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Impact of Assimilating CYGNSS Data on Tropical Cyclone Analyses and Forecasts in a Regional OSSE Framework

机译:CYGNSS数据同化对区域OSSE框架中热带气旋分析和预报的影响

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The impact of assimilating ocean surface wind observations from the Cyclone Global Navigation Satellite System (CYGNSS) is examined in a high-resolution Observing System Simulation Experiment (OSSE) framework for tropical cyclones (TCs). CYGNSS is a planned National Aeronautics and Space Administration constellation of microsatellites that utilizes existing GNSS satellites to retrieve surface wind speed. In the OSSE, CYGNSS wind speed data are simulated using output from a nature run as truth. In a case study using the regional Hurricane Weather Research and Forecasting modeling system and the Gridpoint Statistical Interpolation data assimilation scheme, analyses of TC position, structure, and intensity, together with large-scale variables, are improved due to the assimilation of the additional surface wind data. These results indicate the potential importance of CYGNSS ocean surface wind speed data and furthermore that the assimilation of directional information would add further value to TC analyses and forecasts.
机译:在高分辨率热带气旋观测系统模拟实验(OSSE)框架中,研究了吸收来自旋风全球导航卫星系统(CYGNSS)的海面风的影响。 CYGNSS是计划中的美国国家航空航天局微卫星星座,该星座利用现有的GNSS卫星来检索地表风速。在OSSE中,使用自然运行的输出模拟CYGNSS风速数据。在使用区域飓风天气研究和预报建模系统和Gridpoint统计插值数据同化方案的案例研究中,由于附加表面的同化,改善了TC位置,结构和强度以及大规模变量的分析风数据。这些结果表明了CYGNSS海面风速数据的潜在重要性,而且方向信息的同化将为TC分析和预报增加更多价值。

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