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Assimilation of ocean surface wind Data by the HY-2B Satellite in GRAPES: Impacts on Analyses and Forecasts

Advances in Atmospheric Sciences 2023年第1期40卷 44-61页

作者： Jincheng WANG Xingwei JIANG Xueshun SHEN Youguang ZHANG Xiaomin WAN Wei HAN Dan WANG CMA Earth System Modeling and Prediction Center China Meteorological AdministrationBeijing 100081China National Meteorology Center China Meteorological AdministrationBeijing 100081China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China National Satellite ocean Application Service Beijing 100081China

The ocean surface wind(OSW)data retrieved from microwave scatterometers have high spatial accuracy and represent the only wind data assimilated by global numerical models on the ocean surface,thus playing an important role in improving the forecast skills of global medium-range weather prediction *** improve the forecast skills of the Global/Regional Assimilation and Prediction System Global Forecast System(GRAPES_GFS),the HY-2B OSW data is assimilated into the GRAPES_GFS four-dimensional variational assimilation(4DVAR)***,the impacts of the HY-2B OSW data assimilation on the analyses and forecasts of GRAPES_GFS are analyzed based on one-month assimilation cycle *** results show that after assimilating the HY-2B OSW data,the analysis errors of the wind fields in the lower-middle troposphere(1000-600 hPa)of the tropics and the southern hemisphere(SH)are significantly reduced by an average rate of about 5%.The impacts of the HY-2B OSW data assimilation on the analysis fields of wind,geopotential height,and temperature are not solely limited to the boundary layer but also extend throughout the entire troposphere after about two days of cycling ***,assimilating the HY-2B OSW data can significantly improve the forecast skill of wind,geopotential height,and temperature in the troposphere of the tropics and SH.

关键词： HY-2B ocean surface wind 4DVAR GRAPES-GFS medium-range weather forecast

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Annual and Interannual Variability of Scatterometer ocean surface wind over the South China Sea

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Journal of ocean University of China 2014年第2期13卷 191-197页

作者： ZHANG Guosheng XU Qing GONG Zheng CHENG Yongcun WANG Lei JI Qiyan Key Laboratory of Coastal Disasters and Defence Ministry of EducationHohai University College of Harbor Coastal and Offshore EngineeringHohai University State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University National Space Institute Technical University of Denmark

To investigate the annual and interaunual variability of ocean surface wind over the South China Sea （SCS）, the vector empirical orthogonal function （VEOF） method and the Hilbert-Huang transform （HHT） method were employed to analyze a set of combined satellite scatterometer wind data during the period from December 1992 to October 2009. The merged wind data were generated from European Remote Sensing Satellite （ERS）-1/2 Scatterometer, NASA Scatterometer （NSCAT） and NASA＇s Quick Scatterometer （QuikSCAT） wind products. The first VEOF mode corresponds to a winter-summer mode which accounts for 87.3% of the total variance and represents the East Asian monsoon features. The second mode of VEOF corresponds to a spring-autumn oscil- lation which accounts for 8.3% of the total variance. To analyze the interannual variability, the annual signal was removed from the wind data set and the VEOFs of the residuals were calculated. The temporal mode of the ftrst intcrannual VEOF is correlated with the Southern Oscillation Index （SOI） with a four-month lag. The second temporal interannual VEOF mode is correlated with the SOI with no time lag. The time series of the two interannual VEOFs were decomposed using the HI-IT method and the results also show a correlation between the interannual variability and El Nino-Southern Oscillation （ENSO） events.

关键词： ocean surface wind annual and interannual variability scatterometer South China Sea

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Applications of AMSR-E Measurements for Tropical Cyclone Predictions PartⅠ: Retrieval of Sea surface Temperature and wind Speed

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Advances in Atmospheric Sciences 2008年第2期25卷 227-245页

作者： Banghua YAN Fuzhong WENG NOAA Joint Center for Satellite Data Assimilation Camp Springs MD USA NOAA/NESDIS/Center for Satellite Applications and Research Camp Springs MD USA

Existing satellite microwave algorithms for retrieving Sea surface Temperature （SST） and wind （SSW） are applicable primarily for non-raining cloudy conditions. With the launch of the Earth Observing System （EOS） Aqua satellite in 2002, the Advanced Microwave Scanning Radiometer （AMSRoE） onboard provides some unique measurements at lower frequencies which are sensitive to ocean surface parameters under adverse weather conditions. In this study, a new algorithm is developed to derive SST and SSW for hurricane predictions such as hurricane vortex analysis from the AMSRoE measurements at 6.925 and 10.65 GHz. In the algorithm, the effects of precipitation emission and scattering on the measurements are properly taken into account. The algorithm performances are evaluated with buoy measurements and aircraft dropsonde data. It is found that the root mean square （RMS） errors for SST and SSW are about 1.8 K and 1.9 m s^- 1, respectively, when the results are compared with the buoy data over open oceans under precipitating clouds （e.g., its liquid water path is larger than 0.5 mm）, while they are 1.1 K for SST and 2.0 m s^-1 for SSW, respectively, when the retrievals are validated against the dropsonde measurements over warm oceans. These results indicate that our newly developed algorithm can provide some critical surface information for tropical cycle predictions. Currently, this newly developed algorithm has been implemented into the hybrid variational scheme for the hurricane vortex analysis to provide predictions of SST and SSW fields.

关键词： ocean surface temperature ocean surface wind AMSR-E hurricane vortex analysis

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Tropical Cyclone ocean winds and Structure Parameters Retrieved from Cross-Polarized SAR Measurements

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Journal of Meteorological Research 2024年第5期38卷 937-953页

作者： He FANG Gaofeng FAN William PERRIE Zhengquan LI Chi ZHANG Guosheng ZHANG Jingsong YANG Zhejiang Climate Centre Hangzhou 310057China Key Laboratory of Meteorological Disaster Ministry of Education(KLME)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing 210044China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081China Fisheries and oceans Canada Bedford Institute of OceanographyDartmouthNova ScotiaNS B2Y 4A2Canada Zhejiang Meteorological Information Network Centre Hangzhou 310057China State Key Laboratory of Satellite ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China

Spaceborne synthetic aperture radar(SAR)can provide unique capabilities to measure ocean surface winds under tropical cyclones(TCs),on synoptic scales,and at a very high spatial *** this paper,we first discuss the accuracy and reliability of SAR-retrieved TC marine *** results show that wind retrievals from SAR images are in good agreement with Stepped Frequency Microwave Radiometer(SFMR)measurements,with root-mean-square error(RMSE)and correlation coefficient(CC)of 3.52 m s^(−1) and 0.91,*** on the marine winds retrieved from SAR images,a relatively simple method is applied to extract the storm intensity(maximum wind speed)and wind radii(R34,R50,and R64)from 234 cross-polarized SAR images,in the Northwest Pacific ocean from 2015 to *** SAR-retrieved TC wind radii and intensities are compared with the best-track reports,with RMSEs for R34,R50,and R64 being 48.32,41.88,and 38.51 km,and CCs being 0.87,0.83,and 0.65,*** terms of TC intensity,the RMSE and bias between SAR estimates and best-track data are 7.32 and 0.38 m s^(−1),*** TC Surigae(2023),we found that employing a combination of multiplatform SARs,acquired within a short time interval,has the potential to simultaneously measure the intensity and wind structure *** addition,for a storm with a long life cycle,the multitemporal synergistic SARs can be used to investigate fine-scale features of the TC ocean winds,as well as the evolution of TC surface wind intensities and wind structures.

关键词： tropical cyclone synthetic aperture radar(SAR) ocean surface wind tropical cyclone structure wind radii

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