Giovanni for AQ Gregory Leptoukh NASA Goddard Space

Giovanni for AQ Gregory Leptoukh NASA Goddard Space Flight Center Goddard Earth Sciences Data and Information Services Center (GES DISC)

Comprehensive Data Systems Current Satellites (NASA, NOAA, ESA, JAXA) CALIPSO Aqua POLDER Terra Aura Cloud. SAT 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. SORCE TRMM Legacy Satellites UARS Earth Probe Nimbus-7 Ground-Based Observations Sondes Aircraft AERONET, Dobson, Brewer, etc. Lidar, Radar Computer Models GCMs Regional Models Precipitation Air Quality Giovanni Earth System Models Process Models Ozone Giovanni Global Warming Giovanni near future Cloud Cover Giovanni for Students “My Giovanni”

Giovanni now • More than 35 customized Giovanni instances • More than 1000 of geophysical parameters • Data from: o ~ 20 space-based instruments o ~ 50 models o 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 (PM 2. 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/ PM 2. 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 31 st, 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 Intercomparison. Potentially expand it for comparison with remote sensing data Funding: Friedl, Collaborator: Keating 1/18/2022 Gregory Leptoukh, NASA 6

Technicalities: servers, protocols, interoperability, etc.

Giovanni Data sources and their access protocols Data sources NASA GES DISC Protocol Local access Data AIRS, TRMM, OMI, MLS, HIRDLS NASA MODIS DAAC FTP MODIS NASA Ocean Color DAAC FTP Sea. Wi. FS, MODIS NASA Langley DAAC OPe. NDAP CALIPSO, MISR, TES, CERES NSIDC FTP AMSR-E NOAA FTP Snow, Ice, NCEP Univ. of Maryland FTP MODIS fire, NDVI Colorado State Univ. FTP Cloud. Sat CIESIN Columbia University FTP Population data JPL FTP Quick. Sat EPA via Data. Fed WCS PM 2. 5 Lille, France FTP Parasol ESA FTP MERIS FTP WCS HTAP Juelich, Germany DLR, Germany WCS Paris, France OPe. NDAP 1/18/2022 GOME-2 AEROCOM Gregory Leptoukh, NASA 8

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 (OPe. NDAP) – Supports subsetting, ASCII download – Supports net. CDF conversion for HDF 5 data – Available for many datasets • OGC Web Coverage Service – Typically implies interpolation / reprojection – Net. CDF/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 1/18/2022 Gregory Leptoukh, NASA 9

Data Harmonization, Data Provenance and Science quality of Giovanni results

Data harmonization Data 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 1/18/2022 Gregory Leptoukh, NASA 11

Interoperability with other data centers in USA and Europe GOME 2 OMI Maps of Ozone from OMI (NASA Goddard) and GOME 2 (DLR, Germany) harmonized by Giovanni 1/18/2022 Gregory Leptoukh, NASA San Francisco, CA 12

Evolving Giovanni infrastructure Agile Giovanni (G 4) • Flexible infrastructure • Modular Giovanni-3 • Harmonized data & • Fully interoperable • URL-based inventory • Data types • Separate instances G 1 & G 2 • L 2 swath/profiles • Configurator • Point data • Independent • 2005 instances • 2009 • 1998 -

Agile Giovanni for Year of Tropical Convection (YOTC) 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. 1/18/2022 Gregory Leptoukh, NASA 14

Peer-reviewed publications acknowledging Giovanni 250 Publication number 200 150 100 50 0 Series 1 1/18/2022 2004 3 2005 7 2006 6 2007 27 2008 50 Gregory Leptoukh, NASA 2009 85 2010 52 Total 230 15