为使用高度重新分配改进导出卫星的大气的运动向量(AMV ) 的质量的一个方法被介绍。位于高度重新分配下面的基本原理被探索,并且技术细节被使用使用 NCEP 分析风的三个高度重新分配计划学习。AMV 的质量通常被改进跟随重新分配,尽管改进的大小根据使用的计划不同。计划 3 提供最好的质量和稳定性,在计划 1 和计划 2 列在后面。在 AMV 的带的部件的否定偏爱减少从[5, 4 ] m s1 到 < 1 m s1 追随者重新分配。南方的部件也改善。AMV 源于红外线并且水蒸汽隧道分别地在 58.7% 和 25% 改善。使用在 AMV 的运作的推导的计划 3 的可行性被合并 T511 中等范围的数字天气预言(NWP ) 预言的预报风领域学习系统。合并 12-h 预报在从水蒸汽隧道检索的南方的风中在带的风和积极偏爱中减少否定偏爱,改进在 26.7% 的 AMV 的全面质量。线性地扩大预报领域的有效性时期在检索 AMV 减少改进,但是这减小的大小是小的。合并 120-h 预报地仍然导致 13% 改进,尽管它可以消除好质量的很多 AMV。
A method for using height reassignment to improve the quality of satellite-derived atmospheric motion vectors (AMVs) is presented. The rationale underlying height reassignment is explored, and the technical details are studied by applying three height reassignment schemes that use NCEP reanalysis winds. The quality of the AMVs is generally improved following reassignment, although the magnitude of the improve- ment differs according to the scheme applied. Scheme 3 provides the best quality and stability, followed by Scheme 1 and Scheme 2. The negative biases in the zonal components of the AMVs decrease from [ 5, 4] m s^-1 to 〈- 1 m s 1 following reassignment. The meridional components also improve. The AMVs derived from the infrared and water vapor channels improve by 58.7% and 25%, respectively, The feasibility of using Scheme 3 in the operational derivation of AMVs is studied by incorporating the forecast wind field predicted by a T511 medium-range numerical weather prediction (NWP) system. Incorporating the 12-h forecast reduces the negative biases in zonal winds and positive biases in meridional winds retrieved from the water vapor channel, improving the overall quality of the AMVs by 26.7%. Extending the validity period of the forecast field linearly reduces the improvement in retrieved AMVs, but the magnitude of this reduction is small. Incorporating the 120-h forecast field still results in a 13% improvement, although it may eliminate a larger number of AMVs of good quality.