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    • This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

    Sounder SIPS: AQUA AIRS IR-only Level 2 CLIMCAPS : Atmosphere, cloud and surface geophysical state V2 (SNDRAQIL2CCPRET) at GES DISC

    Metadata Updated: February 22, 2025

    WARNING: To users of the derived product “co_mmr_midtrop” (carbon monoxide mass mixing ratio to dry air [kg/kg] at ~500 hPa). This variable has a significant bias due to a conversion error: the molecular weight of carbon dioxide (CO2, 44.01 g/mol) was used instead of carbon monoxide (CO, 28.01 g/mol). To correct, simply multiply “co_mmr_midtrop” by 28.01/44.01. Alternatively, derive a profile of mass mixing ratio from scratch using the retrieved column density values (“mol_lay/co_mol_lay”) in the Level 2 files. For further questions or concerns please contact the Sounder SIPS at: sounder.sips@jpl.nasa.gov

    The CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) algorithm is used to analyze data from the AIRS (Atmospheric Infrared Sounder). The AIRS instrument is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. The AIRS CLIMCAPS Retrieval Product consists of retrieved estimates of cloud and surface properties, plus profiles of retrieved temperature, water vapor, ozone, carbon monoxide and methane. The temperature profile vertical resolution is 100 levels total between 1100 mb and 0.1 mb, while moisture profile is reported at atmospheric layers between 1100 mb and 300 mb. The horizontal resolution is 50 km.

    The CLIMCAPS algorithm uses an Optimal Estimation methodology and uses an a-priori first guess to start the process. A CLIMCAPS sounding is comprised of a set of parameters that characterizes the full atmospheric state and includes a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; carbon monoxide, methane, carbon dioxide, sulfur dioxide, nitrous oxide, and nitric acid.

    An AIRS level 2 granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.

    Access & Use Information

    Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

    Downloads & Resources

    References

    https://doi.org/10.3390/rs11101227
    https://doi.org/10.1109/TGRS.2012.2220369
    https://doi.org/10.1109/JSTARS.2017.2670504
    https://doi.org/10.1016/S0022-4073(97)00169-6
    https://doi.org/10.1109/TGRS.2002.808236
    https://doi.org/10.1029/2005/JD007020
    https://doi.org/10.5194/amt-13-4437-2020

    Dates

    Metadata Created Date February 22, 2025
    Metadata Updated Date February 22, 2025

    Metadata Source

    Harvested from nasa test json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date February 22, 2025
    Metadata Updated Date February 22, 2025
    Publisher Not provided
    Maintainer
    Identifier C1693440795-GES_DISC
    Data First Published 2002-08-31
    Language en-US
    Data Last Modified 2025-02-19
    Category Aqua, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 6c24264d-2753-4637-b2b8-9b7ccca89a18
    Harvest Source Id a73e0c30-4684-40ef-908e-d22e9e9e5f86
    Harvest Source Title nasa test json
    Homepage URL https://doi.org/10.5067/ILFPVBTDHTDL
    Metadata Type geospatial
    Old Spatial -180.0 -90.0 180.0 90.0
    Program Code 026:001
    Related Documents https://doi.org/10.3390/rs11101227, https://doi.org/10.1109/TGRS.2012.2220369, https://doi.org/10.1109/JSTARS.2017.2670504, https://doi.org/10.1016/S0022-4073(97)00169-6, https://doi.org/10.1109/TGRS.2002.808236, https://doi.org/10.1029/2005/JD007020, https://doi.org/10.5194/amt-13-4437-2020
    Source Datajson Identifier True
    Source Hash 2abab7f3b3fab2447e19a6da31a0abc43f591d45a86a1706496ccd8f7f028a73
    Source Schema Version 1.1
    Spatial
    Temporal 2002-08-30T00:00:00Z/2025-02-03T00:00:00Z

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