Impact of non-uniform beam filling on spaceborne cloud and precipitation radar retrieval algorithms
Impact of non-uniform beam filling on spaceborne cloud and precipitation radar retrieval algorithms
复制标题
非均匀波束填充对星载云和降水雷达反演算法的影响
DOI：
--
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Z. Haddad
中科院分区：
文献类型：
--
作者：
S. Tanelli;G. Sacco;S. Durden;Z. Haddad
在本报告中，我们将讨论星载云和降水雷达的分类和检索算法的性能，例如全球降水测量使命[1]双频降水雷达（GPM/DPR）[2]，以及气溶胶/云/生态系统（ACE）[1]使命和相关概念的概念雷达。星载雷达测量数据的模拟来自第二代机载降水雷达（APR-2，[3]）观测数据，或来自通过美国航天局地球观测系统模拟器套件（NEOS 3）中的仪器模拟器获得的大气模型输出数据。这两种方法占三维性质的散射场的分辨率小于正在考虑的星载雷达。我们将集中在光束内的水凝物的字段的非均匀性的影响。我们还将讨论识别和减轻这种情况的方法的性能，以及由此产生的检索精度的提高。在这项研究中分析的分类和检索算法是那些来自APR-2的套件的处理和检索算法（ASPRA），这里广义操作的任意一组雷达配置参数，研究星载云和降水雷达的预期性能。该演示文稿将突出哪些发现扩展到其他算法家族，哪些没有。
In this presentation we will discuss the performance of classification and retrieval algorithms for spaceborne cloud and precipitation radars such as the Global Precipitation Measurement mission [1] Dual-frequency Precipitation Radar (GPM/DPR) [2], and notional radar for the Aerosol/Clouds/Ecosystem (ACE) [1] mission and related concepts. Spaceborne radar measurements are simulated either from Airborne Precipitation Radar 2nd Generation (APR-2, [3]) observations, or from atmospheric model outputs via instrument simulators contained in the NASA Earth Observing Systems Simulators Suite (NEOS3). Both methods account for the three dimensional nature of the scattering field at resolutions smaller than that of the spaceborne radar under consideration. We will focus on the impact of nonhomogeneities of the field of hydrometeors within the beam. We will discuss also the performance of methods to identify and mitigate such conditions, and the resulting improvements in retrieval accuracy. The classification and retrieval algorithms analyzed in this study are those derived from APR-2’s Suite of Processing and Retrieval Algorithms (ASPRA); here generalized to operate on an arbitrary set of radar configuration parameters to study the expected performance of spaceborne cloud and precipitation radars. The presentation will highlight which findings extend to other algorithm families and which ones do not.