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

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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)

14

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