This dataset contains Commercial (Comm) Radio Occultation (RO) environmental data from UCAR using Spire Global Subsidiary data, which is an established method for remote sounding of the atmosphere. The technique uses an instrument in low-Earth orbit (LEO) to track radio signals from Global Navigation Satellite System (GNSS) transmitters as they rise or set through the atmosphere. The occulting atmosphere refracts or bends the radio signals, and given the precise positions of both satellites, the bending angle can be deduced from the time delay of the signal. Collecting these measurements for a full occultation through the atmosphere provides a vertical profile of bending angles, from which profiles of physical quantities such as temperature, humidity, and ionospheric electron density can be retrieved. These data primarily feed numerical weather prediction (NWP) models that support weather forecasts, and also support space weather analysis/prediction at NOAA.
About this Dataset
| Title | Commercial (Comm) Radio Occultation (RO) Environmental Data Record (EDR) from UCAR Using Spire Global Subsidiary Data |
|---|---|
| Description | This dataset contains Commercial (Comm) Radio Occultation (RO) environmental data from UCAR using Spire Global Subsidiary data, which is an established method for remote sounding of the atmosphere. The technique uses an instrument in low-Earth orbit (LEO) to track radio signals from Global Navigation Satellite System (GNSS) transmitters as they rise or set through the atmosphere. The occulting atmosphere refracts or bends the radio signals, and given the precise positions of both satellites, the bending angle can be deduced from the time delay of the signal. Collecting these measurements for a full occultation through the atmosphere provides a vertical profile of bending angles, from which profiles of physical quantities such as temperature, humidity, and ionospheric electron density can be retrieved. These data primarily feed numerical weather prediction (NWP) models that support weather forecasts, and also support space weather analysis/prediction at NOAA. |
| Modified | 2025-11-20T02:55:39.945Z |
| Publisher Name | N/A |
| Contact | N/A |
| Keywords | Earth Science > Sun-Earth Interactions > Ionosphere/Magnetosphere Dynamics , Earth Science > Atmosphere > Atmospheric Temperature > Upper Air Temperature > Vertical Profiles , Atmospheric Composition , Upper Atmosphere , Surface , Geographic Region > Global , Vertical Location > Ionosphere , GNSS-RO RECEIVER > Global Navigation Satellite System Radio Occultation (CLARREO) , DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce , UCAR/COSMIC/CDAAC > COSMIC Data Analysis and Archive Center, Constellation Observing System for Meteorology, Ionosphere and Climate, University Corporation for Atmospheric Research , NOAA Central Computer Facility , Low Earth Orbit (LEO) , CubeSats , climatologyMeteorologyAtmosphere |
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