Removes data gaps that are present in current LEO products.

Slides:



Advertisements
Similar presentations
Future Directions and Initiatives in the Use of Remote Sensing for Water Quality.
Advertisements

Virtual Institute of Energy Meteorology Earth Observations and Energy Management Expert Meeting August 2006 M. Schroedter-Homscheidt German Aerospace.
Improving the View of Air Quality from Space Jim Crawford Science Directorate NASA Langley.
Breakout Sessions Thursday 4:30-5:30 PM Friday 9:00-10:30 AM *Note: Plenary begins again at 8:15 AM.
NOAA’s Climate Data Records (CDRs) Walter Glance (CDR Program Manger) & Tom Zhao (CDR Program Scientist)
HyDis: Hydrologic Data and Information System Prof. Sudha Ram Dongwon Lee Yousab Hwang Vijay Khatri Department of Management Information Systems Sponsor:
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California Observing System Simulation.
CLARIS WP4.3 : Continental-scale air Pollution in South America.
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Detection of anthropogenic formaldehyde over North America by oversampling of OMI data: Implications for TEMPO Lei Zhu and Daniel J. Jacob.
Surface-Atmosphere Fluxes Part II Christine Wiedinmyer
Air Pollution Control: Transboundary Air Pollutants
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
15-18 October 2002 Greenville, North Carolina Global Terrestrial Observing System GTOS Jeff Tschirley Programme director.
Three Dimensional Air Quality System (3D-AQS) Air Quality Data Summit U.S. EPA, Research Triangle Park, NC February 12, 2008 Jill Engel-Cox Battelle Memorial.
Air Quality Applications of NOAA Operational Satellite Data S. Kondragunta NOAA/NESDIS Center for Satellite Applications and Research.
ATMOSPHERIC CHEMISTRY APPLICATIONS WORKSHOP January 2004, ESTEC Albert P H Goede Objective of the Workshop User Consultation on present and future.
Research Progress Discussions of Coordinated Emissions Research Suggestions to Guide this Initiative Focus on research emission inventories Do not interfere.
A)How is satellite imagery currently used in air quality research and management? a) who are the data users b) what data is used c) how is the data used.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Infrared Temperature and.
2012 CMAS meeting Yunsoo Choi, Assistant Professor Department of Earth and Atmospheric Sciences, University of Houston NOAA Air quality forecasting and.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Pawan Gupta Satellite.
Use of space-based tropospheric NO 2 observations in regional air quality modeling Robert W. Pinder 1, Sergey L. Napelenok 1, Alice B. Gilliland 1, Randall.
USDA - NASA Workshop Air Quality Focus Area March 4-5, 2003.
2002 – 2005: The Program worked with many federal agencies. In most cases, the Program worked with people that were either: a) early adopters of technology;
Opening Remarks Joanna Joiner NASA. Aura senior review Every 2 years, NASA reviews all operating missions for extension Aura Project Science Office tasked.
GlobEmission (ITT 6721) new ESA contract starting on Oct. 11 KNMI/BIRA/FMI/TNO/VITO.
Some Applications of Satellite Remote Sensing for Air Quality: Implications for a Geostationary Constellation Randall Martin, Dalhousie and Harvard-Smithsonian.
AQ Emissions Data Considerations and Needs Greg Frost NOAA, University of Colorado Two key kinds of AQ data on chemical species: Emissions and Ambient.
Breakout Session 1 Air Quality Jack Fishman, Randy Kawa August 18.
The GAINS optimization approach – Basic background information Fabian Wagner International Institute for Applied Systems Analysis (IIASA) IIASA workshop.
Application of NASA ESE Data and Tools to Particulate Air Quality Management A proposal to NASA Earth Science REASoN Solicitation CAN-02-OES-01 REASoN:
GlobEmission (ITT 6721) new ESA contract starting on Oct. 11 KNMI/BIRA/FMI/TNO/VITO.
Fire, Smoke & Air Quality: Tools for Data Exploration & Analysis : Data Sharing/Processing Infrastructure This project integrates.
Global Air Pollution Inferred from Satellite Remote Sensing Randall Martin, Dalhousie and Harvard-Smithsonian with contributions from Aaron van Donkelaar,
Research Progress Discussions of Coordinated Emissions Research Suggestions to Guide this Initiative Focus on research emission inventories Do not interfere.
CAPACITY User Requirements by Albert P H Goede 7 April 2004, KNMI Objective of Work Package 1000 Definition of User Requirements for Operational Monitoring.
Tim Watkins Deputy Director National Exposure Research Laboratory Office of Research and Development Opportunities for TEMPO to Enhance Air Quality Management.
Sandro Fuzzi National Research Council Bologna, Italy
Xiaomeng Jin and Arlene Fiore
Yuqiang Zhang1, Owen R, Cooper2,3, J. Jason West1
Jeff Vukovich, USEPA/OAQPS/AQAD Emissions Inventory and Analysis Group
Air Quality, Public Health, and Potential TEMPO Applications
General Comments First time a suite of ozone pre-cursors, ozone, PM2.5 will be measured on hourly time scale.  Lends itself to investigating photochemical.
SMOKE-MOVES Processing
Use of Near-Real-Time Data for the Global System
Use of Satellite Data for Georgia’s Air Quality Planning Activities Tao Zeng and James Boylan Georgia EPD – Air Protection Branch TEMPO Applications.
Report on “what are the emerging research needs for CAMS”
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.
GEO-CAPE Atmosphere SWG activities
Initial thoughts on the benefits of TEMPO data for AQ management
How Can TEMPO Contribute to Air Pollution Health Effects Research
Innovations in projecting emissions for air quality modeling
INTERCONTINENTAL TRANSPORT EXPERIMENT – NORTH AMERICA (INTEX-NA)
Randall Martin Aaron Van Donkelaar Daniel Jacob Dorian Abbot
TEMPO Validation Activities: Context, Methods, and Tools
Technical discussions on Emissions and Atmospheric Modeling (TEAM)
A Discussion on TEMPO Draft CH2O Validation Plan
Satellite Remote Sensing of Ozone-NOx-VOC Sensitivity
Space-based Diagnosis of Surface Ozone Sensitivity to Anthropogenic Emissions Randall Martin Aaron Van Donkelaar Arlene Fiore.
FOUR MAJOR RESEARCH CHALLENGES FOR THE SECOND DECADE OF THE USGCRP
Climate change legal and policy frameworks
Detection of anthropogenic formaldehyde over North America by oversampling of OMI data: Implications for TEMPO Lei Zhu and Daniel J. Jacob.
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.
Charlotte-Rock Hill-Gastonia MSA Summertime Ozone Formation
2019 TEMPO Science Team Meeting
Planning for TEMPO data access via U.S. EPA Remote Sensing Gateway
Summary: TFMM trends analysis
Use of Satellite Remote Sensing Data to Support Air Quality Decision-making July 26, 2018 Thank you, Mr. Corey. Good afternoon Chair Nichols and members.
Updating a Fuel-based Inventory of Vehicle Emissions
Presentation transcript:

EMISSIONS Breakout Report 1st TEMPO Applications Workshop Huntsville, AL

Removes data gaps that are present in current LEO products. Question 1: TEMPO will provide first of its kind temporal (1 hourly) and spatial (2-km pixel width in north-south; 4.5-km pixel length in east-west) resolution with limited data latencies allowing for the community to continue existing applications and facilitate new ones. What are the discipline or focus area science questions or application challenges that can be addressed with TEMPO data? Near real-time emissions observations of NOx and aerosols and indirect constraints on primary VOCs (formaldehyde, glyoxal). Top down constraints on temporal and spatial allocations for specific emissions sectors. Using TEMPO as a vehicle for establishing a more effective communication between end-users (e.g. inventory developers) and top down analysis Removes data gaps that are present in current LEO products.

Question 2: There are a number of current in situ and remotely sensed data that measure atmospheric constituents, such as tropospheric ozone (O3), nitrogen dioxide (NO2), aerosols, and other trace pollutants (formaldehyde [H2CO], glyoxal [C2H2O2], and sulfur dioxide [SO2]). Which instruments/observations do you currently use for your work? We need/use all of them.

EPA, NASA, NOAA, DOE, USFS, USDA, DOT, FAA, CDC, NIEH, BOEM Question 3: A variety of current and future partners exist in the community. Who are your key partners or end user organizations on tasks, projects, or processes that use NASA satellite data? Who are additional potential users? EPA, NASA, NOAA, DOE, USFS, USDA, DOT, FAA, CDC, NIEH, BOEM State & local agencies Industries Energy Companies Transportation (railroad, shipping, etc.) Urban development/coastal community planning Farming and agriculture Educational, academic agencies

(2) Near real-time emissions estimates Question 4: Given what you have learned about TEMPO over the last two days, what additional or higher level data products from TEMPO might be useful in your science or applications tasks? (Include the characteristics of the product and other requirements, e.g. resolution, accuracy, data latency, data format.) Rank them in importance. (1) Chemical/meteorological data assimilation or fused data products (e.g. surface concentrations, surface mixing ratio) with TEMPO and other observations at all times. (2) Near real-time emissions estimates (3) Higher spatial resolution derived products (4) Higher temporal resolution derived products

Discovery (knowing what all is out there) Question 5: Within your organization, what are the biggest impediments limiting your use of new satellite data and products? Time/ease of use Discovery (knowing what all is out there) Understanding/Knowledge of proper application of products These problems could be mitigated by pairing with a product team Need more feedback from end users Data volume/storage

Question 6: What data formats (e.g., NetCDF, HDF, GIS-compatible, etc.) do you need for your science or applications tasks? Given that TEMPO is a factor of 100 greater in data volume than current LEO satellites, we need to think simultaneously about format and tools to use the data. Collaborate with ESIP for large data volume transfer and issues with data formats, etc. What combination of data formats and data visualization will be available and useful. The end users may not be familiar with NetCDF and HDF data formats so they need to be equipped with some data visualization tool.