Giovanni for AQ
Gregory Leptoukh
NASA Goddard Space Flight CenterGoddard Earth Sciences
Data and Information Services Center (GES DISC)
Comprehensive Data Systems provide an environment for working with all sources of relevant data (satellite, ground-based and
models) across the full range of temporal and spatial scales.
POLDERTerra
Aqua
Aura
CloudSAT
CALIPSO
SORCE
TRMM
UARS
Nimbus-7Earth Probe
Current Satellites(NASA, NOAA, ESA, JAXA)
Legacy Satellites
Computer ModelsGCMs
Regional Models
Earth System Models
Process Models
Ground-Based Observations
SondesAircraft
Lidar, Radar
AERONET, Dobson, Brewer, etc.
Air Quality Giovanni
Global Warming Giovanni
Ozone Giovanni
Precipitation Giovanni
Cloud Cover Giovanni
“My Giovanni”
Giovanni for Students
Giovanninear future
Comprehensive Data Systems
Giovanni now
• More than 35 customized Giovanni instances• More than 1000 of geophysical parameters• Data from:
o ~ 20 space-based instruments o ~ 50 modelso EPA and Aeronet stations
• Multiple visualization and statistical analysis functionalities including data intercomparison
• Data lineage• Subsetted data downloads in multiple formats
Multi-Sensor Air Quality Giovanni
• Visualizations of Level-3 gridded satellite data
• The first Giovanni instance with point source data (PM2.5 ground-based aerosol observations from EPA) co-located with a variety of satellite datasets
• Multi-sensor observations of aerosols facilitate analysis of air pollution events
• Temporal and geographical selection of data products - Lat/lon maps with overlay option, time series, and Hovmöller plots for customized visualization of air quality events
• Combined surface monitor and satellite data - AOD/ PM2.5 scatter plots, correlation maps, time series and difference plots for analysis and source attribution of pollution events
• Temporal animation plots of air quality data products for examining long range transport of pollutants
July 31st, 2007
• In Canada and the north-central US, MODIS and OMI show thick aerosols plumes. CALIOP overpass has a plume above the boundary layer.
• In the Southeastern US OMI doesn’t see aerosols located mostly in the boundary layer according to CALIOP.
5/6/2009
Hemispheric Transport of Air pollution (HTAP) Giovanni
Develop a web-based tool for Hemispheric Transport of Air pollution Model Inter-comparison.
Potentially expand it for comparison with remote sensing data Funding: Friedl, Collaborator: Keating
04/19/23 6Gregory Leptoukh, NASA
Technicalities: servers, protocols, interoperability, etc.
Giovanni Data sources and their access protocolsData sources Protocol Data
NASA GES DISC Local access AIRS, TRMM, OMI, MLS, HIRDLS
NASA MODIS DAAC FTP MODIS
NASA Ocean Color DAAC FTP SeaWiFS, MODIS
NASA Langley DAAC OPeNDAP CALIPSO, MISR, TES, CERES
NSIDC FTP AMSR-E
NOAA FTP Snow, Ice, NCEP
Univ. of Maryland FTP MODIS fire, NDVI
Colorado State Univ. FTP CloudSat
CIESIN Columbia University
FTP Population data
JPL FTP QuickSat
EPA via DataFed WCS PM2.5
Lille, France FTP Parasol
ESA FTP MERIS
Juelich, Germany FTP WCS HTAP
DLR, Germany WCS GOME-2
Paris, France OPeNDAP AEROCOM04/19/23 8Gregory Leptoukh, NASA
Giovanni Data via Protocols & Services• Anonymous FTP
– Available for all public data• Public HTTP
– alternative to anonymous FTP, for most data• Open-Source Network for Data Access Protocol (OPeNDAP)
– Supports subsetting, ASCII download– Supports netCDF conversion for HDF5 data– Available for many datasets
• OGC Web Coverage Service– Typically implies interpolation / reprojection– NetCDF/CF-1 profile– Does not support vertical profiles– Offered for a few datasets
• OGC Web Map Service– Reprojected, mapped visualization– Offered for TRMM AIRS, AIRS Near-real-time
04/19/23 9Gregory Leptoukh, NASA
Data Harmonization, Data Provenance and Science quality of
Giovanni results
04/19/23 Gregory Leptoukh, NASA 11
Data harmonizationData from multiple sensors need to be harmonized before comparison or fusion
Harmonization is needed for:•Formats•Metadata•Grids•Quality •Provenance
To ensure “apples-to-apples” comparison
04/19/23 San Francisco, CA12
Gregory Leptoukh, NASA
Maps of Ozone from OMI (NASA Goddard) and GOME2 (DLR, Germany) harmonized by Giovanni
OMI GOME2
Interoperability with other data centers in USA and Europe
Evolving Giovanni infrastructure
Agile Giovanni for Year of Tropical Convection (YOTC)
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AIRS and TRMM Level 2 profile data are extracted from a single point location after a location is selected from a spatial map produced from the relevant Level 3 data.
04/19/23 Gregory Leptoukh, NASA
Peer-reviewed publications acknowledging Giovanni
04/19/23 15Gregory Leptoukh, NASA