1. NASA Applied Remote Sensing Training Program (ARSET) Dr. Ana. I. Prados Joint Center for Earth Systems Technology (JCET) University of Maryland Baltimore County NASA GSFC Code 614, Atmospheric Chemistry and Dynamics Laboratory NASA AQAST Meeting, June 13-15, 2012

2. Applied Sciences: Capacity Building NASA sponsored activities and resources that build capability and skills to utilize NASA data for policy and environmental management in both the public and private sectors

3. NASA Applied Sciences: Capacity Building Programs SERVIR DEVELOP Gulf of Mexico Initiative Applied Remote Sensing Training

4. GOAL : Increase utilization of NASA observational and model data for decision-support Applied Remote Sensing Training (ARSET) Objectives: Provide end-user communities and institutions with professional hands-on technical workshops Build long term partnerships with end-user communities and institutions in the public and private sectors ARSET DEVELOP SERVIR GOMI NASA Applied Sciences PIs NASA Applied Research NASA Data Centers ARSET disseminates the usage of existing NASA data, web tools, Decision Support Systems and applied research, in addition to collaborating with other capacity building programs within NASA

5. Health (Air Quality) (AQ) http://airquality.gsfc.nasa.gov/ http://airquality.gsfc.nasa.gov/ 2008 – present 25 Trainings +500 end-users Water Resources and Disasters http://water.gsfc.nasa.gov/ http://water.gsfc.nasa.gov/ April 2011 – present Ecological Forecasting Est. 2013 Other Health and Disasters Applicatio n Areas Est. 2014 ARSET Timeline Air Quality 2008 2009 ARSET Web Page Outreach AQ Modeling Fall 2009 Winter 2010 AQ Industry West Coast AQ Fall 2010 Fall 2011 First Online AQ/Healt h Fall 2011 Water/ Disaster Snow/E T 2012 2013 Ecological Forecast. Water (other) Health/ Disasters (other) 2014

6. Project Lead Dr. Ana Prados (GSFC/UMBC) Project Lead Dr. Ana Prados (GSFC/UMBC) Air Quality Pawan Gupta (GSFC/GESTAR) Richard Kleidman (GSFC/SSAI) Yang Liu (Emory University) Jacquie Witte (GSFC/SSAI) Water & Disasters Amita Mehta (GSFC/UMBC) Tom Painter and Chris Mattmann (JPL/Caltech) Cindy Schmidt (AMES/Baeri) Air Quality Pawan Gupta (GSFC/GESTAR) Richard Kleidman (GSFC/SSAI) Yang Liu (Emory University) Jacquie Witte (GSFC/SSAI) Water & Disasters Amita Mehta (GSFC/UMBC) Tom Painter and Chris Mattmann (JPL/Caltech) Cindy Schmidt (AMES/Baeri) Other Support Marines Martins (GSFC/SSAI) Annelise Carleton-Hug (Trillium A./Evaluation) Students Maria Stenborg (UMCP) Alison Hoy (UMCP) Other Support Marines Martins (GSFC/SSAI) Annelise Carleton-Hug (Trillium A./Evaluation) Students Maria Stenborg (UMCP) Alison Hoy (UMCP) ARSET Team Members

7. ARSET Trainings at a Glance Trainings have also been conducted in Costa Rica, Colombia, Canada, Italy, Australia, Singapore, and Vietnam Number of NASA online or hands-on trainings per state.

8. ARSET Trainings at a Glance: International         Trainings have also been conducted in Costa Rica, Colombia, Canada, Italy, Australia, Singapore, and Vietnam and at the World Bank (Washington D.C)

9. ARSET Trainings by Societal Benefit Area 2009 – March 2013

10. ARSET Program Logic Model

14. Different language, expectations, and sometimes technical capacity On Different Sides of the Fence NASA Earth Science Decision Support ARSETARSET

15.  Knowledge gaps Cost: Not aware that NASA data are free Data Access: Not aware of resources available for easy access(e.g. web to order data) Benefits: Not aware of potential applications of NASA data to environmental management activities  Lack of institutional capacity: Prioritization, lack of man-power and needed technical expertise Barriers to NASA Data Utilization Question 1

16. ARSET Best Practices 1. Trainers first: Skill building for NASA Scientists 2. Leveraging of multiple NASA resources - Applied Sciences Program PIs and applied research - NASA Data Centers - Other Capacity Building Programs 3. Gradual learning approach - ABCs of NASA Data: What and what for ? - Access and analysis - Application to decision-support 4. Heavily focused hands-on learning 5. Continued/ongoing interaction with end-users 6. Workshop Surveys 7. Ongoing Project Evaluation Plan

17. Basic Training: Individuals and institutions new to remote sensing Trainings at professional conferences Online Training (WebEx) Overview of products to prepare for advanced training Advanced Trainings Focused on a specific application/problem: for example impact of snow melt in California on stream flow Requires Base of WebEx training Gradual Learning Approach ARSET Applied Sciences Workshops

18. Public Sector: U.S EPA, USDA, BLM, NOAA, regional, state, county agencies, Tribal Nations, water resources managers, watershed and reservoir managers Private Sector: Industry, agricultural sector, NGOs Attendees at Professional Conferences Participants of NASA Campaigns End-User Feedback: Positive reviews from ‘Training customer satisfaction surveys’. Continued requests for follow-up trainings : California Air Resources Board, LADCO Increase in number of end-users trained per year since 2008 Students Becoming Teachers as trainers ! NASA Training for California Air Resources Board, Sacramento, CA December 2011 Seeking to better engage the NGO community, industry and Tribal Nations in 2012+ Who is ARSET Training ?

19. ARSET Training for Lake Michigan Air Directors Consortium (LADCO) NASA training in progress at the University of Wisconsin Madison facility. The course had 20 attendees from the Lake Michigan Air Directors Consortium (LADCO), Minnesota Pollution Control Agency, Michigan Department of Environmental Quality (DEQ), Wisconsin Department of Natural Resources, Idaho DEQ, Oklahoma DEQ, Indiana Department of Environmental Management, US Environmental Protection Agency (EPA) Region 5, Michigan Tech Research Institute and Environment Canada. End-user feedback from a NASA air quality online course held in February 2012 was used to tailor this training event to mid-western environmental management issues and to refine the agenda to focus on 1) less NASA products in greater detail and 2) inter-comparisons between NASA data and air quality model output. A three day in-person training on the use of NASA satellite data for air quality applications reached 20 attendees from federal agencies in the U.S and Canada and 6 state agencies in the U the mid western and central Co-sponsored by the NASA Applied Sciences Program and the Lake Michigan Air Directors Consortium (LADCO) Attendees learned how to apply NASA satellite data, imagery and web tools to air quality management problems in their region. Collaboration between LADCO member states and AQAST: AQAST presentations held during the training. The workshop built basic skills on image access and interpretation. Participants prepared and presented air quality case studies of their choosing and provided feedback to NASA instructors on the utility of NASA resources.

20. Publicly available Modules Case Studies http://airquality.gsfc.nasa.gov/ Upcoming trainings

21. Identify Host Institution End-user Needs Assessment Identify Host Institution End-user Needs Assessment Adapt training modules Conduct Training : Online Presentations Hands-on activities Case Studies Conduct Training : Online Presentations Hands-on activities Case Studies Project Evaluation: Surveys and Feedback Advertise via list-serv and Webpage Collaborate with NASA Applied Science PIs Collaborate with NASA Data Centers Work with Advisory Group Attend professional conferences Advertise via list-serv and Webpage Collaborate with NASA Applied Science PIs Collaborate with NASA Data Centers Work with Advisory Group Attend professional conferences ARSET Training Workshop Lifecycle

22. Objectives : Provide the NASA Applied Sciences Program with ongoing feedback on: 1) ARSET project impact on end-user decision-making activities and changes in data utilization 2) End-user needs and barriers to utilization of NASA resources (in conjunction with parallel NASA AQAST project- Bryan Duncan/Ana Prados). 3) Type of environmental management activities where NASA resources are being integrated NASA Remote Sensing Training Program Evaluation Question 7 & 10

23. ARSET/AQAST Collaborations ARSET can bring help you (AQAST PIs) disseminate applied research results and methodologies. Get involved in the planning of future ARSET trainings Other ideas ?

24. Creating an Objective “AQAST Recommendations for Air Quality Satellite Missions” Document for NASA Mission Planners Bryan Duncan, PI NASA GSFC Code 614, Atmospheric Chemistry and Dynamics Laboratory Ana. I. Prados, co-I Joint Center for Earth Systems Technology (JCET) University of Maryland Baltimore County and NASA GSFC Code 614, Atmospheric Chemistry and Dynamics Laboratory AQAST Tiger Team Project (Duncan)

25. Tiger Team Project Overview Long Term Objective Inform a NASA AQAST mission recommendations document by leveraging ARSET end-user interactions and program evaluation surveys

26. Identify Host Institution End-user Needs Assessment Identify Host Institution End-user Needs Assessment Adapt training modules Conduct Training : Online Presentations Hands-on activities Case Studies Conduct Training : Online Presentations Hands-on activities Case Studies Project Evaluation: Surveys and Feedback Advertise via list-serv and Webpage Collaborate with NASA Applied Science PIs Collaborate with NASA Data Centers Work with Advisory Group Attend professional conferences Advertise via list-serv and Webpage Collaborate with NASA Applied Science PIs Collaborate with NASA Data Centers Work with Advisory Group Attend professional conferences ARSET Training Workshop Lifecycle Tiger Team: Missions Recommendations Document NASA PI Surveys

27. ARSET Program Logic Model

28. Tiger Team Project Overview Short Term Objectives Identify Data Needs: What do end-users see as their most pressing near-immediate data needs for:  regulatory activities  health applications  other policy formulation NOx, ozone or PM2.5 monitoring, better emissions inventories, model evaluation ? Identify Barriers to Data Utilization: why are NASA resources not being used or why weren’t they used in the recent past (prior to ARSET or another intervention)  Possible barriers Lack of knowledge of data availability Problems with data access data Lack of suitability of data for applications Institutional/organizational barriers that inhibit use of NASA data  Recommendations for overcoming noted barriers

29. Methodology and Timeline 1) Establish end-user parameters (Summer 2012): Defining the population sample (include ARSET advisory group members).  Federal/state/local/Tribal  Private sector (for profit)  NGOs 2) Identify +8 key informants (Summer 2012) (OMB restriction)  Both end users who ARE and who ARE NOT using NASA resources  Interviews with informants will be conducted by ARSET external evaluator Annelise Carleton-Hug  Interview responses will be used to inform subsequent online survey questions for ARSET and Tiger Team project 3) Prepare interview guide and conduct interviews (Summer 2012) Both end-users and NASA scientists 4) Provide interim report to AQAST (Fall 2012).

30. Methodology and Timeline 5) Develop online survey (Fall 2012) 6) Survey +500 ARSET attendees after OMB approval (Winter 2013) 7) Final report to AQAST (Winter/Spring 2013).

31. Methodology: Sample End-users Questions Conducted by external evaluator Are there critical data missing? Describe the kind of data you would like to have available that would help you do your job more efficiently and effectively. Now let’s focus on your experience with the NASA data products. Can you describe for me how you (or others in your office/agency) are currently using NASA data products? [for interviewees who are not using NASA data ] If you’re not currently using NASA data, please explain the reasons for not using the data. We are very interested in learning about the barriers or challenges that prevent you from using the data, so please be specific. Do some AQ professionals consider that the NASA data is not suitable for their applications? Can you explain in what ways the data might not be suitable? What are some suggestions to improve the suitability of the data?

32. Interview key NASA civil servants** involved with satellite data product development and mission planning (e.g. Aura, Earth Venture). ***No OMB limit for civil servants !!! **** Potential questions: 1) What are the key challenges in using satellite data for AQ applications? 2) What are the barriers/impediments to utilization of NASA data products among AQ applications end-users ? 3) Are the current planned missions (NASA, ESA, or other) adequate for meeting the needs of the AQ applications end-users ? Methodology: Sample Scientist Questions Conducted by Bryan Duncan and Ana Prados

33. ARSET or Questions ?

34. Collaboration with other Tiger Teams DISCUSSION ?

35. Back up slides

36. 3) Utilization of image analysis tools 1)Access to NASA imagery 2)Access to other data: model, in-situ, etc. 4) Assessment: Precipitation propagation and its geographical impacts. Case Studies and Hands-On Activities Exercises with Step-by-Step Instructions Question 1: scientific/tec hnological & question 3

37. GEOSS Hydrological and Space network of Information for Latin American and the Caribbean (CIEHLYC) ) Representatives from South and Central America and the Caribbean. Colombian Floods in May 2011 : TRMM rain rate, AIRS clouds, MERA winds. Climate variability and El Niño/Niña over south America : TRMM rain rate, AIRS Sea Surface Temperature (SST). Access to snow cover imagery in Chile and Argentina from MODIS and MERRA (model). Cartagena, Colombia Water Training November 28-29, 2011