Giovanni for AQ Gregory Leptoukh NASA Goddard Space Flight Center Goddard 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. POLDER Terra Aqua Aura CloudSAT CALIPSO SORCE TRMM UARS Nimbus-7 Earth Probe Current Satellites (NASA, NOAA, ESA, JAXA) Legacy Satellites Computer Models GCMs Regional Models Earth System Models Process Models Ground-Based Observations Sondes Aircraft Lidar, Radar AERONET, Dobson, Brewer, etc. Air Quality Giovanni Global Warming Giovanni Ozone Giovanni Precipitation Giovanni Cloud Cover Giovanni “My Giovanni” Giovanni for Students Giovanni near 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 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 Hovm ö ller 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 Inter-comparison. Potentially expand it for comparison with remote sensing data Funding: Friedl, Collaborator: Keating 10/8/20156Gregory Leptoukh, NASA

Technicalities: servers, protocols, interoperability, etc.

Giovanni Data sources and their access protocols Data sourcesProtocolData NASA GES DISCLocal accessAIRS, TRMM, OMI, MLS, HIRDLS NASA MODIS DAACFTPMODIS NASA Ocean Color DAACFTPSeaWiFS, MODIS NASA Langley DAACOPeNDAPCALIPSO, MISR, TES, CERES NSIDCFTPAMSR-E NOAAFTPSnow, Ice, NCEP Univ. of MarylandFTPMODIS fire, NDVI Colorado State Univ.FTPCloudSat CIESIN Columbia UniversityFTPPopulation data JPLFTPQuickSat EPA via DataFedWCSPM2.5 Lille, FranceFTPParasol ESAFTPMERIS Juelich, GermanyFTP  WCSHTAP DLR, GermanyWCSGOME-2 Paris, FranceOPeNDAPAEROCOM 10/8/20158Gregory 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 10/8/20159Gregory Leptoukh, NASA

Data Harmonization, Data Provenance and Science quality of Giovanni results

10/8/2015Gregory Leptoukh, NASA11 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

10/8/2015 San Francisco, CA 12 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

G1 & G2 Independent instances Giovanni-3 Harmonized data & inventory Separate instances Configurator Agile Giovanni (G4) Flexible infrastructure Modular Fully interoperable URL-based Data types L2 swath/profiles Point data 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. 10/8/2015Gregory Leptoukh, NASA

Peer-reviewed publications acknowledging Giovanni 10/8/201515Gregory Leptoukh, NASA