Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
  • Feedback

    • Sounder SIPS: AQUA AIRS IR + MW Level 2 CLIMCAPS: Cloud Cleared Radiances V2 at GES DISC

    Metadata Updated: April 10, 2025

    The CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) algorithm is used to analyze data from the AIRS (Atmospheric Infrared Sounder) and AMSU (Advanced Microwave Sounding Unit). The AIRS instrument is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. The AIRS in combination with the AMSU constitutes an innovative atmospheric sounding group of infrared and microwave sensors. The AIRS Standard 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.

    Cloud-Cleared Radiances contain calibrated, geolocated channel-by-channel AIRS infrared radiances (milliWatts/m2/cm-1/steradian) that would have been observed within each AMSU footprint if there were no clouds in the FOV.

    An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track for each of the approximate 2378 channels. 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. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    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

    Dates

    Metadata Created Date December 1, 2022
    Metadata Updated Date April 10, 2025

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 1, 2022
    Metadata Updated Date April 10, 2025
    Publisher Not provided
    Maintainer
    Identifier C1693440796-GES_DISC
    Data First Published 2002-08-31
    Language en-US
    Data Last Modified 2025-03-31
    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 b7d010a3-fe28-41bb-b513-e44926eddde8
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.5067/W0OHIT0RAM8O
    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
    Source Datajson Identifier True
    Source Hash 8bbc83ac1dfced780b9532ce6129b200f381131a6508c4d37a1d6d4ff81d421e
    Source Schema Version 1.1
    Spatial
    Temporal 2002-08-30T00:00:00Z/2022-01-17T00:00:00Z

    Didn't find what you're looking for? Suggest a dataset here.