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作 者:Lei ZHU Zhiyong MENG Yonghui WENG Fuqing ZHANG
机构地区:[1]Key Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environmental Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science and Technology,Nanjing 210044,China [2]Laboratory for Climate and Ocean–Atmosphere Studies,Department of Atmospheric and Oceanic Sciences,School of Physics,Peking University,Beijing 100871,China [3]I.M.System Group(IMSG),at Environmental Modeling Center(EMC),NCEP,NWS,NOAA,College Park,MD 20740,USA [4]Department of Meteorology and Atmospheric Science,and Center for Advanced Data Assimilation and Predictability Techniques,The Pennsylvania State University,University Park,Pennsylvania 16802,USA
出 处:《Advances in Atmospheric Sciences》2022年第11期1859-1872,共14页大气科学进展(英文版)
基 金:supported by the Natural Science Foundation of China (Grant No. 41905096);supported by the Natural Science Foundation of China (Grant Nos. 42030604, 41875051, and 41425018)。
摘 要:Intensity forecasting is one of the most challenging aspects of tropical cyclone(TC) forecasting. This work examines the impact of assimilating high-resolution all-sky infrared radiance observations from geostationary satellite GOES-13 on the convection-permitting initialization and prediction of Hurricane Joaquin(2015) with an ensemble Kalman filter(EnKF)based on the Weather Research and Forecasting(WRF) model. Given that almost all operational global and regional models struggled to capture Hurricane Joaquin(2015)'s intensity, this study examines the potential in improving Joaquin's prediction when assimilating all-sky infrared radiances from GOES-13's water vapor channel. It is demonstrated that, after a few 3-hour cycles assimilating all-sky radiance, the WRF model was able to forecast reasonably well Joaquin's intensity,including its rapid intensification(RI). The improvement was largely due to a more realistic initial hurricane structure with a stronger, warmer, and more compact inner-core. Ensemble forecasts were used to further explore the important physical mechanisms driving the hurricane's RI. Results showed that the RI forecasts were greatly impacted by the initial inner-core vortex structure.
关 键 词:all-sky infrared radiance TC intensity ENKF inner-core structure
分 类 号:P457.8[天文地球—大气科学及气象学]
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