Operational Implementation of the 1D+3D-Var Assimilation Method of Radar Reflectivity Data in the AROME Model
Operational Implementation of the 1D+3D-Var Assimilation Method of Radar Reflectivity Data in the AROME Model
复制标题
雷达反射率数据1D 3D-Var同化方法在AROME模型中的操作实现
DOI：
10.1175/mwr-d-13-00230.1
复制
发表时间：
2014
影响因子：
3.2
通讯作者：
J. Mahfouf
中科院分区：
文献类型：
--
作者：
Éric Wattrelot;O. Caumont;J. Mahfouf
摘要本文介绍了非静力有限区域模式中尺度业务研究应用（AROME）在业务背景下的雷达反射率数据同化试验的结果。一维（1D）贝叶斯反演的相对湿度廓线，然后采用三维变分同化（3D-Var）技术。文中介绍了几种原始反射率资料的预处理方法，并对非雨信号在同化中的应用进行了广泛的讨论和举例说明。这种两步方法允许作者建立一个筛选程序，考虑到从一维贝叶斯检索的结果的评价。特别地，通过将伪分析的反射率与观察到的反射率进行比较来检查1D检索。此外，在将相对湿度伪观测值与其他观测值同化之前，还要求反射率新值与一维相对湿度增量之间具有物理上的一致性。
AbstractThis paper presents results from radar reflectivity data assimilation experiments with the nonhydrostatic limited-area model Application of Research to Operations at Mesoscale (AROME) in an operational context. A one-dimensional (1D) Bayesian retrieval of relative humidity profiles followed by a three-dimensional variational data assimilation (3D-Var) technique is adopted. Several preprocessing procedures of raw reflectivity data are presented and the use of the nonrainy signal in the assimilation is widely discussed and illustrated. This two-step methodology allows the authors to build up a screening procedure that takes into account the evaluation of the results from the 1D Bayesian retrieval. In particular, the 1D retrieval is checked by comparing a pseudoanalyzed reflectivity to the observed reflectivity. Additionally, a physical consistency between the reflectivity innovations and the 1D relative humidity increments is imposed before assimilating relative humidity pseudo-observations with oth...