Total Electron Content Retrieved From L‐Band Radiometers and Potential Improvements to the IGS Model

In recent years, several L‐band microwave instruments have been launched into Earth's orbit to measure soil moisture and ocean salinity (e.g., Soil Moisture and Ocean Salinity [SMOS], Aquarius, and Soil Moisture Active/Passive [SMAP]). As the microwave signal travels through the ionosphere, the...

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Veröffentlicht in:Radio science 2018-04, Vol.53 (4), p.525-534
Hauptverfasser: Soldo, Yan, Hong, Liang, El‐Nimri, Salem, Le Vine, David M.
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Sprache:eng
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Zusammenfassung:In recent years, several L‐band microwave instruments have been launched into Earth's orbit to measure soil moisture and ocean salinity (e.g., Soil Moisture and Ocean Salinity [SMOS], Aquarius, and Soil Moisture Active/Passive [SMAP]). As the microwave signal travels through the ionosphere, the polarization vector rotates (Faraday rotation) and it is possible to estimate the total electron content (TEC) along the path by measuring this change. A comparison is presented of the TEC retrieved from Aquarius and SMAP over the ocean with the values provided by the IGS (International Global Navigation Satellite System Service (GNSS)). The TEC retrieved from Aquarius and SMAP measurements show good agreement with each other and, on a global scale, are in agreement with the TEC provided by the IGS. However, there are cases in which the TEC from the two satellite sensors are in good agreement with each other but differ significantly from the IGS TEC. The comparison suggests that the L‐band instruments are a reliable source of TEC over the ocean and could be a valuable supplementary source of TEC values that could be assimilated in the IGS models, especially over the ocean, where GNSS ground stations are sparse. Key Points Vertical total electron content (VTEC) is retrieved using measurements from the Aquarius and the Soil Moisture Active/Passive (SMAP) satellite missions Good agreement is observed between these two data sets VTEC values predicted by the International GNSS Services (IGS) model seem to miss or only partially capture some of the features highlighted by the two satellite missions
ISSN:0048-6604
1944-799X
DOI:10.1002/2018RS006530