Regression modeling of finite field and anti-electromagnetic design for the ocean surface wind speed measurements of the FY-3C microwave imager

Dawei An; Feng Lu; Fangli Dou; Peng Zhang

doi:10.1117/12.2068624

Translator Disclaimer

18 November 2014 Regression modeling of finite field and anti-electromagnetic design for the ocean surface wind speed measurements of the FY-3C microwave imager

Dawei An, Feng Lu, Fangli Dou, Peng Zhang

Author Affiliations +

Proceedings Volume 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V; 92650F (2014) https://doi.org/10.1117/12.2068624
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

The purpose of this study is to select a suitable ocean wind inversion method for FY-3C (MWRI). Based on the traditional empirical model of sea surface wind speed inversion, and in the case of small sample size of FY-3C satellite load regression analysis, this paper analyzes the channel differences between the FY-3C satellite microwave radiation imager (MWRI) and TMI onboard the TRMM. The paper also analyzes the influence of these differences on the channel in terms of receiving temperature, including channel frequency f, sensitivity ΔK and scaling precision K. Then, the limited range of new model coefficient regression analysis is determined, the regression methods of the finite field are proposed, and the empirical model of wind speed inversion applicable to MWRI is obtained, The method corrected by 2014 FY3C observation data and buoy data, and then by anti-electromagnetic interference geostationary communications satellite designed to fit in the FY-3C (MWRI). which achieves strong results. Compared to the TAO buoy data, the RMS of the new model is 1.18 m/s. In addition, the schematic diagram of the global ocean surface wind speed inversion is provided.1

Citation Download Citation

Dawei An, Feng Lu, Fangli Dou, and Peng Zhang "Regression modeling of finite field and anti-electromagnetic design for the ocean surface wind speed measurements of the FY-3C microwave imager", Proc. SPIE 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, 92650F (18 November 2014); https://doi.org/10.1117/12.2068624

ACCESS THE FULL ARTICLE