1 AOD to PM2.5 to AQC – An excel sheet exercise ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan Gupta Salt.

Slides:



Advertisements
Similar presentations
Time series of satellite-based fine particulate matter (PM 2.5 ) concentrations over China: Guannan Geng, Qiang Zhang, Aaron van Donkelaar, Randall.
Advertisements

Collection 6 Aerosol Products Becoming Available
NOAA GOES-R Air Quality Proving Ground July 30, 2011 Case Study Haze in Mid-Atlantic.
GOES-R AEROSOL PRODUCTS AND AND APPLICATIONS APPLICATIONS Ana I. Prados, S. Kondragunta, P. Ciren R. Hoff, K. McCann.
1 Surface nitrogen dioxide concentrations inferred from Ozone Monitoring Instrument (OMI) rd GEOS-Chem USERS ` MEETING, Harvard University.
Estimating global climatological PM 2.5 from MODIS and MISR AOD Aaron van Donkelaar and Randall Martin April 2009.
M. Schaap, A. Apituley, R. Koelemeijer, R. Timmermans, G. de Leeuw Mapping the PM2.5 distribution in the Netherlands using MODIS AOD.
Satellite Remote Sensing of Surface Air Quality
Evaluating Remote Sensing Data Or How to Avoid Making Great Discoveries by Misinterpreting Data Richard Kleidman ARSET-AQ Applied Remote Sensing Education.
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Infusing satellite Data into Environmental Applications (IDEA): PM2.5 forecasting tool hosted at NOAA NESDIS using NASA MODIS (Moderate Resolution Imaging.
Infusing satellite Data into Environmental Applications (IDEA): R. Bradley Pierce NOAA/NESDIS/STAR PM2.5 forecasting tool hosted at NOAA NESDIS using NASA.
Fire Products Training Workshop in Partnership with BAAQMD Santa Clara, CA September 10 – 12, 2013 Applied Remote SEnsing Training (ARSET) – Air Quality.
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Dust Detection in MODIS Image Spectral Thresholds based on Zhao et al., 2010 Pawan Gupta NASA Goddard Space Flight Center GEST/University of Maryland Baltimore.
SPIE Remote Sensing Dresdsen 1 APPLICATION OF MAIAC HIGH SPATIAL RESOLUTION AEROSOL RETRIEVALS OVER PO VALLEY (ITALY) Barbara Arvani (1),(*), R.
IDEA - Infusing satellite Data into Environmental (air quality) Applications Summer 2003: Prototype Analysis, Fusion, and Visualization of NASA ESE and.
Great Basin Ozone Problem Measurements indicate high ozone concentrations in the Great Basin. Back trajectory analysis and satellite remote sensing will.
Aircraft spiral on July 20, 2011 at 14 UTC Validation of GOES-R ABI Surface PM2.5 Concentrations using AIRNOW and Aircraft Data Shobha Kondragunta (NOAA),
Visualization, Exploration, and Model Comparison of NASA Air Quality Remote Sensing data via Giovanni Ana I. Prados, Gregory Leptoukh, Arun Gopalan, and.
Satellite Remote Sensing of Global Air Pollution
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Application of Satellite Data to Particulate, Smoke and Dust Monitoring Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality.
Training Workshop in Partnership with BAAQMD
Fractional snow cover estimation in the complex alpine-forested areas using MODIS and Landsat Elzbieta Czyzowska – Wisniewski research conducted under.
Chapter 4: How Satellite Data Complement Ground-Based Monitor Data 3:15 – 3:45.
Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.
Winter precipitation and snow water equivalent estimation and reconstruction for the Salt-Verde-Tonto River Basin for the Salt-Verde-Tonto River Basin.
Algorithms and chemical data assimilation activities at Environment Canada Chris McLinden Air Quality Research Division, Environment Canada 2 nd TEMPO.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Future Satellite Capabilities for Air Quality Applications Future Satellite Capabilities for Air Quality Applications ARSET - AQ Applied Remote SEnsing.
Advances in Applying Satellite Remote Sensing to the AQHI Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Akhila Padmanabhan, Dalhousie.
GOES and GOES-R ABI Aerosol Optical Depth (AOD) Validation Shobha Kondragunta and Istvan Laszlo (NOAA/NESDIS/STAR), Chuanyu Xu (IMSG), Pubu Ciren (Riverside.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET-AQ Applied Remote SEnsing Training A project of NASA Applied Sciences Pawan Gupta Originally.
Assessment of aerosol plume dispersion products and their usefulness to improve models between satellite aerosol retrieval and surface PM2.5  Chowdhury.
DEVELOPING HIGH RESOLUTION AOD IMAGING COMPATIBLE WITH WEATHER FORECAST MODEL OUTPUTS FOR PM2.5 ESTIMATION Daniel Vidal, Lina Cordero, Dr. Barry Gross.
Where are we now and where are we going? Capabilities in Remote Sensing and Air Quality Applications ARSET - AQ Applied Remote SEnsing Training – Air Quality.
NASA and Earth Science Applied Sciences Program
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Pawan Gupta Satellite.
Reading and Mapping Aerosol Data From a MODIS HDF4 File
Fog- and cloud-induced aerosol modification observed by the Aerosol Robotic Network (AERONET) Thomas F. Eck (Code 618 NASA GSFC) and Brent N. Holben (Code.
Figure 2. Trend of chemical b ext at (a) BLIS1 and (b) SOLA1. The whiskers and boxes indicate 90 th, 80 th, 20 th, and 10 th percentile of b ext for each.
1 _________________________________________________________________________________________________________________________________________________________________.
Satellite Aerosol Validation Pawan Gupta NASA ARSET- AQ – GEPD & SESARM, Atlanta, GA September 1-3, 2015.
1 AOD to PM2.5 to AQC – An excel sheet exercise ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan Gupta NASA.
Presented at the 7th Annual CMAS Conference, Chapel Hill, NC, October 6-8, 2008 Identifying Optimal Temporal Scale for the Correlation of AOD and Ground.
Estimating PM 2.5 from MODIS and MISR AOD Aaron van Donkelaar and Randall Martin March 2009.
Chemical Data Assimilation: Aerosols - Data Sources, availability and needs Raymond Hoff Physics Department/JCET UMBC.
Review of PM2.5/AOD Relationships
National Aeronautics and Space Administration 89th AMS Annual Meeting January 15, th Conference on Atmospheric Chemistry Session 10:
NOAA GOES-R Air Quality Proving Ground March 25, 2011 Case Study Smoke in Southeastern U.S.
Analysis of satellite imagery to map burned areas in Sub-Saharan Africa CARBOAFRICA conference “Africa and Carbon Cycle: the CarboAfrica project” Accra.
PM 2.5 Transport From Wildfires Case Study: Bugaboo Fire – Georgia/Florida, May 2007 Sean Ryan.
An Introduction to the Use of Satellites, Models and In-Situ Measurements for Air Quality and Climate Applications Richard Kleidman
Daytime variations of AOD and PM2
Prepared for Initial MAC Smog Blog Training By Battelle
Vicarious calibration by liquid cloud target
Evaluating Remote Sensing Data
Using Sun Glint and Antarctic Ice Sheets to Calibrate MODIS and AVHRR Observations of Reflected Sunlight William R. Tahnk and James A. Coakley, Jr Cooperative.
NOAA GOES-R Air Quality Proving Ground Case Study 2 May 24, 2007
(2)Battelle Memorial Institute, 2101 Wilson Boulevard, Suite 800,
Presentation by: Dan Goldberg1
Estimating PM2.5 using MODIS and GOES aerosol optical depth retrievals in IDEA Hai Zhang , Raymond M. Hoff1 , Shobha Kondragunta2.
Satellite Remote Sensing of Ground-Level NO2 for New Brunswick
NOAA GOES-R Air Quality Proving Ground July 4, 2012 Case Study
Global Climatology of Fine Particulate Matter Concentrations Estimated from Remote-Sensed Aerosol Optical Depth Aaron van Donkelaar1, Randall Martin1,2,
Satellite NO2 Monitoring over the Oil Sands Region (video)
Global Climatology of Aerosol Optical Depth
Presentation transcript:

1 AOD to PM2.5 to AQC – An excel sheet exercise ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan Gupta Salt Lake City, April 22-25, 2013

Exercise -1 – Converting AOD to PM2.5 Required Data PM2.5 mass concentration from ground monitors Satellite Derived Aerosol Optical Depth Meteorological Fields – only if working with multi-variable method

Exercise -1 – Converting AOD to PM2.5 to AQC … STEP # 1 - Getting Satellite and Surface Data Obtained MODIS AOD data file from the NASA data server for your region/date/time of interest ( – from earlier exercisehttp://ladsweb.nascom.nasa.gov/ To get PM2.5 data for your region

Exercise -1 – Converting AOD to PM2.5 to AQC … STEP # 2 – Collocating Satellite and Surface Data Run provided IDL code to obtained AOD at location of PM2.5 ground monitor --- from earlier exercise. Spatial and Temporal Collocation Methods pick nearest pixel or average over 3x3 or 5x5 pixels pick closest PM2.5 measurement from ground to satellite over pass time

Terra MODIS (10:30) Aqua MODIS (1:30) X XXXXXX XXXXXXX XXXXXXX XXXXXXX XXXXXXX XXXXXXX XXXXXXX Temporal Collocation Spatial Collocation STEP # 2 Cont…

STEP # 3 - Developing Relationship between AOD and PM2.5 Exercise -1 – Converting AOD to PM2.5 to AQC … Slope Intercept

STEP # 4 - Estimating PM2.5 from Satellite AOD Exercise -1 – Converting AOD to PM2.5 to AQC … PM2.5= AOD*

STEP # 5 - PM2.5 to Air Quality Exercise -1 – Converting AOD to PM2.5 to AQC … Online Tool on=resources.conc_ aqi_calc

STEP # 5 - PM2.5 to Air Quality Exercise -1 – Converting AOD to PM2.5 to AQC … AQC - Est AQC - Obs

Spatial Mapping of Pollution from Satellite

Creating Air Quality Category Map Provide MODIS AOD file, slope and intercept to this code – will create AQC map

Spatial Distribution July 4, For comparisons w.mapsarchivecalendar

Multiple Linear Regression Method Required AOD and Meteorological Fields – more data processing, more expertise but most of the time the product provides a more accurate PM2.5 estimation

Multiple Linear Regression Method AOD, PM2.5 and Meteorological Data

Multiple Linear Regression Method Results