K. Friedlander award by the
American Association for Aerosol Research. In this project he will serve as the expert on Midwestern
air quality and on methods for dissemination of air quality data to the public health community. Dr.
Stanier will represent the Iowa team on H-AQAST and lead the baseline activities proposed herein.
Jun Wane is a coinvestigator of the proposal and contributor to the proposed baseline research. As
appropriate, he would participate in Tiger Team work. Dr. Wang is a professor at the University of
Iowa. His qualifications for this proposal include —80 (co-) authored peer-reviewed articles on
atmospheric aerosols, atmospheric composition and climate change. He has been a PI/Co-I for several
NASA funded projects that use satellite remote sensing, chemical transport modeling, data
assimilation,and integration of these approaches.Dr. Wang was involved in early efforts to use satellite
data to monitor surface PM2.5 [Wang and Christopher, 2003], as well as recent applied science projects
to use MODIS and GEOS-Chem to improve aerosol emissions [Wang et al., 2012;Xu et al., 2013],
surface aerosol mass concentrations [Wang et al., 2010b], and visibility [Shahzad et al., 2013]. Under
the support of NASA's Applied Science Program, J. Wang has long collaborations with researchers in
EPA (J. Szykman), NASA (R. Levy; N. Krotkov), Emory/CDC (Y. Liu) and universities (K. Yang)
for using remote sensing(e.g. MODIS,OMI,LIDAR, OMPS)to study a variety of air quality problems
(e.g. smoke long range transport, visibility, volcanic plume transport, anthropogenic SO2, etc.) [Wang
et al.,2006, 2013b;Liu et al.,2011;Kessner et al.,2013; Yang et al.,2013]. J. Wang's team conducted
work using VIIRS Day-Night band radiance to study night-time PM2.5 and fire [Wang et al., 2013a],
and using VIIRS's blue band radiance to retrieve surface PM2.5 [Zeng et al., 2012]. For this project, he
will contribute expertise in areas of satellite remote sensing of aerosols and fires, retrieval validation,
chemical transport modeling of smoke, dust, and sulfate particles, and emission of fires.
3
Gree Carmichael is the Karl Kammermeyer professor of chemical and biochemical engineering,
director of the University of Iowa Informatics Initiative, and co-director of the Center for Global and
Regional Environmental Research. He is a co-investigator of this proposal and will participate in the
proposed baseline activities and join Tiger Team research as appropriate. With over 340 journal
publications, Dr. Carmichael is a leader in the development and application of chemical transport
models at scales ranging from local to global. The majority of his recent papers deal with the
development and application of chemical transport models (CTM) to studies in regional atmospheric
chemistry,air quality and climate. These research activities include the development of comprehensive
air quality models and their application to regional and international air pollution problems. His work
has also explored the importance of dust on atmospheric chemistry. His research has involved the
development of innovative modeling tools, including techniques to optimally integrate measurements
and models via formal chemical data assimilation. He serves as chair of the Scientific Steering
Committee for the United Nations World Meteorological Organization Environmental Programs. He
is a fellow of the American Institute of Chemical Engineers and he has received numerous awards,
most recently the American Institute of Chemical Engineer's Lawrence K. Cecil Award for outstanding
chemical engineering contribution and achievement in the preservation or improvement of the
environment. He was a member of the AQAST science team and will bring this experience to the Iowa
H-AQAST team. In this project he will contribute his expertise in data assimilation and air quality
modeling to help further develop the reanalysis described in 4.1 and its application to health studies.
He will also serve to link this activity internationally to the WHO and WMO.
Collaborating with the University of Iowa team are two scientists contributing unique NASA-derived
atmospheric products (Juying Warner&Alexei L Lyapustin)and an experienced local public health
official(Mary Rose Corrigan)from Northeast Iowa. Lyapustin will contribute high resolution ACD
as described in 4.1; Warner will contribute a remote-sensed NH3 product as described in 4.2; Corrigan
will participate in outreach and consult on public health dissemination and Community Health Needs
Assessment toolkit design as described in 4.3 and 4.4.
4. RESEARCH PLAN
4.1 Fine-scale re-analysis of air quality
Determining the health impacts of air pollution is a key element of air quality management. A key
component of such analysis is exposure estimates based on near surface atmospheric concentrations of
trace gases and particles. Exposure estimates are based on monitored values, models, and a blending
of observations and models. Furthermore they historically have been done on an infrequent time basis.
However there is growing interest by WHO, national and local agencies to develop a more systematic
and operational approach to health impact analysis, to track health impacts on regular and more
frequent time intervals,to better assess trends in changes in exposure and impacts and their relation to
policies/interventions.
Exposure estimates make use of model predictions of surface PM. However, the prediction of PM
surface concentrations and composition involves significant uncertainties due to uncertainties
associated with emissions, transport, chemical and removal processes. Assimilation of satellite and
surface observations can greatly increase the accuracy of surface level PM concentrations, and thus
reduce the uncertainty in health impact estimates that utilize modeled fields. Under AQAST a
reanalysis product based on the operational air quality forecast system at NOAA ARL was established
(Carmichael and Pius Lee were co-PIs on this activity). This system will be operational at NOAA and
provide a 12 km reanalysis of PM2.5 constrained by a variety of satellite based and surface observations.
An operational product for PM2.5,03,and aerosol composition hourly at 12 km spatial resolution(going
to 4 km in a year or two) for multiple years and updated annually is potentially transformative for
4
health and climate studies. In this proposed research we plan to focus on how disseminate it into the
public health, epidemiology, and exposure science communities, including procedures to downscale to
spatial resolution of 1 km. Due to the extensive data assimilation within the reanalysis, and the
consistent modeling framework from year to year, the ambient concentrations should be very useful
for as an exposure surrogate for both acute and chronic health effects studies. It will likely support
case crossover study designs, and it could be used to study the impacts of policy and natural
interventions on air quality and health, such as fuel switching at large electrical generation stations.
Furthermore, especially after downscaling, it could be used as an input concentration field to EPA
BenMAP for detailed quantification of health benefits.
Methods and work plan. In other H-AQAST proposed work with Carmichael as co-I, data assimilation
refinements to the reanalysis system at NOAA ARL are proposed. These include obtaining data feed
from newer and soon-to-be launched environmental satellites such as the SNPP, TROPOMI, TEMPO
and GOES-R. Moreover, dynamic boundary conditions from the Copernicus modeling program will
be used to account for long range transport of PM and ozone precursors from outside the U.S.
Outcomes and deliverables of this H-AQAST team effort include
1. Downscaling to lkm resolution (for PM2.5 at 3-mo time resolution) of the 12km NOAA ARL
reanalysis using 1 km MODIS MAIAC fields [Emili et al., 2011; Lyapustin et al., 2011 a,
2011b; Kloog et al., 2014, 2015]. ACD will be used to provide subgrid variation using
spatiotemporal smoothed regression vs. meteorological fields and surface PM2.5.
2. Document the strengths and weaknesses of the reanalysis product with respect to use as an
exposure surface in a variety of epidemiological study designs.
3. Disseminate it within the health community nationally and within our study region. This will
be done through publications, magazine/e-newsletter articles, and conference presentations.
4. In conjunction with task 3, develop a viewing portal tailored to health-focused users.
5. Format the dataset for viewing/use in other related data portals (RSIG, BenMAP, Iowa and
CDC Environmental Public Health Tracking Program sites).
Collaborator Lyapustin will provide the MAIAC ACD product at 1 km resolution over the U.S. since
2001,which is available under the GEO-CAPE aerosol working group(co-led by J. Wang). Extensions
of this work that may be pursued under the H-AQAST Tiger Team phase could include (i) data
processing or dataset merging that facilitate specific epidemiological studies, (ii)fine scale emissions,
(iii)high resolution sector-based exposure estimates, (iv) extension to areas of the world with sparse
monitoring networks, (v)focus on coarse PM in addition to PM2.5, and/or(vi)assimilation and quality
assurance of low-cost portable sensor data.
This activity can be viewed in a larger international context. Atmospheric composition services at the
global scale are being established.Under the auspices of the EU,the Copernicus Program has published
chemical analysis 0.5 by 0.5 degree resolution since 2009. The Copernicus Program (CAMS)also has
a forecasting service. The consistency and continuum of the data assimilation schemes in both these
Copernicus services significantly advanced knowledge and forecasting accuracy. Additional partners
for the wider reanalysis effort(across and beyond H-AQAST)include local and regional AQ managers,
NOAA, EPA, CDC, HEI, ECMWF9CAMS, WMO, WHO, UNEP, World Bank, and CCAC.
4.2 Fusion of satellite-haled atmospheric and land surface products for characterizing smoke
and dust events and improving modeling of NH3 and dust emission
Air quality in the central U.S. is episodically influenced by dust and smoke pollution, especially during
drought years when fire and wind-blown dust events occur most intensely in semi-arid regions
[Peterson and Wang, 2013; Wang et al., 2015]. The mid-continent U.S. has, over recent decades,
experienced increases in extreme precipitation, catastrophic flooding and drought, severe heat waves
5
[Wang et al., 2010a], and intensification of the hydrological cycle [Karl et al.,2009]. Dust and smoke
particles have distinctive properties(size,angstrom exponent, single scattering albedo,etc.)that enable
discrimination by satellite remote sensing [Eck et al., 1999; Wang, 2003; Wang et al., 2004; Reid et
al., 2005]. Consequently, satellites such as TOMS that are sensitive to aerosol absorption have been
used for decades to detect dust sources and monitor transport of smoke and dust particles [Hsu et al.,
1996; Prospero et al., 2002; Ginoux and Torres, 2003]. Soon after the MODIS aerosol products are
retrieved from dark target and deep-blue algorithms, containing semi-qualitative information of
particle size [Hsu et al., 2006; Levy et al., 2013], they have been used together with TOMS and OMI
to classify smoke and dust particles in air masses [Ginoux et al.,2010]. Recently,Ginoux et al. [2012a]
also combined MODIS deep-blue product with the land use product to characterize anthropogenic and
natural dust sources. Interestingly,Ginoux et al. [2012b] showed that MODIS AOD is highly correlated
with columnar NH3 retrieved from IASI infrared spectra. They found similarities in their spatial
distributions of dust and NH3, in particular their hot spots are often collocated over croplands and to a
lesser extent pastures, suggesting that agricultural practice is an importance source of dust.
Methods and work plan. We
propose to characterize the
smoke and dust events over the - ---
study region through a combined
use of satellite products. Clouds? .
Smoke event identification. We \Dust
ase
will combine aerosol product
from MODIS, MISR, and a
Oklahoma 100 km k
s
TOMS/OMI, MISR plume
height product, MODIS fire
product, and MOPITT/AIRS CO Figure 1. (left)MODIS true color dust plumes on 18 Oct 2012.
and CALIOP aerosol product to (right) Simulated dust AOD by GEOS-Chem on 18 Oct.
identify smoke events over our
study region. We will showcase our results to illustrate the importance of satellite observation for air
quality monitoring, and compare it with ground-based observations to highlight the spatial advantage
of satellite data as well as the rich information available from multi-sensor and multi-data product
fusion. To our knowledge, the climatology of smoke events over the central U.S. is not characterized.
We will also articulate the importance of the link between climate change and air quality in context of
drought.
Dust event and source identification. We also plan to combine aerosol product from MODIS, MISR,
and TOMS/OMI, MISR plume height product, AIRS NH3 and CALIOP aerosol product to identify
dust events and dust sources. MODIS land surface products including soil moisture and leaf area index
will also be used to better understand the dust sources.
Improve parameterization of NH3 emission. Our study region is a significant source of NH3 due to
agricultural operations, fertilizers and livestock.NH3 emission is expected to have significant temporal
variation with temperature, fertilizer application [Balasubramanian et al., 2015], and crop phenology
(or stage of growth)and hence land surface characteristics. This variation can be characterized through
a combined use of NH3 data retrieved from TES and AIRS, land surface temperature and type from
MODIS, and soil moisture from SMAP. Dr. Juying Warner, the developer of NH3 retrieval for AIRS
[Warner et al., 2015], will collaborate with us on this project, and provide NH3 data.
As an example, Figure 1 shows a dust event originated from agriculture fields in Nebraska in October
2012. Severe drought in 2012 left soil susceptible to wind erosion. As a result, strong winds uplifted
6
soil dust from cropped fields in 2012, leading to temporary closure of interstate 80. Such dust events
are not in typical inventories, but they can be simulated by incorporating indicators of canopy health
and drought into CTMs. This example illustrates how we will combine satellite data to improve fine
scale reanalysis.
4.3 Application & Outreach: Create a toolkit for air quality information to support state and
local Community Health Needs Assessments(CHNA)
Hundreds of Community Health Needs Assessments (CHNA) are written each year. They are written
periodically by state and local government and cover many social and environmental determinants of
health [Barnett, 2012; CDC, 2013]. Many of them identify improvement of air quality as a need to
improve community health. However, easily accessible tools for air quality information to inform
CHNAs, and then to assess whether there has been improvement, are limited, typically to county level
PM2s and 03 averaged annually as in Figure 2D. Figure 2 shows some of the sources of air quality
information applicable to task 3 (section 4.3) and task 4(section 4.4).
m _ ❑�
A
j
G
Figure 2. Examples of existing methods to determine air quality. (A) EPA Aimow for 03 and PMz5
AQI values, (B) NOAA operational AQFG for 03 (airqualitymeather.gov); (C) Hand-held Airbeam
portable monitors during PM25 mapping in Iowa(www.iihr.uiowa.edu/clear4O; (D)The CDC website
National Environmental Public Health Tracking Program; (E) Crowd-sourced map from Airbeam
portable monitor readings in Washington DC (aircasting.org).
The AQI exceedance count is a recommended metric for tracking air quality level and air quality
improvement for a CHNA. However,at the county scale, a team writing the CHNA has no information
on pollution hotspots that may exist within a county, unless detailed assessment of individual sources
or high resolution modeling or satellite-derived PM has been done for the area [Schmitz, 2016].
Products such as the 12 km 03 simulations of the National Air Quality Forecast Capability(NAQFC),
and the BenMAP system [US EPA, 2015] offers some features needed for CHNA but they have
important limitations.
Methods and work plan. We propose to significantly improve the ability of public health professionals
to prepare and implement CHNAs through design, construction and dissemination of a web-based
CHNA toolkit and visualization portal that incorporates NASA/H-AQAST concentration products.
The tasks/deliverables for H-AQAST under task 4.3 will be:
1) Through surveys, interviews, and literature review, document the feature set and visualization of
air quality for CHNA beyond currently available tools. This will be facilitated through our
partnership with the Community Outreach Core of the NIEHS Center, the University of Iowa
Environmental Health Sciences Research Center(letter attached). Furthermore, the Iowa Dept. of
Public Health is interested in testing our 12 and 1 km products in their Public Health Tracking and
mapping portal [Schmitz, 2016].Finally, collaborator Corrigan will be consulting on CHNA issues;
she is responsible for writing and implementing the Dubuque CHNA. Additional partners
regarding this topic will be identified as the project unfolds. Through Iowa research centers that
the PI is affiliated with, there is considerable expertise in web-based mapping (e.g. Iowa Flood
Information Center http://ifis.iowafloodeenter.org/ifis/#nocase3). Visualization partnerships with
the CDC(Figure 2D)and other air quality mapping/data exchange services (e.g., Remote Sensing
Information Gateway(RSIG), IDEA, etc.)will be explored.
2) Provide a visualization website for the datasets described in sections 4.1 and 4.2. The portal design
focus on the needs of local and state public health officials.
3) Assess the effectiveness of the tool via interviews, surveys, and usage tracking. As a part of H-
AQAST participation, we will conduct two outreach trips annually within the public health
community of the central U.S.
4.4 Application & Outreach: Incorporate satellite remote sensed air quality information in
ongoing education and outreach
As part of our H-AQAST baseline activities, we will include H-AQAST products in our ongoing
training, outreach and dissemination activities. For example in the PI's ongoing CLE4R environmental
education project, the focus is on hand-held low cost sensors [Williams et al., 2014] as a mapping and
engagement tool. Satellite remote sensed PM2.5 receives fairly limited coverage, partly because the
spatial resolution of most air quality satellite products is too coarse to be interesting to our trainees.
With higher resolution, a focus on episodic events (e.g., dust and smoke), and an appropriate web-
based interface,the complete spatial coverage of remote-sensed air quality and reanalysis products will
be extremely complementary to our existing efforts.
Many of our training audiences have very little prior knowledge of air pollution and its health effects.
Because of its evidence-based track record,we strive to use a student-centered inquiry-based approach
[Hand et al., 2009]. Rather than being told facts about air quality, the emphasis is on the student
creating their own questions, followed by experiment, data analysis, claims, argument, and evidence.
This technique is now possible using low-cost hand held sensors of PM2.5,CO2,and NO2 in conjunction
with real time maps of the concentrations available on personal tablets and smartphones. In our CLE4R
research, 100%of survey respondents report positively about learning using the low-cost sensors.
While the student-centered approach with low-cost sensors builds interest and knowledge, it has
limitations. Once participants conduct a local-scale experiment (e.g. spatial scale of 10s to 100s of
meters),they often become curious about other questions that are more difficult to answer with a hand-
held monitor. What is the average concentration at my house? Along my bike route? In the next town
over? In other words, they want to see maps of environmental data at a variety of spatial scales and
averaging times, and maps are a proven educational tool for environmental data [Bodzin et al., 2013].
8
5. SOCIETAL IMPACT
The Iowa H-AQAST team proposal combines a varied set of team member skills to make a measurable
impact on the conduct of air quality public health,particularly in the targeted region of the central U.S.
By combining experts in atmospheric modeling, data assimilation, satellite remote sensing,
environmental education, and public health outreach, we are well suited to make a valued
interdisciplinary contribution.
The focus on the central U.S., an understudied area with a significant rural population as well as
episodic pollution sources (i.e. windblown dust, agricultural dust, ammonia, biomass burning), should
increase the overall impact of H-AQAST by complementing other projects. In addition to a majority
of the U.S. rural population, the central U.S. is home to three of the top ten most populous U.S. cities
(Chicago, San Antonio, and Dallas) and 20 other large metropolitan areas. Therefore, techniques
applied in the baseline project will be tested and disseminated in both rural and urban communities.
Furthermore, we believe the team is well-suited to make contributions to some of the Tiger Team
projects as they arise.
The societal impact of the baseline project elements is discussed according to our anticipated
audiences. Dissemination of the 12 km and downscaled reanalysis within the health community,within
the central U.S., and within the peer-reviewed literature will be valuable. We will be sure to quantify
and present both strengths and limitations.
5.1 Public Air Quality Literacy
Our training and outreach activities touch hundreds of individuals in the region directly through in-
person trainings and presentations. Indirectly(through train-the-trainer,use of our materials in schools,
and media coverage)we influence air quality knowledge for tens of thousands of people in the region.
We find there is an overabundance of information available to public health practitioners,teachers, and
to the general public,but it is confusing because it is either too technical,not applicable to their specific
question or location, or at the wrong temporal or spatial scale. In our trainings and websites, we try to
direct users to high quality and relevant data sources — at the correct temporal averaging and spatial
resolution for their health-related need or interest. The incorporation of H-AQAST materials into our
ongoing outreach will benefit health through enhanced literacy, enhanced commitment to healthy air,
and better decision making skills. Furthermore,we have survey-based assessment methods to gage our
impact on air quality literacy as part of the ongoing CLE4R project. These will be adapted to the H-
AQAST component. Our efforts improve the air quality knowledge of the people that are involved in
the discussion, writing, implementation and evaluation phases of CHNA plans — this then has an
additional multiplier as those CHNA plans influence air quality management and education throughout
the region and nation.
For members of the public that are particularly interested, multi-pollutant concentrations and AQI will
be available through user-friendly interfaces. The impacts of dust and smoke episodes, which often
receive media coverage and public attention, will be accessible through the dust/smoke/NH3
climatology. Our products from baseline activities will also enable comparison of trends on a 10 year
timescale. Additionally, we will make user-friendly access to lkm resolution PM2.5 a reality. This
should lead to much more informed decision making regarding trends and hotspots than is now
possible.
As our data products are integrated into state public health planning tools (and ideally to CDC planning
tools, but that partnership is not yet in place)the impact will be much larger. These tools, incorporated
into trainings, outreach, our web portal, and into CHNA plans across the region will potentially
influence air quality management and perception for millions of residents.
9
5.2 Air Quality Management and Puhlic Health Professionals
Air quality managers and public health professionals appreciate and need the types of products that we
will be producing in H-AQAST. Those that we have spoken to are enthusiastic about the tools for
exposure science to support CHNA development and implementation. See for example letters of
support. The features of our H-AQAST products discussed above(climatology of episodes, connection
to climate, appropriate temporal averaging, appropriate resolution down to 1 km, multipollutant,
integrated with AQI, ability to see trends, interannual and seasonal variability, etc.) are based on the
needs expressed by those in the public health communities that we interact with. We believe enabling
these planners and trainers with user-friendly and up-to-date information on concentrations will lead
to better air quality literacy and to more effective CHNA plans.
5.3 Epidemiological Potential
Through our dissemination efforts we anticipate that epidemiological studies will be conceived of and
then be conducted with the reanalysis data. Two studies in particular that we are interested in(and will
pursue independently) are a regional time series epidemiological study quantifying relationships
between acute cardio-pulmonary events and short term PM2.5 exposure and composition,using regional
hospital admissions and Medicare/Medicaid datasets. This has been hampered to date by lack of
exposure estimates. And we are further interested in the high incidence of mortality and morbidity
from lower respiratory infections in the north central U.S. We believe our presentations, publications
and website will garner sufficient attention to spur new health studies enabled by improved exposure
datasets.
5.4 Atmospheric Science, Climate Change Impacts, andAir Quality Analysis
The demonstration of methods for combining 1 km satellite AOD from the MODIS MAIAC product
with 12 km model reanalysis for subgrid downscaling will be a valuable contribution to atmospheric
science and air quality modeling. It will be applicable to other pollutants and domains and have broader
impact if used in subsequent studies.
The 10 year dataset will support analyses looking at the impact of emission reductions, and at those
studying natural variability in the 03 and PM2.5 systems (e.g., dry/hot years vs. wet/cool years). Natural
experiments and interventions (e.g., facility closures, transportation infrastructure projects, or fuel
switching at PM2.5 and SO2 sources)will be resolved in the reanalysis. Trends in air quality related to
long term land-use, economic, and climate trends will be amenable to analysis of the 12km and lkm
products. As mentioned in section 4.1, the reanalysis activity is part of a larger international context.
Atmospheric composition services at the global scale are being established (led by the Copernicus
system at ECMWF)and this would include H-AQAST in the U.S. portion of the effort.
The documentation of the timing, intensity, and spatial scale of dust, NH3, and smoke events in the
central U.S. is an important characterization effort. The use of a wide range of satellite products to do
it will be a methodological advance that may be replicated in other regions. The episodes themselves
are difficult to capture in the sparse ground-based monitoring networks, and they are not captured in
standard air quality models due to insufficient emission inventories. Therefore, this will be the first
systematic characterization of these air pollution (and climate forcing)agents. The linkage of soil and
land cover properties to emissions will enable improved models for regional emissions. This will in
turn improve understanding of links between climate, weather and air quality in the region.
10
KEY ACRONYMS AND FORMULA
AIRS Atmospheric Infrared Sounder IMPROVE Interagency Monitoring of PROtected Visual
Environments
ADD Aerosol Optical Depth LIDAR Light Detection and Ranging
AQ Air Quality MAIAC Multian le Implementation of Atmospheric Correction
AQI Air Quality Index MISR Multi-angle Imaging S ectroRadiometer
AQAST Air Quality Applied Sciences Team MODIS Moderate Resolution Imaging Spectrometer
AQS Air Quality System MOPITT Measurements of Pollution in the Troposphere
ARL NOAH Air Resources Laboratory NAAQS National Ambient Air Quality Standard
CALIOP Cloud-Aerosol Lidarwith Orthogonal NAQFC National Air Quality Forecast Capability
Polarization
CAMS Copernicus Atmosphere Monitoring Service NEPHTN National Environmental Public Health Tracking Network
CCAC Climate and Clean Air Coalition NIEHS National Institute of Environmental Health Sciences
CDC Centers for Disease Control and Prevention NH3 Ammonia
CHNA Community Health Needs Assessment NOAA National Oceanic and Atmospheric Administration
CTM Chemistry Transport Model NPOESSI National Pdar-orbiting Operational Environmental
NPP Satellite System/NPOESS Preparation Mission
ECMWF European Center for Medium range Weather 03 Ozone
Forecasting
EHSRC Environmental Health Sciences Research OMI Ozone Monitoring Instrument
Center
EPA Environmental Protection Agency PMIPM2.51 Particulate matter(PM)with diameter less than 2.5µm
PM10 / 10 Pm
GEO-CAPE GEOstationary Coastal and Air Pollution RMSE Root Mean Square Error
Events
GEOS-chem Goddard Earth Observing System—Chemistry SNPP Suomi National Pdar-orbiting Partnership
model
GOES Geostationary Operational Environmental TEMPO Tropospheric Emissions: Monitoring of Pollution
Satellites
H-AQAST Health and Air Quality Applied Sciences Team TES Tropospheric Emissions Spectrometer
HEI Health Effects Institute VIIRS Visible Infrared Imager Radiometer Suite
IDEA Infusing satellite Data into Environmental WHO World Health Organization
�Applications
WMO lWodd Meteorological Organization
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Wang, J., and S. Christopher(2003), Intercomparison between satellite-derived aerosol optical
thickness and PM 2.5 mass: Implications for air quality studies, Geophys. Res. Lett., 30(21),
2095, doi:10.1029/2003GL018174.
Wang, J., X. G. Xia, P. C. Wang, and S. A. Christopher (2004), Diurnal variability of dust
aerosol optical thickness and Angstr6m exponent over dust source regions in China,
Geophys. Res. Lett., 31(8), L08107, doi:10.1029/2004GL019580.
Wang, J., S. A. Christopher, U. S. Nair, J. S. Reid, E. M. Prins, J. Szykman, and J. L. Hand
(2006), Mesoscale modeling of Central American smoke transport to the United States: 1.
"Top-down" assessment of emission strength and diurnal variation impacts,J. Geophys.
Res., 111(D5), D05S 17, doi:10.1029/2005JD006416.
Wang, J., X. Xu, R. Spurr, Y. Wang, and E. Drury(2010b), Improved algorithm for MODIS
satellite retrievals of aerosol optical thickness over land in dusty atmosphere: Implications
for air quality monitoring in China,Remote Sens. Environ., 114(11), 2575-2583,
doi:10.1016/j.rse.2010.05.034.
Wang, J., X. Xu, D. K. Henze, J. Zeng, Q. Ji, S.-C. Tsay, and J. Huang(2012), Top-down
estimate of dust emissions through integration of MODIS and MISR aerosol retrievals with
the GEOS-Chem adjoint model, Geophys. Res. Lett., 39(8), n/a-n/a,
doi:10.1029/2012GL051136.
Wang, J., Z. Yang, J. Zeng, Y. Liu, and R. Levy(2013a), First application of VIIRS DNB for
night-time particulate matter study, in NASA Air Quality Science Team Meering, College
Park, MD.
Wang, J., S. Park, J. Zeng, C. Ge, K. Yang, S. Cam, N. Krotkov, and A. H. Omar (2013b),
Modeling of 2008 Kasatochi volcanic sulfate direct radiative forcing: assimilation of OMI
SO2 plume height data and comparison with MODIS and CALIOP observations,Atmos.
Chem. Phys., 13(4), 1895-1912, doi:10.5194/acp-13-1895-2013.
Wang, Y., Y. Xie, L. Cai, W. Dong, Q. Zhang, and L. Zhang(2015), Impact of the 2011
Southern U.S. Drought on Ground-Level Fine Aerosol Concentration in Summertime*,J.
Atmos. Sci., 72(3), 1075-1093, doi:10.1175/JAS-D-14-0197.1.
Warner, J. X., Z. Wei, L. L. Strow, R. R. Dickerson, and J. B. Nowak(2015), The global
tropospheric ammonia distribution as seen in the 13 year AIRS measurement record,Atmos.
Chem. Phys. Discuss., 35823 35856.
Williams, R., A. Kaufman, T. Hanley, and J. Rice (2014),Evaluation ofField-deployed Low
Cost PM Sensors.
Xu, X., J. Wang, D. K. Henze, W. Qu, and M. Kopacz (2013), Constraints on aerosol sources
using GEOS-Chem adjoint and MODIS radiances, and evaluation with multisensor(OMI,
MISR) data,J. Geophys. Res.Atmos., 118(12), 6396-6413, doi:10.1002/jgrd.50515.
Yang, K., R. R. Dickerson, S. A. Cam, C. Ge, and J. Wang(2013), First observations of SO 2
from the satellite Suomi NPP OMPS: Widespread air pollution events over China, Geophys.
Res. Lett., 40(18), 4957 4962, doi:10.1002/grl.50952.
Yarker, M., and S. P. and C. T. Forbes (2013), Teacher Challenges, Perceptions, and Use of
Science Models in Middle School Classrooms about Climate, Weather, and Energy,
University of Iowa, Iowa City.
Yucuis, R. A., C. O. Stanier, and K. C. Hombuckle (2013), Cyclic siloxanes in air, including
identification of high levels in Chicago and distinct diurnal variation, Chemosphere, 92(8),
15
905-910, doi:10.1016/j.chemosphere.2013.02.051.
Zeng, J., J. Wang, Y. Liu, Z. Yang, and X. Xu (2012), Application of VIIRS data for remote
sensing of surface particulate matter in Atlanta city, in AGU 2012 Fall Meering, San
Francisco CA.
16
Charles O. Stanier
Department of Chemical and Biochemical En ineering
University of Iowa, Iowa City, IA 52242
Phone: 319-335-1399; FAX: 319-335-1415; e-mail: charles-stanier@uiowa.edu
website: http://www.engineering.uiowa.edu/—cs_proj twitter @stanierlab
(a)Professional Preparation
Princeton University,Princeton NJ Chemical Engineering B.S.E, 1994
Johns Hopkins University,Baltimore,MD Environmental Engineering M.S.E, 1998
Carnegie Mellon University,Pittsburgh,PA Chemical Engineering Ph.D., 2003
(b) Appointments
II/12 to present, Associate Professor, Dept. of Chemical and Biochemical Engineering, Univ. of Iowa
7/12 topresent, Associate Research Engineer,IIHR-Hydroscience&Engineering,Univ. of Iowa
6/13 to 12/13,Visiting Associate Professor of Atmospheric and Oceanic Science,Univ. of Maryland
8/04 to 6/12, Asst. Professor, Dept. of Chemical and Biochemical Engineering,University of Iowa
8/04 to 6/12, Asst. Research Engineer,IIHR-Hydroscience &Engineering, University of Iowa
8/03 to 6/04,Postdoctoral Researcher, Carnegie Mellon University
6/94 to 5/99,Environmental Engineer and Supervisor,International Paper, Odenton,MD
(c) Most Relevant Publications to EPRI Proposal (out of 43)
1. Starer, CO, Singh,A, Adamski,W,Back, J, Caughey,M, Carmichael, GR,Edgerton,E,Kenski,D,Koerber,M,
Olesom J,Rohlf, T,Lee, SR,Riemer,N, Shaw, S, Sousam S, Spak, S,Back, J, Carlson, J, Carmichael, G,Kim,YJ,
Riemer,N, Starer, CO. "Overview of the LADCO Winter Nitrate Study: Hourly Ammonia,Nitric Acid and PM2.5
Composition at an Urban and Rural Site Pair During PM2.5 Episodes in the U.S. Great Lakes Region." Atmos. Phys.
Chem. Vol. 12,2012,pp. 1-12. doi:10.5194/acp-12-1-2012.
2. Yoo Jung Kim, Scott Spak, , Gregory Carmichael,Nicole Riemer, and Charles Starer. Aerosol nitrate formation
pathways during wintertime in the Great Lakes region of North America. Journal of Geophysical Research--
Atmospheres. Vol 119(21),pp. 12,420-12,445,2014.
3. Spak, S.,Back,J., Carlson, J.,Carmichael, G. R.,Kim, Y. J.,Riemer,N., Starer, C. Episodic Air Pollution in
Wisconsin(LADCO Winter Nitrate Study) and Georgia(SEARCH Network)During Jan-Mar 2009. Phase II
Report. Three Dimensional Modeling and Process Analysis. Phase II Report for the Lake Michigan Air Directors
Consortium (LADCO). January 2012. Rosemont,IL.
4. Back, J., Carmichael, G.,Lee, S.R., Olesom J.,Riemer,N.,Rohlf, T., Sousam S., Spak, S., Starer, C. Episodic Air
Pollution in Wisconsin(LADCO Winter Nitrate Study)and Georgia(SEARCH Network) during Jan-Mar 2009.
Phase I Report for the Lake Michigan Air Directors Consortium (LADCO). November 2010. available online at:
http://www.ladco.org/reports/mo/monitoring/FINAL IOWA phase 1 report novll.pdf.
5. Matthew D. Turner,Henze,D.K.,Hakami,A.,Zhao, S.,Resler, J., Carmichael, G.R.., Starer, C.O.,Back, J.,
Sunda,A.,Russell,A.G.,Nenes,A., Jeong, J.R., Capps, S.L.,Percell,P.B.,Pinder,R.W.,Napelenok, S.L.,Bash,
J.O., Chaiy, T. Differences Between Magnitudes and Health Impacts of BC Emissions Across the US Using 12km
Scale Seasonal Source Apportionment. Environmental Science and Technology. Vol 49, 7,pp. 4362-4371, doi
10.1021/es505968b,2015.
Other Selected Publications
6. Matthew D. Turner,Daven K. Henze, Shannon L. Capps,Amir Hakami, Shunhu Zhao, Jaroslav Resler,Gregory R.
Carmichael, Charles O. Starer, Jaemeen Back,Adrian Sandu, Armistead G. Russell,Athanasios Nenes,Peter B.
Percell,Rob W.Pinder, Sergey L.Napelenok, Jesse O. Bash, and Tianfeng Chair. Premature deaths attributed to
source-specific BC emissions in six urban US regions. Environmental Research Letters. Vol 10, 114014,doi
10.1088/1748-9326/10/11/114014,2015.
7. Meng Gao, Sarath K. Guttikunda, Gregory R. Carmichael, Yuesi Wang,Zirui Liu, Charles O. Starer. Health
Impacts and Economic Losses Assessment of the 2013 Severe Haze Event in Beijing Area. Science of the Total
Environment. Vol 511,pp. 553-561, doi 10.1016/j.scitotenv.2015.01.005,2015.
8. Singh,A., Spak, S.N.,Downard,J.,Bullard,R., Stone,E.A.,Wichman,M.D.,Peters, T.,Beardsley,D., Starer, C.
Uncontrolled combustion of shredded tires in a landfill Part 2: Population exposure,public health response, and an
air quality index for urban fires. Atmos. Environ. Vol. 104,pp. 273-83, doi:10.101 6/j.atmosenv.2015.01.002, 2015.
9. Bryan R. Bzdek,Andrew J. Horan,M. Ross Pennington,Nathan J. Janechek, Jaemeen Back, Charles Starer,
Murray V. Johnston. Silicon is a Nearly Ubiquitous Component of Atmospheric Nanoparticles. Environmental
Science and Technology. Vol 48(19),pp. 11137-11145,2014.
17
(d) Synergistic Activities
• Developed a summer workshop on Climate,Weather and Energy in the 6'-9'Grade Classroom, and
delivered it to 21 middle school teachers(2011).
• Leading an environmental outreach and education project: CLE41Z"CLEan Air in the River Valley." CLE41Z
is a new collaborative effort between the University of Iowa,the City of Dubuque, and Dubuque-area partners
to improve air quality(2015-2017).
• Participation in interdisciplinary research institutes with focus areas in nanotechnology,environmental science,
and health: IIHR Hydroscience and Engineering,Iowa Center for Global and Regional Environmental
Research(CGRER),University of Iowa NIH Environmental Health Sciences Research Center(EHSRC), and
Nanoscience and Nanotechnology Institute at UI
• Contribute to professional development in engineering by serving as Director of Graduate Studies,Univ. of
Iowa Dept. of Chemical Biochemical Engin. 2007-present. In that role,have increased support and mentoring
for all students with a focus on URM students.
• Other Professional Activities:
- Professional Engineering License(MD, 1998)
- Mentor to URM Doctoral Students,Univ. of Iowa Sloan Fellows Program (2014-present)
- Elected Member,Board of Directors of American Association of Aerosol Research(2010-2013)
- Member Representative to the University Corporation for Atmospheric Research(UCAR) (2006-2011)
(e) Collaborators and Other Affiliations (including conflicts of interest from former thesis committees,
affiliation is University of Iowa unless otherwise listed)
(i) Collaborators — B.K. Abban, Univ. Tenn.; K. Anderson; A. Andrews, NOAH; J. Back; J.O. Bash, USEPA; J.
Baumgartner, McGill; M. Berms, Indiana Univ.; B. Bzdck, Univ. Delaware; S. Capps, UC Boulder; J. Carlson, Roche
Pharmaceuticals;G.R.Carmichael;M.Caughey,Illinois Soil Water Survey;Taifeng Chai,NOAA/EPA;R.K.Chakrabaty,Wash.
Univ.; H. Chen,Univ. Iowa;A. Comcllas; J. Downard; E. Edgerton,ARA; J. Ficgcl;R.W. Field;T. Tilley, Purdue;C. Forbes,
Univ.Ncb.;M.Gao;M.Goldberg,McGill;J.Grandquist;V.Grassian,UCSD;S.Guttikunda,DRI;A.Hakami,Carleton(Ottawa);
J. Hatfield, USDA; D. Henze, UC Boulder; K.C. Hombucklc; A. Home; M. Huang, CARB; J.R. Jeong, Georgia Tech.; M.V.
Johnston,Univ.Del.;D.Kenski,LADCO;Y.J.Kim;M.Koerber,USEPA;J.Kof er,NOAH;P.Kostle,Iowa Hygienic Lab;Zirui
Liu,Atmos. Phys. Chin. Acad. Sci.;M. Mainprize,Iowa Hygienic Lab;P. Marrapu,NOAH; S.L.Napelenok,USEPA;D.Neff,
NOAH;A.Nenes,Georgia Tech.;J.J.Olcson;A.N.Papanicolaou,Univ.Tenn.;T.Peters;R.Pinder,USEPA;A.Porter;P.Purcell,
Univ. Houston;C. Rathnayakc;J. Resler, Inst. Comp. Sci. (Prague);N. Riemer,Univ. Illinois;A.G. Russell, Georgia Tech.; P.
Saidc;H.A. Sander;A. Sandu,Virginia Tech.;E. Sawvcl;S. Shaw,EPRI;D.Simmons,Iowa Hygienic Lab;S. Spak;E. Stone;J.
Tamcrius; P. Tans,NOAH;J.R.Turner,Wash. Univ.; M. Turner,UC Boulder;K.M.Wacha; Yucsi Wang,Atmos. Phys. Chin.
Acad. Sci.; M. Wichman, Iowa Hygienic Lab; J.C. Williams, NOAH; B.J. Williams,Wash. Uruv.; C.G. Wilson,Univ. Tenn.;
M.B. Yarkcr;Man Yu,DOE;R.Yucuis;S.Zhao,Carleton(Ottawa).
(ii)Graduate and Postdoctoral Advisor- Spyros Pandis, currently University of Patras, Greece
(iii) Thesis Advisor and Postgraduate-Scholar sponsor: J. Elliott Campbell(Ph.D.2007);K. Olanrewap(M.S. 2006);
Juan Navea(postdoc 2006-2009);Alicia Pettibone(Ph.D.2009);Sinan Sousan(Ph.D.2012);Aditsuda Jamrocnsan(Ph.D.2013);
Sang Rin Lee(postdoc 2007-2011);Jacmeen Back(postdoc 2009-2014);Robert Bullard(Ph.D.2015);Ashish Singh(Ph.D.2015).
Total Number of Graduate Students Advised(including current and past Ph.D. and M.S. thesis students): 9 Total Number of
Graduate Students Advised (including non-thesis M.S. Students): 21. Total Number of Postdoctoral Associates Advised: 3
Total Number of Visiting Scientists: 0
(iv)Current Research Group- Graduate Students:Nate Janechek(4'year); Can Dong(4'year).
Undergraduate Researcher:Nathan Bryngelsom Matthew Johnson, John Mauk.
(f) Other Information
(a)Awards and Honors -
Faculty Excellent Award for Service. University of Iowa College of Engineering, 2015
Recognition for Excellence in Teaching and Dedication to Student Success,University of Iowa Dept. of
Chemical Engineering Graduating Class(2012, 2013, 2015)
National Science Foundation CAREER Award(2008)
Walter A. Rosenblith New Investigator Award of the Health Effects Institute(2007)for"Development and
Application of a Personal Exposure Screening Model for Size-Resolved Urban Aerosols"
Sheldon K. Friedlander Award of AAAR(2006),
Teresa Heinz Scholars for Environmental Research Award(2002)
National Science Foundation Graduate Research Fellowship(2001)
(b) Memberships—American Society for Engineering Education,American Institute of Chemical Engineering,
American Chemical Society,American Geophysical Union,American Association of Aerosol Research, Air and
Waste Management Association,International Society of Exposure Analysis.
18
JUN WANG
Dr. Wang's current research focuses on the integration of satellite remote sensing and chemistry
transport model to characterize aerosols and fires from space, and to study air quality and aerosol-
cloud interaction in the context of climate change. Jun Wang was a recipient of NASA's Earth
System Science graduate fellowship and the New Investigator award. He has been a science team
member of six NASA's satellite missions (Glory, Suomi-NPP, TEMPO, Aura, DSCOVR, and
CLARREO), and is a science working group member and the co-lead of aerosol working group for
the NASA's GEO-CAPE mission. He has served various panels for NASA, NOAA, and DOE's
proposal review, and is one of the recipients for the NASA's group achievement award for TEMPO
in 2013 and for Suomi-NPP in 2014. He received"academic star"award from University of
Nebraska- Lincoln (UNL)for"taking the art of mentoring to new heights" in 2009 and Rosowski
(University) associate professorship in 2015 before he joins University of Iowa as a full professor in
2015. He has supervised and(through research grants) sponsored 13 graduate students, —18
undergraduate students, and 6 postdoctoral researchers.
Professional Preparation
Institution Major/Area of Study Degree Year
University of Alabama, Huntsville Atmospheric Science Ph.D. 2005
University of Alabama, Huntsville Atmospheric Science M.S. 2002
Institute of Atmospheric Physics, China Meso-scale Meteorology M.S. 1999
Nanjing Institute of Meteorology, China Atmospheric Dynamics B.S. 1996
Appointments/Work Experience
8/2016 —present Professor, Dept. of Chemical &Biochemical Engineering, Univ. of Iowa
8/2015-8/2016 Rosowski (university) Associate Professor;Dept. of EAS, UNL
8/2013 —8/2015 Associate Professor; Dept. of EAS, UNL
8/2007 -7/2013 Assistant Professor; Dept. of Earth &Atmospheric Sciences (EAS), UNL
July 2010 Visiting Faculty, Joint Center for Satellite Data Assimilation
Summer 2009 Visiting Faculty, National Center for Atmospheric Research
2008 Visiting Faculty; University of Maryland, Baltimore County
2005 - 2007 Postdoctoral Researcher;Harvard University
Selected Publications (from a total of—80, * graduate/postdocs with J. Wang)
1. Wang, J., C. Aegerter, X. Xu, and J. J. Szykman, Potential application of VIIRS Day/Night
Band for monitoring nighttime surface PM2.5 air quality from space,Atmospheric Environment,
124, 55-63, 2016.
2. Qu,W.,J.Wang,X.Zhang,L. Sheng,and W. Wang,Opposite seasonality of the aerosol optical
depth and the surface particulate matter concentration over the North China Plain, Atmos.
Environ., 127, 90-99, 2016.
3. Oikawa P.Y., C. Ge, J. Wang, J.R. Eberwein, L.L. Liang, L.A. Allsman, D.A. Grantz & G.D.
Jenerette, Unusually high soil nitrogen oxide emissions influence air quality in a high-
temperature agricultural region,Nature Communications, 6, 8753, 2015.
4. Yang, K., S. Cam, G. Cui*, J. Wang, and R. Dickerson, Advancing Measurements of
Tropospheric NO2 from Space: New Algorithm and First Global Results from OMPS,
Geophysical Research Letter, 41, 4777-4786, 2014
5. Ge, C.*, J. Wang, and J. S. Reid, Mesoscale modeling of smoke transport over the Southeast
Asian Maritime Continent: coupling of smoke direct radiative feedbacks below and above the
low-level clouds,Atmos. Chem. Phys., 14, 159-174, 2014.
19
Gregory R. Carmichael
Professional Preparation
Iowa State University Chemical Engineering B.S./1974
University of Kentucky Chemical Engineering M.S./1975
University of Kentucky Chemical Engineering Ph.D./1979
Appointments
1978-81 Assistant Professor-Chemical Engineering, University of Iowa
1981-85 Associate Professor-Chemical Engineering, University of Iowa
1985-present Professor-Chemical Engineering,University of Iowa
1981-1995 and 1998-2000
Chairman,Dept. of Chemical &Biochemical Engineering,University of Iowa
1991-present Co-Director, Center for Global&Regional Environmental Research, UI
2002-2015 Associate Dean for Graduate Studies and Research, College of Engineering, UI
2014-present Director,Iowa Informatics Initiative
SELECTED AWARDS AIChE Cecil Award for Excellence in Environmental Research 2012, Fellow
AIChE 2013, Group Achievement Awards (INTEX-A, 2005 &ARCTAS 2009).
Research Description and Selected Relevant Publications:
Gregory R. Carmichael is a leader in the development of chemical transport models at regional
scales. His research involves high performance computing, data mining, and advanced methods
for integrating measurements and models (i.e., data assimilation). He has over 340 journal
publications. He is an active instructor and advisor, having supervised 33 MS and 38 Ph.D.
students. He also is actively engaged in professional service. Recent examples include Chair
Scientific Steering Committee for WMO/CAS/GAW environmental programs and Chair of the
Scientific Advisory Group for the GAW Urban Meteorology and Environment Project(WMO).
Publications Illustrative
Ramanathan, V., G. Carmichael, Global and regional climate changes due to black carbon, Nature
Geoscience, 1, 221-227, 2008.
Campbell, J.E., G.R.Carmichael, T. Chai, et al., Photosynthetic control of atmospheric carbonyl sulfide
during the growing season,Science, 322(5904), 1085-1088, 2008.
Carmichael, G.R., A. Sandu, T. Chai, D.N. Daescu, E.M. Constantinescu, and Y. Tang, Predicting air
quality: Improvements through advanced methods to integrate models and measurements,J. Comput
Phys. 227(7), 3540-3571, doi:10.1016/j.jcp.2007.02.024, 2008.
Saide, P., Gregory R. Carmichael, Scott N. Spak, Patrick Minnis, and J. Kirk Ayers, Improving aerosol
distributions below clouds by assimilating satellite-retrieved cloud droplet number, PNAS, 109 , P.
11939-11943, 2012
Ramana, M., V Ramanathan, Y Feng, S-C Yoon, S-W Kim, G R Carmichael, and J J Schauer, Warming
influenced by black carbon to sulfate ratio and black carbon source, Nature Geoscience, 3; 542-545,
2010.
Saide,P.E., S.N. Spak,R.B. Pierce, J.A. Otkin, T. Schaack, A. Heidinger, A.M. da Silva,M.
Kacenelenbogen, J. Redemann, G.R. Carmichael, Central American Biomass Burning Smoke can
Increase Tornado Severity in the US, Geophysical Research Letters 42, 2015.
Saide,P.E., G.R. Carmichael,Z. Liu, C.S. Schwartz,H.C. Lin, A.M. da Silva, and E. Byer, Aerosol
Optical Depth ssimilation for a Size-Resolved Sectional Model: Impacts of Observationally
Constrained,Multi-Wavelength and Fine Mode Retrievals on Regional Scale Forecasts,Atmos.
Chem. Phys. 13,Issue: 20 Pages: 10425-10444, 2013.
Thesis Advisor/Post-Doc Advisor—Prof. Len Peters,Laboratory Director,Pacific Northwest Laboratory
20
Summary of Work Effort
Project Personnel total work effort is summarized by the table below.
Planned work funded by Planned work NOT
NASA funded by NASA
PI *Stanier, Charles 4.55% 0.00%
Co-I *Wang, Jun 4.55% 0.00%
Co-I *Carmichael, 2.27% 0.00%
Gregory
Other Professional GIS/Technical Staff 15.0%yr 1, 7.92%yr 2, 0.00%
3.33%yr 3
Students Graduate Student 100.00% 0.00%
Students Undergraduate 0.00% 12.50%
Student
Collaborator Lyapustin, Alexei 0.00% 1.25%
Collaborator Warner, Juying 0.00% 1.25%
Collaborator Corrigan,Mary Rose 0.00% 1.25%
* Effort based on 9-month appointment with an anticipated 2 additional months of summer
support.
21
Charles Stanier Current and Pending Support
Current
Title: CLEan Air in the River Valley through Environmental Education, Technology,
Partnerships, and PM(CLEAR4)
PI: Charles Stanier
Program and Sponsor Name: US EPA, Environmental Education Grant Program
Point of Contact: Kathleen Fenton, 913-551-7874; Fenton.Kathleen@epa.gov
Performance Period: 08/01/15-07/31/2017
Person-Months: .25/yr.
Title: Management of the NOAA Tall Tower CO2/CO Sampling System
PI: Charles Stanier
Program and Sponsor Name: NOAA, Earth System Research Laboratory, Global Monitoring
Division
Point of Contact: Cheryl Findley 303-497-6083; cheryl.findley@noaa.gov
Performance Period: 06/20/2014—08/31/2016
Person-Months: .10/yr.
Title: The Changing Aerosols in the Midwestern U.S. Advanced Tools to Relate Sources,
Composition, Climate, andLand Use
PI: Charles Stanier, Elizabeth Stone (co-PI's)
Program and Sponsor Name: Center for Global and Regional Environmental Research
Point of Contact: Jerald Schnoor, 319-335-5649;jerald-schnoor@uiowa.edu
Performance Period: 3/1/2016—8/31/2017
Person-Months: 0/yr.
Title: Widespread Photochemically-Produced Organosilicon Aerosol:Enabling Study of Their
Sources and Effects
PI: Charles Stanier
Program and Sponsor Name: Environmental Health Sciences Research Center, University of
Iowa
Point of Contact: Tom Peters, 319-335-4436; thomas-m-peters@uiowa.edu
Performance Period: 3/1/2015 —6/30/2016
Person-Months: 0/yr.
Pending
Title: Optimizing a WRF-CMAQ Modeling System for Ozone Forecasting, Ozone Reanalysis,
and Ozone Emission Sensitivity over the Great Lakes
P_I: Charles Stanier
Program and Sponsor Name: Electric Power Research Institute
Point of Contact: Eladio Knipping; 650-855-2000; eknipping@epri.com
Performance Period: 4/1/2016-03/31/2018
Person-Months: 1.0/yr
22
Jun Wang Current and Pending Support
NOTE: (1) support is listed as MONTH/YEAR, NOT FTE. (2) When J. Wang's research
commitment is more than 3 months, he can use grants to buy out of teaching obligations, and
thus have time to conduct research during the academic year.
Current support
Project title: Advancing Littoral Zone Aerosol Prediction via Holistic Studies in Regime-
Dependent Flows
Co-J: Jun Wang, (PI: Steve Miller, CSU)
Program Name: ONR MURI
Contact, Phone & Email: Daniel Eleuterio, daniel.eleuterioAnavv.mil, 703-696-4303
Performance Period: 11/2015-10/2020
Total Budget: —750K
Commitment by PI: 1.0 month/yr
Project title: Sensitivity analysis and recovery of dust emissions from spectral climate signals.
PI: Jun Wang
Program Name: NASA Atmospheric Composition Spectral Climate Signal
Contact, Phone & Email: Hal Maring, hal.maring@nasa.gov, 202-358-1679
Performance Period: 11/18/2014-11/17/2017
Total Budget: $539,721
Commitment by PI: 0.5 summer month/yr
Project title: GEOS-Chem adjoint inversion of aerosol source emissions with multi-sensor
datasets over east Asia
PI: Jun Wang
Program Name: NASA Atmospheric Composition and Analysis
Contact, Phone & Email: Richard Eckman, Richard.s.echmanAnasa.Rov. 202-358-2567
Performance Period: 7/15/2013-7/14/2016
Total Budget: $ 466,002
Commitment by PI: 0.5 summer month/yr
Project title: Evaluate and enhance Suomi NPP products for air quality and public health
applications
PI: Jun Wang
Program Name: NASA NPP program
Contact, Phone & Email: Paula Bontempi, paula.s.bontem i anasaRov, 202-358-1508
Performance Period: 11/18/2014-11/17/2017
Total Budget: $
Commitment by PI: 0.5 summer month/yr
Project title: Evaluate, enhance, and apply Aura products in public health tracking
Co-L Jun Wang (PI: Yang Liu, Emory University)
Program Name: NASA Aura Sciences Program
Contact, Phone & Email: Ken Jucks, kenneth.w.iucksAnasa.gov, 202-358-0476
23
Performance Period: 05/01/2014-06/30/2017
Total Budget: $247,212
Commitment by PI: 0.5 summer month/yr
Project title: Amplified study of the interactions and feedbacks between biomass burning and
water cycle dynamics across the northern sub-Saharan African region
Co-L Jun Wang (PI: Charles Ichoku, NASA GSFC)
Program Name: NASA Interdisciplinary Science program
Contact, Phone & Email: Hal Mating, hal.maring@nasa.gov, 202-358-1679
Performance Period: 07/01/2014-06/30/2017
Total Budget: $114,965
Commitment by PI: 0.25 summer month/yr
Project title: Sensitivities of biomass burning and land use change on the number of precipitation
days in the Maritime Continent
Co-L Jun Wang (PI: Charles Ichoku, NASA GSFC)
Program Name: NASA Radiation Sciences Program
Contact, Phone & Email: Hal Mating, hal.maring@nasa.gov, 202-358-1679
Performance Period: 04/01/2014-03/01/2017
Total Budget: $140,000
Commitment by PI: 0.25 summer month/yr
Project title: Tropospheric Emissions: Monitoring of Pollution
Co-L Jun Wang (PI: Kelly Chance, Harvard Smithsonian)
Program Name: NASA Earth Venture program
Contact, Phone & Email: Ken Jucks, kenneth.w.jucksAnasa.eov, 202-358-0476
Performance Period: 04/01/2013-09/30/2016
Total Budget: $62,138
Commitment by PI: 0.25 summer month/yr
Project title: A consistent dark-target aerosol data record, created from MODIS, VIIRS and
beyond
Co-L Jun Wang(PI: Robert Levy, NASA GSFC)
Program Name: NASA S-NPP science program
Contact, Phone & Email: Paula Bontempi, Paula.s.bontemplAnasa.Rov, 202-358-1508
Performance Period: 09/30/2015 —08/27/2017
Total Budget: $119,366
Commitment by PI: 0.25 summer month/yr
Pendine support
Project title: Management Opportunities to Reduce on-field losses and the life-cycle
environmental consequences of Accelerated Nitrogen Cycling in high temperature regions
Co-L Jun Wang(PI: Darrel Jenerette, UC-Riverside)
24
Program Name: NSF & USDA
Performance Period: 07/01/3016—06/30/2019
Total Budget: $102, 840
Commitment by PI: 0.25 summer month/yr
Project title: Multi-angle Imager for Aerosols
Co-L Jun Wang(PI: Dave Diner, JPL)
Program Name: NASA Earth Venture Instrument
Contact, Phone & Email: Ken Jucks, kenneth.w.iucksAnasa.gov, 202-358-0476
Performance Period: 07/2016-06/2026
Total Budget: —$1.2M
Commitment by PI: 1 month/yr
Project title: TOMCAT: Targeted Observational Monitoring of Cloud and Aerosol Transport
Co-L Jun Wang(PI:Matthew McGill, GSFC)
Program Name: NASA Earth Venture Mission
Contact, Phone & Email: Ken Jucks, kenneth.w.iucksAnasa.gov, 202-358-0476
Performance Period: 07/2016-06/2026
Total Budget: $871,637
Commitment by PI: 1 month/yr
2016-2026 Co-I _$99M NASA Earth Venture program, "Multi-angle Imager for
Aerosols", PI: Dave Diner, NASA Jet Propulsion
Laboratory. JW: $ 1,267,840
2016-2022 Co-I —$50M NASA Earth Venture program, "TOMCAT: Targeted
Observational Monitoring of Cloud and Aerosol Transport
", PI: McGill, Matthew, NASA Goddard Space Flight
Center. JW: $ 871,637.
25
Gregory Carmichael Current and Pending Support
Current
Title: ObseRvations of Aerosols above Clouds and their IntEractionS (ORACLES)
PI: Greg Carmichael
Program and Sponsor Name: NASA Research Opportunities in Space and Earth Science
(ROSES-2013)
Point of Contact: Bernadette Luna, Technical Officer; 650-604-5250;
Bemadette.lunaAnasa.gov
Performance Period: 2/20/15-2/19/20
Person-Months: .25/yr.
Title: Improving Air Quality Analysis Through a Closer Integration of Observations and Models
PI: Greg Carmichael
Program and Sponsor Name: NRA/NASA Research Opportunities in Space and Earth Science-
2009
Point of Contact: John Haynes, Technical Officer. 202-358-4665; ihaynesAnasa.gov
Performance Period: 5/12/11-5/11/16
Person-Months: .10/yr.
Title: Regional Scale Modeling in Support ofKORUS-AQ: Improving Predictions of Dynamic
Air Quality Using Aircraft, Ground Networks, and Satellite Data
PI: Greg Carmichael
Program and Sponsor Name: NASA, An International Cooperative Air Quality Field Study in
Korea
Point of Contact: Barry Lefer, Technical Officer; 202-358-3857; Barry.lefer@nasa.gov
Performance Period: 10/1/15-9/30/18
Person-Months: 1.0/yr.
Pending
Title: NRT-DESE: Data Enabled Education and Problem Solving through Concept Integration
(DEEPSCI): A network science approach to Transdisciplinary Science
PI: David Bennett
Program and Sponsor Name: NSF Research Traineeship Program
Point of Contact: Claire Hemingway, 703-292-7135; nrt@nsf.gov
Performance Period: 1/1/2017-12/31/2021
Person-Months: 0/yr.
Title: Improving emissions, predictions and impact assessments of biomass burning smoke and
dynamic air quality using FIRER observations, ground networks and satellite data
PI: Daven Henze
Program and Sponsor Name: NOAA Climate Program Office
Point of Contact: Pending
Performance Period: 7/1/16-6/30/20
Person-Months: .50/yr.
26
Dubuque City Manager's Office
THE CITY OF City Ha➢
50 West 13th Street
DU
T�
All-AmedcaCity
Dubuque,c (563)589-4110 52001-4805
v I Office(563)589-4110
Fax(563)589-4149
mastel-piecc Oil the Mississippi TTY(563)690-6678
2007-2012-2013 ctvmgr@citpofdubuque.org
www.cityofdubuque.org
March 8, 2016
Mr. John Haynes
Applied Sciences Program
Earth Science Division
Science Mission Directorate
NASA Headquarters
Washington, DC 20546-0001
SUBJECT: Proposal from the University of Iowa to the NASA Health and Air Quality
Applied Sciences Team (H-AQAST)
Dear Mr. Haynes,
Charles Stanier at the University of Iowa is submitting, in collaboration with Greg
Carmichael and Jun Wang, a proposal "H-AQAST membership: Retrieval, processing,
data assimilation, and formatting of satellite remote sensed data for health users."
Dr. Stanier has worked with the City of Dubuque on Air Quality Outreach and Education
through our shared EPA Environmental Education Grant. The City's Public Health
Specialist, Mary Rose Corrigan, has worked with Dr. Stainer on Community Air Quality
Education and City of Dubuque is glad to see NASA moving towards applied science to
improve health outcomes.
I
Mary Rose Corrigan holds a BSN and MSN in Nursing Education and has been
managing the City's Health Services Department since 1989. She has been involved in
the delivery of many public health programs and services, including federally funded
grant-based projects (e.g. HUD). Mary Rose works extensively with local, state and
federal partners on public health policy and programs, including health promotion and
disease prevention, environmental health and community emergency preparedness
education and planning, conducting periodic community health needs assessments.
Dr. Charles Stainer plans to incorporate H-AQAST air quality information into the
ongoing education and outreach of the CLE4R project, and has discussed the most
effective applied air quality products for public health officials, such as Mary Rose, and
27
Service People Integrity Responsibility Innovation Teamwork
Mr. John Haynes
March 8, 2016
Page 2
venues to promote them and get the word out. I am particularly supportive of his efforts
to make a comprehensive toolkit for states and counties to use in completing the air
quality portion of their community health needs assessments.
If the Iowa proposal is selected for the H-AQAST, the City of Dubuque agrees to
continue to informally advise Dr. Charles Stainer to maximize his outreach and
dissemination efforts to the local and state public health community.
Sincerely,
Michael C. Van Milligen
City Manager
MCVM:mrc
28
\ - Environmental Health Sciences Research Center
The University of Iowa,College of Public Health
-__- CPHB,Suite 5300, 145 N.Riverside Dr.
Iowa City,IA 52242
7 March 2016
Charles O. Stanier
Associate Professor of Chemical and Biochemical Engineering
Associate Research Engineer IIHR Hydroscience and Engineering
University of Iowa
Re: NASA Health and Air Quality Applied Sciences Team (H-AQAST) Proposal
Dear Dr. Stanier:
I was very pleased to discuss with you and read the draft of your proposal entitled, "H-AQAST
membership: Retrieval, processing, data assimilation, and formatting of satellite remote sensed
data for health users." I have enjoyed my prior work with you and Dr. Carmichael on issues of
air pollution measurement and modeling and have been extremely impressed with your
accomplishments on high-resolution PM2.5 modeling. This work is synergistic with the work of
our NIEHS-funded Environmental Health Sciences Research Center (EHSRC) and I see great
opportunities to collaborate on community engagement and dissemination of this work to the
public, an important objective of this H-AQAST and the EHSRC.
The EHSRC is focused on doing state-of-the-art research in environmental health sciences and
communicating it to the public to advance health. It has as a major component, the Community
Outreach and Engagement Core (COEC) directed by Dr. Edith Parker, Head of the Department
of Community and Behavioral Health in the College of Public Health. The EHSRC COEC has
been in existence for 26 years and engages in bi-directional communication to inform our
research and to translate discoveries and innovation in environmental health sciences to
communities, policy makers, concerned citizen groups and regulatory bodies.
We are pleased to work with your team to assist in disseminating H-AQAST air quality products,
including high resolution fields of PM2.5 and other pollutants, to public health practitioners in the
central U.S. Furthermore, our COEC can provide focus groups to assess web-based toolkits
packaging H-AQAST products and other air quality information prior to dissemination. These
tools would help our Midwest communities prepare community health needs assessments and
conduct land use planning and permitting. They would serve to empower our"citizen scientists."
I would be happy to lead the effort within the EHSRC for your H-AQAST project to advise you
on efficient and effective avenues for dissemination. Further, I am pleased to serve as a
collaborator for this proposal. Please let me know if I can be of further help to your project.
Sincerely,
Peter S. Thorne, MS, PhD
Professor and Head, Department of Occupational & Environmental Health
Director, Environmental Health Sciences Research Center
TEL:(319)335-4216 FAX: (319)384-4138 EMAIL:peter-thorne@uiowa.edu WEB:www.ehsrc.org
29
Budget Narrative and Budget Details-University of Iowa
Proposed 3-year Budget
Year 1 Year 2 Year 3 TOTAL
Salaries and Wa es Total Total Total
rate months
Stanier $11,750 0.5 $5,875 $6,051 $6,233 $18,159
Carmichael $30,032 0.25 $7,508 $7,733 $7,965 $23,206
Wang, Jun $12,222 0.5 $6,111 $6,294 $6,483 $18,888
Graduate Student $2,280 12 $27,360 $28,181 $29,026 $84,567
GIS Professional Staff $3,500 1.8/.95/.4 $6,300 $3,425 $1,485 $11,210
Frin e Benefits FY17 FY18 FY19
Stanier 29.10% 29.90% 30.10% $1,710 $1,809 $1,876 $5,395
Carmichael 29.10% 29.90% 30.10% $2,185 $2,312 $2,397 $6,894
Wang, Jun 29.10% 29.90% 30.10% $1,778 $1,882 $1,951 $5,611
PhD Student 19.00% 21.00% 22.00% $5,198 $5,918 $6,386 $17,502
GIS Professional Staff 36.27% 37.40% 38.10% $2,285 $1,281 $566 $4,132
Publications $1,200 $2,400 $2,400 $60000
Domestic Travel $8,400 $8,400 $8,400 $25,200
Modified Total Direct cost $75,910 $75,686 $75,168 $226,764
Graduate Student Tuition $9,078 $9,532 $10,008 $28,618
Facilities and Administration $39,853 $39,735 $39,463 $119,051
Total Cost $124,841 1 $124,953 1 $124,639 1 $374,433
Most of the anticipated grant expenditures are exact or very close estimates as outlined below.
We anticipate using the grant award instrument for receipt of funds.
Personnel expenses are based on current salaries, known or projected fringe benefit rates, and an
anticipated 3% increase in salaries each year over the prior year based on prior experience.
Faculty rates in the table above reflect the anticipated year one monthly rate based on an
anticipated 3% increase over their current salary for Stanier and Carmichael and the actual rate
for Wang, who starts a new position at U of Iowa in FY17. PI Charles Stanier will provide
overall project management, vision, and direction. All three funded personnel (Stanier, Wang,
and Carmichael)will have responsibility for their respective components of the project
implementation and overseeing the work of the student.
One graduate student will work on this project at 100% effort on fiscal year appointments at 20
hours/week.
One GIS developer/professional staff will assist the faculty members and graduate student from
the Iowa H-AQAST team in selection and configuration of the GIS-enabled visualization tools,
and in the design of the user interface. The institutes that the faculty are involved with (Center
for Global and Regional Environmental Research; IIHR Hydroscience and Engineering; Iowa
Informatics Initiative)have a strong track record in this area and modification of existing
software and user interfaces to meet the H-AQAST needs is anticipated.
30
Pro'ect personnel exact paid work effort summarized b the table below.
Period 1 Period 2 Period 3
0.5 0.5 0.5
PI Stanier months 4.55% months 4.55% months 4.55%
0.5 0.5 0.5
Co-I Wang months 4.55% months 4.55% months 4.55%
0.25 0.25 0.25
Co-I Carmichael months 2.23% months 2.23% months 2.23%
12.0 12.0 12.0
Student Graduate Student month 100% months 100% months 100%
Other GIS Professional 1.8 0.95 0.4
Professional Staff months 15% months 7.92% months 3.33%
University of Iowa Fringe Benefits rates are approved by the DHHS auditor. Rates for FY17,
reflected in the budget table above, are current and exact. Rates for FY18 - FY19, reflected in
the budget table, are projected rates. For more information about the University of Iowa fringe
benefits rates, go to:
htty://afr.fo.uiowa.edu/fringe-benefit-accountine/currentyrojected-fringe-benefit-rates
Domestic Travel budget is based on past experience and actual or projected allowable per diem
rates. Travel funds include funds for project personnel to participate in two H-AQAST meetings
each year in Washington DC area at$1500/person/trip (Example meeting budget: $600 for
Airfare; 3 nights lodging at$208/night: $624; meals for 4 days at $69/day: $276).
Domestic travel funds also include two conference trips per Year at$2,000/person trip for
dissemination of project results. (Example conference travel budget: Airfare (with luggage) and
ground transportation (taxi): $750; Lodging: 4 nights at $125/night= $500; Meals: 5 days at
$50/day= $250; Registration: $500
Domestic travel includes two annual communitv end-user meetings. (Example trip budget for
meetings within driving distance ($400): $150 mileage; $150 lodging; and $100 meals.
Example trip budget for meetings further away ($1000): $650 for air and ground transportation;
$250 for lodging; $100 for meals)
Publications funds include funds for one publication in year one at $1200/publication, and two
publications in project years two and three at the same rate for dissemination of project results.
These funds will cover pagination feels and professional rendering of illustrations.
Tuition is requested for the graduate student as required by U of Iowa graduate student union
contract. We also request 25% of the assessed course fees as also required by graduate student
union contract. Rates are projected based on current exact tuition rates and a projected increase
of 5% each year over the prior year based on past experience.
Indirect costs are exact. University of Iowa on-campus F&A rate (52.5%) is approved by the
DHHS auditor and is calculated using the Modified Total Direct Costs (MTDC) as its base. The
MTDC excludes tuition.
DHHS Representative: Theodore Foster (214) 767-3261
1301 Young St, Room 732, Dallas, TX 75202
31
Other Budget Details
Project Period 1: July 1,2016 to June 30, 2017
Direct Labor and Fringe Benefits
Salary Request Fringe% Fringe Total
*PI Stanier $105,750 $5,875 29.1% $1,710 $7,585
*Co-I Wan $110,000 $6,111 29.1% $1778 $7,889
*Co-I Carmichael $270,288 $7,508 29.1% $2,185 $9,693
Graduate Student $27,360 $27,360 19.0% $5,198 $32,558
GIS Professional $42,000 $6,300 36.27% $2,285 $8,585
TOTAL $66,310
*Rates based a 9-month academic year appointment
Indirect Rate Calculations
Indirect base includes salaries &fringe benefits, publications, and travel
$66,310 + $1,200 + $8,400 = $75,910
Indirect rate is 52.5%
Total Indirect: $75,910 * 0.525 = $39,853
Project Period 2: Julyl,2017 to June 30, 2018
Direct Labor and Fringe Benefits
Salary Request Fringe% Fringe Total
PI Stanier $108,923 $6,051 29.9% $1,809 $7,860
Co-I Wan $113,300 $6,294 29.9% $1,882 $8,176
Co-I Carmichael $278,397 $7,733 29.9% $2,312 $10,045
Graduate Student $28,181 $28,181 21.0% $5,918 $34,099
GIS Professional $43,260 $3,425 37.40% $1,281 $4,706
TOTAL $64,886
Indirect Rate Calculations
Indirect base includes salaries &fringe benefits, publications, and travel
$64,886 + $2400 + $8400 = $75,686
Indirect rate is 52.5%
Total Indirect: $75,686 * 0.525 = $39,735
Project Period 3: July 1,2018 to June 30, 2019
Direct Labor and Fringe Benefits
Salary Request Fringe% Fringe Total
PI Stanier $112,190 $6,233 30.1% $1,876 $8,109
Co-I Wan $116,699 $6,483 30.1% $1,951 $8,434
Co-I Carmichael $286,749 $7,965 30.1% $2,397 $10,362
Graduate Student $29,026 $29,026 22.0% $6,386 $35,412
GIS Professional $44,558 $1,485 38.1% $566 $2,051
TOTAL $64,368
Indirect Rate Calculations
Indirect base includes salaries &fringe benefits, publications, and travel
$64,368 + $2400 + $8400 = $75,168
Indirect rate is 52.5%
Total Indirect: $75,168 * 0.525 = $39,463
32