Effects of an index of atmospheric circulation on stochastic properties of precipitation
Effects of an index of atmospheric circulation on stochastic properties of precipitation
复制标题
大气环流指数对降水随机特性的影响
DOI：
10.1029/93wr00569
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
M. Parlange
中科院分区：
文献类型：
--
作者：
R. Katz;M. Parlange
条件链相关过程适用于给定大尺度大气环流指数(即低于或高于正常月平均海平面气压)的日降水量时间序列。分析了加利福尼亚州几个地点1月份的降水数据。这两个条件日模式在发生过程和强度过程的参数方面都不同。这些每日效应中的每一种都有助于改变与环流指数有关的月总降水量的分布。与相应的无条件链相关模式相比，条件日模式的组合所产生的月总降水量的方差更接近观测值。
Conditional chain-dependent processes are fit to time series of daily precipitation amounts given an index of large-scale atmospheric circulation (i.e., either below or above normal monthly mean sea level pressure). Precipitation data for January at several locations in California are analyzed. The two conditional daily models differ both in terms of the parameters of the occurrence process and of the intensity process. Each of these daily effects contributes to changes in the distribution of monthly total precipitation associated with the circulation index. The process induced by combining the conditional daily models produces a variance for monthly total precipitation much closer to the observed value than that for the corresponding unconditional chain-dependent model.