In this study, Fengyun-3 D(FY-3 D) Micro Wave Radiation Imager(MWRI) radiance data were directly assimilated into the Global/Regional Assimilation and Pr Ediction System(GRAPES) four-dimensional variational(4 DVar) sy...In this study, Fengyun-3 D(FY-3 D) Micro Wave Radiation Imager(MWRI) radiance data were directly assimilated into the Global/Regional Assimilation and Pr Ediction System(GRAPES) four-dimensional variational(4 DVar) system. Quality control procedures were developed for MWRI applications by using algorithms from similar microwave instruments. Compared with the FY-3 C MWRI, the bias of FY-3 D MWRI observations did not show a clear node-dependent difference from the numerical weather prediction background simulation. A conventional bias correction approach can therefore be used to remove systematic biases before the assimilation of data. After assimilating the MWRI radiance data into GRAPES, the geopotential height and humidity analysis fields were improved relative to the control experiment. There was a positive impact on the location of the subtropical high, which led to improvements in forecasts of the track of Typhoon Shanshan.展开更多
This corrigendum is to report a figure error in Xiao et al.(2020)entitled“Impact of FY-3D MWRI radiance assim-ilation in GRAPES 4DVar on forecasts of Typhoon Shanshan.”In Xiao et al.(2020),the green lines for CTL2 a...This corrigendum is to report a figure error in Xiao et al.(2020)entitled“Impact of FY-3D MWRI radiance assim-ilation in GRAPES 4DVar on forecasts of Typhoon Shanshan.”In Xiao et al.(2020),the green lines for CTL2 and CTL3 in Figs.8b,c were mistakenly plotted the same as that(CTLI)in Fig.8a.Now,they are corrected in the figure(Figs.8b,c)below;i.e.,the green lines are different now.展开更多
基金Supported by the National Natural Science Foundation of China(41675108)National Key Research and Development Program(2018YFC1506700)Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK0105)。
文摘In this study, Fengyun-3 D(FY-3 D) Micro Wave Radiation Imager(MWRI) radiance data were directly assimilated into the Global/Regional Assimilation and Pr Ediction System(GRAPES) four-dimensional variational(4 DVar) system. Quality control procedures were developed for MWRI applications by using algorithms from similar microwave instruments. Compared with the FY-3 C MWRI, the bias of FY-3 D MWRI observations did not show a clear node-dependent difference from the numerical weather prediction background simulation. A conventional bias correction approach can therefore be used to remove systematic biases before the assimilation of data. After assimilating the MWRI radiance data into GRAPES, the geopotential height and humidity analysis fields were improved relative to the control experiment. There was a positive impact on the location of the subtropical high, which led to improvements in forecasts of the track of Typhoon Shanshan.
文摘This corrigendum is to report a figure error in Xiao et al.(2020)entitled“Impact of FY-3D MWRI radiance assim-ilation in GRAPES 4DVar on forecasts of Typhoon Shanshan.”In Xiao et al.(2020),the green lines for CTL2 and CTL3 in Figs.8b,c were mistakenly plotted the same as that(CTLI)in Fig.8a.Now,they are corrected in the figure(Figs.8b,c)below;i.e.,the green lines are different now.
