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Impact of Doppler Wind Lidar Data on Hurricane Prediction

机译:多普勒风激光雷达数据对飓风预测的影响

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One of the most important applications of a space-based Doppler Wind Lidar (DWL) would be to improve atmospheric analyses and weather forecasting. Since the mid-1980s, Observing System Simulation Experiments (OSSEs) have been conducted to evaluate the potential impact of space-based DWL data on numerical weather prediction (NWP). All of these OSSEs have shown significant beneficial impact on global analyses and forecasts. In more recent years, a limited number of OSSEs have been conducted to evaluate the potential impact of DWL data on hurricane forecasting and to also evaluate the impact of real airborne DWL observations. These latest studies suggest that DWL can complement existing hurricane observations effectively and should contribute to improved hurricane track and intensity forecasting.
机译:天基多普勒测风激光雷达(DWL)的最重要应用之一就是改善大气分析和天气预报。自1980年代中期以来,已经进行了观测系统模拟实验(OSSE),以评估天基DWL数据对数值天气预报(NWP)的潜在影响。所有这些OSSE对全球分析和预测都显示出显着的有益影响。近年来,已经进行了少量的OSSE,以评估DWL数据对飓风预报的潜在影响,并评估实际机载DWL观测值的影响。这些最新研究表明,DWL可以有效补充现有的飓风观测资料,并应有助于改善飓风航迹和强度预报。

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