Assessing the impact of pre‐GPM microwave precipitation observations in the Goddard WRF ensemble data assimilation system
Assessing the impact of pre‐GPM microwave precipitation observations in the Goddard WRF ensemble data assimilation system
复制标题
DOI：
10.1002/qj.2215
复制
发表时间：
2014-04
影响因子：
8.9
通讯作者：
P. Chambon;Sara Q. Zhang;A. Hou;M. Zupanski;S. Cheung
中科院分区：
文献类型：
--
作者：
P. Chambon;Sara Q. Zhang;A. Hou;M. Zupanski;S. Cheung
即将进行的全球降水测量任务将从一组卫星中提供下一代降水观测。由于自然降水在云分辨尺度上具有很大的变异性和较低的可预报性，降水资料对中尺度数值天气预报技术的影响在很大程度上取决于背景和观测误差的特征以及非线性云/降水物理在NWP资料同化系统中的表现。
The forthcoming Global Precipitation Measurement (GPM) Mission will provide next‐generation precipitation observations from a constellation of satellites. Since precipitation by nature has large variability and low predictability at cloud‐resolving scales, the impact of precipitation data on the skills of mesoscale numerical weather prediction (NWP) is largely affected by the characterization of background and observation errors and the representation of nonlinear cloud/precipitation physics in an NWP data assimilation system.