Ocean surface wind vectors (OVW) from scatterometers have been proved to be of great benefit to marine weather
analysis and numerical model prediction. Conventional single-frequency scatterometers are capable to measure
substantially accurate wind fields in clear atmospheric conditions, whereas winds obtained in marine extreme weather
conditions are not so satisfying due to the high wind speed saturation effect and the rain perturbation. Therefore, a dualfrequency
wind field measuring radar (WIFIR) to be onboard FengYun-3E is being predesigned to obtain relatively
accurate wind fields in all weather conditions, which will compensate for the single-frequency shortcomings.
The purpose of this study was to investigate the potential ability of WIFIR to measure OVW in tropical cyclones. A
high-fidelity forward model was developed to simulate the sea surface normalize radar cross sections (NRCS) measured
by WIFIR. The wind and rain rate fields used to drive the model are generated by UWNMS cloud model for Hurricane
Ivan in 2004. High-wind GMFs and a theoretical rain model, which includes attenuation and volume scattering effect,
have been utilized to describe the forward model. Based on the simulation results, the impact of rain on radar
measurements and a dual-frequency retrieval algorithm were studied. The dual-frequency method was shown to have the
ability to obtain information of rain rates up to 30mm/hr, and acquire more accurate wind vectors than single-frequency
measurements. This method will be more effective to improve wind retrieval accuracy in tropical cyclones with the
synchronous observation of microwave humidity sounder (MWHS) aboard FY-3 satellite.
Spaceborne microwave scatterometers have successfully provided global ocean surface wind field for two decades. However current scatterometers still cannot satisfy the requirement of achieve ocean wind vectors in nearly all weather and all wind conditions. A new microwave scatterometer - the WindRadar with dual frequency onboard Chinese FengYun-3E meteorological satellite is being developed to attempt to overcome their shortcomings. This paper introduces the objectives of the WindRadar, then describes the design of its some key system characteristics, and the performance of the WindRadar is also analyzed at the end.
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