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Data for the manuscript "Object-based Verification of GSI-based EnKF and Hybrid En3DVar Radar Data Assimilation and Convection-Allowing Forecasts within a Warn-on-Forecast Framework (WAF-D-20-0180)"

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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FGK7RE
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资源简介:
The MRMS composite reflectivity data and cyclonic azimuthal wind shear data used in this study and the object verification result for each experiment for the manuscrpt " (Object-based Verification of GSI-based EnKF and Hybrid En3DVar Radar Data Assimilation and Convection-Allowing Forecasts within a Warn-on-Forecast Framework (WAF-D-20-0180)", which has been submiited to Weather and Forecasting.

本研究使用的多雷达多传感器系统(Multi-Radar/Multi-Sensor System,MRMS)组合反射率数据、气旋性方位风切变数据,以及对应已投稿至《天气与预报》的论文《基于对象的GSI格点统计插值(Gridpoint Statistical Interpolation,GSI)集合卡尔曼滤波(Ensemble Kalman Filter,EnKF)与混合集合三维变分(Hybrid Ensemble 3D-Var,En3DVar)雷达资料同化及预警先行预报框架内对流允许预报的验证(WAF-D-20-0180)》中各试验的基于对象的验证结果。
提供机构:
Harvard Dataverse
创建时间:
2020-09-29
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