11 giovanni aerosol products aqa
DESCRIPTION
11 Giovanni Aerosol Products AQATRANSCRIPT
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Pawan Gupta1, Sundar A. Christopher1, Ana Prados2
1UAHuntsville 2UMBC, JCET
AMS Giovanni Short Course
January 11th, 2009
OMI and MODIS Aerosol OMI and MODIS Aerosol Data in GIOVANNIData in GIOVANNI
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Giovanni Air Quality Tools and DatasetsGiovanni Air Quality Tools and Datasets
Available Science Data Sets Available Science Data Sets PM2.5 station data - Acquired at DataFed from EPA
AIRNow and then via WCS into Giovanni MODIS TERRA and AQUA total and fine mode Aerosol
Optical Depth MISR Aerosol Optical Depth CALIOP Aerosol Feature Mask curtain plots OMI UV Aerosol Index GOCART Model data – AOD speciation (2x2.5 degree)
Useful Tools for Air Quality ApplicationsUseful Tools for Air Quality Applications AOD/ PM2.5 scatter plots, correlation maps, time
series and difference plots AOD and PM2.5 loops for examining long range
transport of aerosols
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Examples from GIOVANNIExamples from GIOVANNI
Visualizing California’s Wildfires from Visualizing California’s Wildfires from Space Space
Tropospheric Tropospheric NONO22
UV Aerosol UV Aerosol IndexIndex
Aerosol Aerosol Small Mode Small Mode
FractionFraction
Cloud Cloud Optical Optical
ThicknessThickness
Total Column Total Column COCO
Aerosol Mass Aerosol Mass over Landover Land
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Southern California WildfiresSouthern California Wildfires
Aerosol Optical Depths at 0.55 µm (550 nm- red) from the MODIS instrument on the Terra satellite
25 October 200725 October 2007
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25 October 200725 October 2007
MODIS on Terra~10:30 amMODIS on Terra~10:30 am MODIS on Aqua ~1:30 pmMODIS on Aqua ~1:30 pm
Southern California WildfiresSouthern California Wildfires
Aerosol Optical Depths at 0.55 µm (550 nm- red)
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Southern California WildfiresSouthern California Wildfires
25 October 200725 October 2007
MODIS on TerraMODIS on Terra
~10:30 am~10:30 am
MODIS on Aqua, ~1:30 pmMODIS on Aqua, ~1:30 pm
OMI UV Aerosol OMI UV Aerosol Index on AuraIndex on Aura
~1:38 pm~1:38 pm
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Southern California WildfiresSouthern California Wildfires
23-27 October 200723-27 October 2007
OMI Tropospheric NOOMI Tropospheric NO22
OMI UV Aerosol IndexOMI UV Aerosol Index
Multi-day means “smear out” some spatial features, but allow for more complete coverage for data-sparse mapping
Multi-day means “smear out” some spatial features, but allow for more complete coverage for data-sparse mapping
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Southern California WildfiresSouthern California Wildfires
MODIS Cloud Optical MODIS Cloud Optical ThicknessThickness
OMI Tropospheric NOOMI Tropospheric NO22 OMI UV Aerosol IndexOMI UV Aerosol Index AIRS Carbon Monoxide AIRS Carbon Monoxide (CO)(CO)
MODIS Aerosol Mass MODIS Aerosol Mass over Landover Land
MODIS Small Aerosol MODIS Small Aerosol FractionFraction
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Description Description
Spatial SelectionSpatial Selection
Parameter Parameter SelectionSelection
Temporal Temporal SelectionSelectionVisualization Visualization SelectionSelection
Some instances have Some instances have vertical or wavelength vertical or wavelength selectionselection
Instance Landing Page for Gridded dataInstance Landing Page for Gridded data
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Outputs: Refine/ModifyOutputs: Refine/Modify
Refine constraints and edit plot preferences
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Download data files and images hereDownload data files and images here
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GIOVANNI data download page GIOVANNI data download page HDF, NetCDF, ASCII and HDF, NetCDF, ASCII and KMZsKMZs
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MODIS Aerosol Optical DepthMODIS Aerosol Optical Depth
Almost two daily observations - Terra and Aqua
Sensitive to Boundary Layer Industrial, smoke & dust aerosols
Well validated over land
Fine mode fraction
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Air Air PollutionPollution over China: over China: MODIS AOD via GiovanniMODIS AOD via Giovanni
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July 4July 4thth – August 4 – August 4thth, 2008, 2008 August 5August 5thth – August 25 – August 25thth, , 20082008
Beijing Summer 2007Beijing Summer 2007 Beijing Summer 2008Beijing Summer 2008
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OMI UV Aerosol IndexOMI UV Aerosol Index
Mostly sensitive to absorbing aerosols above the planetary boundary layer (i.e transported smoke, and dust plumes)
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GIOVANNI: PMGIOVANNI: PM2.52.5 Gridded Data Gridded Data
PM2.5 data from EPA AirNow (acquired from DataFed via WCS) provided in GIOVANNI framework as 1 degree gridded product,
which makes easy to compare with other satellite & ground observation
Gridded GIOVANNI PM2.5 (µgm-3)
PM2.5 Air Quality Index
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July 31July 31stst, , 20072007
In Canada and the north-central US, MODIS and OMI show thick aerosols plumes. CALIOP overpass has a plume above the boundary layer
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CALIPSO Curtain Plots (A-Train)CALIPSO Curtain Plots (A-Train)July 31, 2007: Smoke and Haze over the U.SJuly 31, 2007: Smoke and Haze over the U.S
OMI contours over MODIS AOD. White lines indicate CALIPSO overpass
Calipso provides vertical aerosol and cloud
information
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AIRNow PMAIRNow PM2.52.5 map in map in backgroundbackground
YellowYellow:: Calipso aerosol Calipso aerosol flag flag
Blue:Blue: cloud flag cloud flag
Calipso Curtain Plots: July 31, 2007Calipso Curtain Plots: July 31, 2007Industrial Haze in Southeastern USIndustrial Haze in Southeastern US
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Monitor-Satellite ComparisonsMonitor-Satellite ComparisonsJune 15- July 15June 15- July 15thth, 2006, 2006
Satellite data is a total column --- not necessarily correlated with PM2.5
concentrations
MODIS/PM2.5 correlation MODIS/PM2.5 time series
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Giovanni currently provides several NASA earth science products for visualization and exploration of U.S air quality, including aerosols from MODIS, OMI, and CALIPSO on the A-Train constellation, and gridded EPA AIRNow
PM2.5 surface concentrations.
Customized data files, plots, and maps by date/range & geographical region.
Easy download of KMZ data files for 3D Visualization of US and Global Air Quality.
Giovanni currently provides several NASA earth science products for visualization and exploration of U.S air quality, including aerosols from MODIS, OMI, and CALIPSO on the A-Train constellation, and gridded EPA AIRNow
PM2.5 surface concentrations.
Customized data files, plots, and maps by date/range & geographical region.
Easy download of KMZ data files for 3D Visualization of US and Global Air Quality.
SummarySummary