摘要
Gaofen-3(GF-3)is the first Chinese spaceborne multi-polarization synthetic aperture radar(SAR)instrument at C-band(5.43 GHz).In this paper,we use data collected from GF-3 to observe Super Typhoon Lekima(2019)in the East China Sea.Using a VH-polarized wide ScanSAR(WSC)image,ocean surface wind speeds at 100m horizontal resolution are obtained at 21:56:59 UTC on 8 August 2019,with the maximum wind speed,38.9 m·s^(-1).Validating the SAR-retrieved winds with buoymeasured wind speeds,we find that the root mean square error(RMSE)is 1.86 m·s^(-1),and correlation coefficient,0.92.This suggests that wind speeds retrieved from GF-3 SAR are reliable.Both the European Centre for MediumRange Weather Forecasts(ECMWF)fine grid operational forecast products with spatial resolution,and China Global/Regional Assimilation and Prediction Enhance System(GRAPES)have good performances on surface wind prediction under weak wind speed condition(<24 m·s^(-1)),but underestimate the maximum wind speed when the storm is intensified as a severe tropical storm(>24m·s^(-1)).With respect to SAR-retrieved wind speeds,the RMSEs are 5.24 m·s^(–1) for ECMWF and 5.17 m·s^(–1) for GRAPES,with biases of 4.16 m·s^(–1) for ECMWF and 3.84 m·s^(-1)for GRAPES during Super Typhoon Lekima(2019).
基金
supported in part by the Natural Science Foundation of Zhejiang Province(No.LQ21D060001)
the Fengyun Application Pioneering Project(No.FY-APP-2021.0105)
the Science and Technology Project of Zhejiang Meteorological Bureau(No.2021YB07)
the Innovation and Development Project of China Meteorological Administration(No.CXFZ2022J040)
the National Key R&D Program of China(No.2018YFC1506404)
the Basic Public Welfare Research Program of Zhejiang Province(No.LGF18D050001)
the Climate Change Special Program of China Meteorological Administration(No.CCSF202036)
the Key Research and Development Program of Zhejiang Province(No.2021C02036)
the Research Program from Science and the Technology Committee of Shanghai(No.19dz1200101)
the Shanghai Typhoon Institute(No.2021JB05)
the open fund of State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,MNR(No.QNHX2012).