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Consistency correction of echo intensity data for multiple radar systems and its application in quantitative estimation of typhoon precipitation

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Frontiers of Earth Science 2022年第1期16卷 99-108页

作者： Shuai ZHANG Jing HAN Bingke ZHAO Zhigang CHU Jie TANG Limin LIN Xiaoqin LU Jiaming YAN Shanghai Typhoon Institute China Meteorological AdministrationShanghai 200030Chin Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Key Laboratory for Aerosol-Cloud-Precipitation(China Meteorological Administration)Nanjing University of Information Science&TechnologyNanjing 210044China Hainan Institute of Meteorological Sciences Haikou 570203China key laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province Haikou 570203China fujian key laboratory of severe weather Fuzhou 350001China fujian key laboratory of Granular Computing and Application Minnan Normal UniversityZhangzhou 363000China

Calibration error is one of the primary sources of bias in echo intensity measurements by ground-based radar *** errors cause data discontinuity between adjacent radars and reduce the effectiveness of the radar *** Global Precipitation Measurement Kuband Precipitation Radar(GPM KuPR)has been shown to provide stable long-term *** this study,GPM KuPR observations were converted to S-band approximations,which were then matched spatially and temporally with ground-based radar *** measurements of stratiform precipitation below the melting layer collected by the KuPR during Typhoon Ampil were compared with those of multiple radar systems in the Yangtze River Delta to determine the deviations in the echo intensity between the KuPR and the ground-based radar *** echo intensity data collected by the ground-based radar systems was corrected using the KuPR observations as reference,and the correction results were verified by comparing them with rain gauge *** was found that after the correction,the consistency of the echo intensity measurements of the multiple radar systems improved significantly,and the precipitation estimates based on the revised ground-based radar observations were closer to the rain gauge measurements.

关键词： calibration error ground-based radar reflectivity correction precipitation estimates

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Rainfall forecast errors in different landfall stages of Super Typhoon Lekima (2019)

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Frontiers of Earth Science 2022年第1期16卷 34-51页

作者： Bin HE Zifeng YU Yan TAN Yan SHEN Yingjun CHEN Shanghai Typhoon Institute and Key Laboratory of Numerical Modeling for Tropical Cyclone of China Meteorological AdministrationShanghai 200030China Jiaxing Meteorological Bureau Jiaxing 314050China fujian key laboratory of severe weather Fuzhou 350001China National Meteorological Information Center of China Meteorological Administration Beijing 100081China Bureau of Meteorology Melbourne 3008Australia

The rainfall forecast performance of the Tropical Cyclone(TC)version Model of Global and Regional Assimilation PrEdiction System(GRAPESTCM)of the China Meteorological Administration for landfalling Super Typhoon Lekima(2019)is studied by using the object-oriented verification method of contiguous rain area(CRA).The major error sources and possible reasons for the rainfall forecast uncertainties in different landfall stages(including near landfall and moving further inland)are *** show that different performance and errors of rainfall forecast exist in the different TC *** the near landfall stage the asymmetric rainfall distribution is hard to be simulated,which might be related to the too strong forecasted TC intensity and too weak vertical wind shear *** Lekima moves further inland,the rain pattern and volume errors gradually *** Equitable Threat Score of the 24 h forecasted rainfall over 100 mm declines quickly with the time-length over *** diagnostic analysis shows that there exists an interaction between the TC and the mid-latitude westerlies,but too weak frontogenesis is *** results of this research indicate that for the current numerical model,the forecast ability of persistent heavy rainfall is very limited,especially when the weakened landing TC moves further inland.

关键词： landing tropical cyclone rainfall forecast verification contiguous rain area Lekima

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Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic

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Advances in Atmospheric Sciences 2022年第11期39卷 1941-1955页

作者： Chunlei LIU Yazhu YANG Xiaoqing LIAO Ning CAO Jimmy LIU Niansen OU Richard P.ALLAN Liang JIN Ni CHEN Rong ZHENG South China Sea Institute of Marine Meteorology Guangdong Ocean UniversityZhanjiang 524088China CMA-GDOU Joint laboratory for Marine Meteorology Guangdong Ocean UniversityZhanjiang 524088China College of Ocean and Meteorology Guangdong Ocean UniversityZhanjiang 524088China Department of Mathematics Trinity CollegeUniversity of CambridgeCambridge CB21TQUK Department of Meteorology University of ReadingReading RG66BBUK National Centre for Earth Observation Reading RG66BBUK

The change in ocean net surface heat flux plays an important role in the climate *** is closely related to the ocean heat content change and ocean heat transport,particularly over the North Atlantic,where the ocean loses heat to the atmosphere,affecting the AMOC(Atlantic Meridional Overturning Circulation)variability and hence the global ***,the difference between simulated surface heat fluxes is still large due to poorly represented dynamical processes involving multiscale interactions in model *** order to explain the discrepancy of the surface heat flux over the North Atlantic,datasets from nineteen AMIP6 and eight highresSST-present climate model simulations are analyzed and compared with the DEEPC(Diagnosing Earth's Energy Pathways in the Climate system)*** an indirect check of the ocean surface heat flux,the oceanic heat transport inferred from the combination of the ocean surface heat flux,sea ice,and ocean heat content tendency is compared with the RAPID(Rapid Climate Change-Meridional Overturning Circulation and Heat flux array)observations at 26°N in the *** AMIP6 simulations show lower inferred heat transport due to less heat loss to the *** heat loss from the AMIP6 ensemble mean north of 26°N in the Atlantic is about10 W m–2 less than DEEPC,and the heat transport is about 0.30 PW(1 PW=1015 W)lower than RAPID and *** model horizontal resolution effect on the discrepancy is also *** show that by increasing the resolution,both surface heat flux north of 26°N and heat transport at 26°N in the Atlantic can be improved.

关键词： ocean net surface heat flux ocean heat transport discrepancy simulations observations

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Assimilating FY-4A AGRI Radiances with a Channel-Sensitive Cloud Detection Scheme for the Analysis and Forecasting of Multiple Typhoons

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Advances in Atmospheric Sciences 2024年第5期41卷 937-958页

作者： Feifei SHEN Aiqing SHU Zhiquan LIU Hong LI Lipeng JIANG Tao ZHANG Dongmei XU key laboratory of Meteorological Disaster Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing 210044China Shanghai Typhoon Institute China Meteorological AdministrationShanghai 200030China China Meteorological Administration Basin Heavy Rainfall key laboratory/Hubei key laboratory for Heavy Rain Monitoring and Warning Research Institute of Heavy RainChina Meteorological AdministrationWuhan 430205China National Center for Atmospheric Research Boulder 80307COUSA State key laboratory of severe weather Chinese Academy of Meteorological SciencesBeijing 100081China National Meteorological Information Center Beijing 100081China fujian key laboratory of severe weather and key laboratory of Straits severe weather China Meteorological AdministrationFuzhou 350001China

This paper presents an attempt at assimilating clear-sky FY-4A Advanced Geosynchronous Radiation Imager(AGRI)radiances from two water vapor channels for the prediction of three landfalling typhoon events over the West Pacific Ocean using the 3DVar data assimilation(DA)method along with the WRF model.A channel-sensitive cloud detection scheme based on the particle filter(PF)algorithm is developed and examined against a cloud detection scheme using the multivariate and minimum residual(MMR)algorithm and another traditional cloud mask–dependent cloud detection *** show that both channel-sensitive cloud detection schemes are effective,while the PF scheme is able to reserve more pixels than the MMR scheme for the same *** general,the added value of AGRI radiances is confirmed when comparing with the control experiment without AGRI ***,it is found that the analysis fields of the PF experiment are mostly improved in terms of better depicting the typhoon,including the temperature,moisture,and dynamical *** typhoon track forecast skill is improved with AGRI radiance DA,which could be explained by better simulating the upper *** impact of assimilating AGRI radiances on typhoon intensity forecasts is *** the other hand,improved rainfall forecasts from AGRI DA experiments are found along with reduced errors for both the thermodynamic and moisture fields,albeit the improvements are limited.

关键词： FY-4A AGRI radiance particle filter multiple typhoons data assimilation numerical weather prediction

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