Anti-rainfall wind speed inversion method based on same satellite platform GNSS-R and double-frequency scatterometer

By using the GNSS-R satellite platform and a dual-frequency scatterometer for collaborative observation, and using the rain-resistant wind speed inverted by GNSS-R as the true value, a dual-band wind speed inversion model was trained. This solved the problem of decreased wind speed inversion accuracy of the satellite scatterometer under rainfall conditions, and achieved high-precision wind field monitoring with full coverage.

CN122113618APending Publication Date: 2026-05-29BEIJING SATELLITE INFORMATION ENG RES INST
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Patent Information

Application Number
CN202610207500.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-12
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Under rainfall conditions, the accuracy of satellite scatterometer wind speed inversion decreases and full coverage cannot be achieved. It relies on external asynchronous data, which leads to errors. It also lacks a high-precision independent source of true wind speed data. Existing methods and point correction techniques have failed to effectively solve these specific problems.

Method used

By using the GNSS-R satellite platform and a dual-frequency scatterometer for collaborative observation, the rain-resistant wind speed retrieved by GNSS-R was used as the ground truth to train a dual-band wind speed retrieval model, which was then applied across the entire scatterometer swath to achieve high-precision wind speed retrieval.

Benefits of technology

It has achieved wide-swath, high-precision sea surface wind field inversion under rainfall conditions, improving the monitoring capabilities for extreme weather and providing high-quality data support.

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Abstract

The invention discloses an anti-rainfall wind speed inversion method based on the same satellite platform GNSS-R and a double-frequency scatterometer, and the method comprises the steps: building a dual-waveband rainfall detection model through the data of the same platform double-frequency scatterometer and synchronous rainfall data, and recognizing a rainfall region in the observation breadth of the scatterometer; in the identified rainfall area, screening observation points which are in space-time coincidence with the GNSS-R of the same platform, and training a dual-band wind speed inversion model special for rainfall conditions by taking the anti-rainfall wind speed inverted by the GNSS-R as a reference true value; the trained model is applied to the observation breadth of the whole scatterometer, wind speed correction is carried out on units judged to be rainfall, inversion is carried out on non-rainfall units through a standard model, and therefore a sea surface wind field product under the high-precision and full-coverage rainfall condition is generated. According to the method, the anti-interference characteristic of the GNSS-R under the rainfall condition, the large-breadth detection capability of the double-frequency scatterometer and the advantage of synchronous observation time of the same platform are fully utilized, and the precision, reliability and space integrity of a wide sea surface wind field product under complex weather are improved.
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