NASA Goddard Earth Sciences (GES), Data Information Service Center (DISC), Distributed Active and Archive Center (DAAC), Greenbelt, MD - USA - PowerPoint PPT Presentation

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NASA Goddard Earth Sciences (GES), Data Information Service Center (DISC), Distributed Active and Archive Center (DAAC), Greenbelt, MD - USA

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Gilberto Vicente, Jianchun Qin (JCQ), Jason Li, Irina Gerasimov, Andrey Savtchenko http://disc.gsfc.nasa.gov NASA Goddard Earth Sciences (GES), Data Information ... – PowerPoint PPT presentation

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Title: NASA Goddard Earth Sciences (GES), Data Information Service Center (DISC), Distributed Active and Archive Center (DAAC), Greenbelt, MD - USA


1
AIRS Data Subsetting Service at the Goddard Earth
Sciences - GES - DISC/DAAC
Gilberto Vicente, Jianchun Qin (JCQ), Jason Li,
Irina Gerasimov, Andrey Savtchenko
http//disc.gsfc.nasa.gov
NASA Goddard Earth Sciences (GES), Data
Information Service Center (DISC), Distributed
Active and Archive Center (DAAC), Greenbelt, MD -
USA
  • S u m m a r y
  • This poster describes the web-enabled subsetting
    services currently available at the GES DISC/DAAC
    that provide functions for all the Level 1B and
    Level 2 data products from the AIRS/AMSU/HSB
    instruments. The on-line services allow users to
    access the data in interoperable, personalized,
    real-time, on-demand and on-the-fly manners. The
    input file can be subsetted by channels only, by
    parameters only or by channels and parameters.
  • The GES DISC subsetting web-based systems are
  • On-Demand Subset system - ODS
  • Places orders to the long term tape archive,
    where all data for the missions durations are
    kept. Users receive email notification when the
    subset data are ready for pick-up or have been
    pushed to the User's host.
  • On-the-fly system OTF
  • Works with the GES DISC Data Pool only. It is a
    disk cache of 50 TB of rolling archive, where the
    data are available for instant download. All data
    have certain retention time and are replaced with
    new one as soon as the retention time expires.
  • The fine resolution data holdings expire in just
    several weeks because of the large data volumes
    and the limited disk space. Many coarser
    resolution data, like AMSU radiances and the
    upcoming Level-3 products, will be kept for more
    than one year before being replaced. The
    advantage of this subset service is that it is
    instantaneous, and the only wait time is that of
    the data download.
  • Three major types of AIRS data subsets are
    available
  • Level 1B Channel/Variable subset
  • OTF for Infrared geolocated and calibrated
    radiances OTF for Visible/Near Infrared
    geolocated and calibrated radiances OTF for
    AMSU-A1 AMSU-A2 combined, geolocated and
    calibrated brightness temperature ODS for
    Infrared geolocated and calibrated radiances
    (coming soon) ODS for Visible/Near Infrared
    geolocated and calibrated radiances (coming
    soon) ODS for AMSU-A1 AMSU-A2 combined,
    geolocated and calibrated brightness temperature
    (coming soon)
  • 2. AIRS Level 2 Parameter subset
  • OTF for Standard final retrieval product in 28
    standard pressure levels OTF for Cloud-Cleared
    IR radiances
  • ODS for Standard final retrieval product in 28
    standard pressure levels (coming soon) ODS for
    Cloud-Cleared IR radiances (coming soon)

Channels Available for Subsetting
Services Users can either specify any channel
for the subsetting request or choose a
pre-defined set as shown in the table below
(Courtesy of Evan Manning, NASA/JPL). This will
make it easier for selecting all channels in
various frequency ranges.
Algorithm of on-the-fly Subsetting The core
functionality of the HDF-EOS Web-Based Subsetter
(HEW), which is developed by the University of
Alabama in Huntsville (UAH), has been extracted
into a stand-alone callable function known as the
HDF-EOS Subsetting Engine (HSE). The AIRS
Level-1B and Level-2 subsetter makes use of HSE
and can be incorporated into any application that
needs to perform HDF-EOS subsetting. The
subsetter populates a subsetting criteria data
structure which contains the information the HSE
needs to operate. This data structure is passed
to the HSE which then uses the information to
locate and subset the input files into the output
files. The output files are then deliver to end
user via FTP.
HardwareModule FrequencyRange Channel Numbers Number ofChannels Comments
All 649.61 - 2665.24cm-1 1 - 2378 323 The Numerical Weather Prediction sets
M-12 649.61 - 681.99cm-1 1 - 130 130 Long-wave temperature sounding
M-11 687.60 - 728.44cm-1 131-274 143 Long-wave temperature sounding
M-10 728.06 - 781.88cm-1 275 - 441 166 Long-wave surface
M-09 789.26 - 852.43cm-1 442 - 608 166 Long-wave surface
M-08 851.49 - 903.78cm-1 609 - 769 160 Long-wave surface
M-07 911.24 - 974.29cm-1 770 - 936 166 Long-wave surface
M-06 973.82 - 1046.20cm-1 937 - 1103 166 Ozone
M-05 1056.10 - 1136.66cm-1 1104 - 1262 158 Long-wave surface, Ozone
M-04d 1216.97 - 1272.59cm-1 1263 - 1368 105 Water vapor
M-04c 1284.35 - 1338.86cm-1 1369 - 1462 93 Water vapor, methane
M-03 1338.16 - 1443.07cm-1 1463 - 1654 191 Water vapor
M-04b 1460.27 - 1527.00cm-1 1655 - 1760 105 Water vapor
M-04a 1541.10 - 1613.86cm-1 1761 - 1864 103 Water vapor
M-02b 2181.50 - 2325.06cm-1 1865 - 2014 149 Shortwave temperature sounding, CO
M-01b 2299.80 - 2422.85cm-1 2015 - 2144 129 Shortwave temperature sounding
M-02a 2446.20 - 2569.75cm-1 2145 - 2260 115 Shortwave Surface
M-01a 2541.90 - 2665.24cm-1 2261 - 2378 117 Shortwave Surface
Internet
F T P
Overview of GES DAAC Services and Tools
Functionality
Web Logic
HSE Subsetter
DataPool (Online Disk Cache)
Clients Browser
DISC-DAAC Subsetting Service
Parameters Available for Subsetting Services
Surface Skin Temperature Long-wave surface, Ozone
Surface Air Temperature Microwave Emissivity
Atmospheric Temperature Total Cloud Liquid Water
Water Vapor Mass Mixing Ratio Cloud Top Temperature
Total Precipitable Water Vapor Cloud Top Pressure
Ozone Volume Mixing Ratio Effective Cloud Fraction
Total Ozone Burden Geopotential Heights at Std Pressure Level
Spectral IR Surface Emissivities Geopotential Heights of Surface
Spectral IR Surface Bi-direct Reflectivity Microwave Surface Brightness
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