Dispersion Model Downscaling of Satellite-Derived PM2.5 Grids

Slides:

Advertisements

Similar presentations

A Tutorial on MODIS and VIIRS Aerosol Products from Direct Broadcast Data on IDEA Hai Zhang 1, Shobha Kondragunta 2, Hongqing Liu 1 1.IMSG at NOAA 2.NOAA.

Advertisements

Development and Application of PM2.5 Interpollutant Trading Ratios to Account for PM2.5 Secondary Formation in Georgia James Boylan and Byeong-Uk Kim Georgia.

A Web-based Community Approach to Model Evaluation using AMET Saravanan Arunachalam 1, Nathan Rice 2 and Pradeepa Vennam 1 1 Institute for the Environment.

Second Suomi NPP Applications Workshop Huntsville, AL 18 November 2014 Downscaling Air Temperature and LST Using MODIS and Landsat Data Bill Crosson, Mohammad.

Georgia Chapter of the Air & Waste Management Association Annual Conference: Improved Air Quality Modeling for Predicting the Impacts of Controlled Forest.

A Tutorial on MODIS and VIIRS Aerosol Products from Direct Broadcast Data on IDEA Hai Zhang 1, Shobha Kondragunta 2, Hongqing Liu 1 1.IMSG at NOAA 2.NOAA.

Use of Satellite Remote Sensing for Public Health Applications: The HELIX-Atlanta Experience Bill Crosson Mohammad Al-Hamdan, Maury Estes, Ashutosh Limaye,

Office of Research and Development National Exposure Research Laboratory CMAS Special Session on Human Health October 13, 2010 Combining Models and Observations.

Infusing satellite Data into Environmental Applications (IDEA): PM2.5 forecasting tool hosted at NOAA NESDIS using NASA MODIS (Moderate Resolution Imaging.

Krish Vijayaraghavan, Prakash Karamchandani Christian Seigneur AER San Ramon, CA 3rd Annual CMAS Models-3 Conference October 18-20, 2004 Chapel Hill, NC.

Development of PM2.5 Interpollutant Trading Ratios James Boylan and Byeong-Uk Kim Georgia EPD – Air Protection Branch 2012 CMAS Conference October 16,

Simulating prescribed fire impacts for air quality management Georgia Institute of Technology M. Talat Odman, Yongtao Hu, Fernando Garcia-Menendez, Aika.

Ozone MPE, TAF Meeting, July 30, 2008 Review of Ozone Performance in WRAP Modeling and Relevance to Future Regional Ozone Planning Gail Tonnesen, Zion.

Fine scale air quality modeling using dispersion and CMAQ modeling approaches: An example application in Wilmington, DE Jason Ching NOAA/ARL/ASMD RTP,

Center for Environmental Modeling for Policy Development University of North Carolina at Chapel Hill Center for Community Modeling and Analysis System.

AoH/MF Meeting, San Diego, CA, Jan 25, 2006 Source Apportionment Modeling Results and RMC Status report Gail Tonnesen, Zion Wang, Mohammad Omary, Chao-Jung.

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.

Source-Specific Forecasting of Air Quality Impacts with Dynamic Emissions Updating & Source Impact Reanalysis Georgia Institute of Technology Yongtao Hu.

Development and Preliminary Results of Image Processing Tools for Meteorology and Air Quality Modeling Limei Ran Center for Environmental Modeling for.

Modeling as an exposure estimation approach for use in epidemiologic studies Part 2: Example applications KL Dionisio 1, LK Baxter 1, V Isakov 1, SE Sarnat.

Continued improvements of air quality forecasting through emission adjustments using surface and satellite data & Estimating fire emissions: satellite.

GOING FROM 12-KM TO 250-M RESOLUTION Josephine Bates 1, Audrey Flak 2, Howard Chang 2, Heather Holmes 3, David Lavoue 1, Mitchel Klein 2, Matthew Strickland.

1 Overview Community Health Modeling Working Group Meeting Tony Servin, P.E. Modeling Support Section Planning and Technical Support Division May 6, 2003.

1 Tropical Cloud Systems and Processes (TCSP) Experiment Science Team 25 Principal Investigators from 5 NASA centers, 10 universities, 2 other government.

Comparison of NAAQS RIA and Risk Assessments - Bryan Hubbell.

Denver 2004 TGP1 PM2.5 Emissions Inventory Workshop Denver, CO March 2004 Thompson G. Pace USEPA Emissions Estimation for Wildland Fires.

Statewide Energy Efficiency Collaborative June 17 & 18 Presentation to RMCP Committee July 15, 2015.

AoH/MF Meeting, San Diego, CA, Jan 25, 2006 WRAP 2002 Visibility Modeling: Summary of 2005 Modeling Results Gail Tonnesen, Zion Wang, Mohammad Omary, Chao-Jung.

Fine Scale Modeling of Ozone Exposure Estimates using a Source Sensitivity Approach Cesunica E. Ivey, Lucas Henneman, Cong Liu, Yongtao T. Hu, Armistead.

Modeling as an exposure estimation approach for use in epidemiologic studies Part 2: Example applications KL Dionisio 1, LK Baxter 1, V Isakov 1, SE Sarnat.

Advances in Support of the CMAQ Bidirectional Science Option for the Estimation of Ammonia Flux from Agricultural cropland Ellen Cooter U.S. EPA, National.

Updates to model algorithms and inputs for the Biogenic Emissions Inventory System (BEIS) model Jesse Bash, Kirk Baker, George Pouliot, Donna Schwede,

California Health and Human Services Agency - Office of Systems Integration (OSI) PMO Forum November 19,

Russian Academy of Sciences R&D contribution to GEOGLAM

Air Quality, Public Health, and Potential TEMPO Applications

Yang Liu, PhD HAQAST1 November 3-4, 2016 Emory University, Atlanta

Potential use of TEMPO AOD & NO2 retrievals to support wild fire plume & O3 & PM2.5 forecast in National Air Quality Forecasting Capability (NAQFC) Pius.

VEGA-GEOGLAM Web-based GIS for crop monitoring and decision support in agriculture Evgeniya Elkina, Russian Space Research Institute The GEO-XIII Plenary.

Use of Satellite Data for Georgia’s Air Quality Planning Activities Tao Zeng and James Boylan Georgia EPD – Air Protection Branch TEMPO Applications.

Predicting PM2.5 Concentrations that Result from Compliance with National Ambient Air Quality Standards (NAAQS) James T. Kelly, Adam Reff, and Brett Gantt.

RD Evaluation and Comparison OF Methods to Construct Air Quality Fields for Exposure Assessment haofei yu, jim mulholland, howard chang, ran huang,

Mobile Source Contributions to Ambient PM2.5 and Ozone in 2025

EPA Tools and Data Update

Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.

Establishing RD&D Foundation for Smart Grid Center: Reference Design for Residential Information Gateways David M. Auslander Mechanical Engineering, UC.

Development of a Multipollutant Version of the Community Multiscale Air Quality (CMAQ) Modeling System Shawn Roselle, Deborah Luecken, William Hutzell,

Source Attribution Using Satellite Products and Models to Inform Air Quality Planning and Health Accountability PI: Arlene M. Fiore Co-I: Pat.

Source Apportionment Modeling to Investigate Background, Regional, and Local Contributions to Ozone Concentrations in Denver, Phoenix, Detroit, and Atlanta.

1st HAQAST Stakeholder Meeting

2017 Annual CMAS conference, October 24, 2017

Website update and service integration tool

How Can TEMPO Contribute to Air Pollution Health Effects Research

AERLINE: Air Exposure Research model for LINE sources

Forecasting Exposures to Prescribed Fire Smoke for Health Predictions in Southeastern USA Talat Odman, Ha Ai, Yongtao Hu, Armistead.

WRAP RMC Phase II Wind Blown Dust Project

WGCV Work Plan Actions K. . Thome NASA WGCV Plenary # 43

EASIUR: A Reduced-Complexity Model Derived from CAMx

George Washington University

Generation of Cloud Products from NOAA’s Operational Satellite Imagers

Fernando Garcia-Menendez

Central Valley Monitoring Directory

IMPROVING PUBLIC INFORMATION

Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.

Neighborhood-scale health impacts from PM2.5

Planning for TEMPO data access via U.S. EPA Remote Sensing Gateway

Current Research on 3-D Air Quality Modeling: wildfire!

Big data for Global Change Ecology (Biogeography)

Working towards a central Register : Simple, Complete and Widely Accessible September 29, 2010 Session no 5 - Register quality as a common task : Cooperation.

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.

Dr. Tracey Holloway, NASA HAQAST Team Lead

Presentation transcript:

Dispersion Model Downscaling of Satellite-Derived PM2.5 Grids HAQAST Core Project Frank Freedman (San Jose State University) Mohammad Al-Hamdan (USRA) Akula Venkatram (UC Riverside) Sen Chiao (San Jose State University) Stakeholders Meeting Emory University (Atlanta, GA) November 4, 2016

EPA AQS PM2.5 NASA MODIS-Estimated PM2.5 Example July 14, 2003

ODIS-derived PM2.5 MODIS-derived PM2.5 Example: July 14, 2003 10-km resolution Daily over period 2003 – 2011 Available at CDC WONDER (down to county level) https://wonder.cdc.gov/nasa-pm.html

(Example screenshot, C-LINE line source model) C-TOOLS (Example screenshot, C-LINE line source model) Downscaling based on “C-TOOLS” dispersion models Simplified, more computationally efficient internal framework User-friendly web-based interface Geared towards health and public policy users https://www.cmascenter.org/c-tools/

HAQAST Core Project Goal Deliverables End Users Web platform for end-users to generate PM2.5 fields and time-series data anywhere in the U.S. at local scale from 2003 – current. Deliverables D1: Update MODIS-derived 10-km PM2.5 grids quarterly (2003 – present) D2: Web platform to compare PM2.5 grids w related gridded fields (NASA, CMAQ, NOAA) D3: Web platform to downscale fields (C-MOD; C-TOOLS version of AERMOD) Focus on California for development phase. End Users BAAQMD & SCAQMD: Various operational needs Health Researchers: Epidemiological time-series generation Others …