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Precipitation Statistics in Ukraine: Sensitivity to Informational Sources

机译:乌克兰的降水统计:对信息来源的敏感性

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摘要

Sensitivity of precipitation estimates to a choice of database and sampling in observations as well as of a parameterization scheme in a model is discussed. Comparison is performed for time series and spatial patterns. Mean annual and seasonal differences between two databases for the period of 1965-1995 years is about 2-4 and 4-7 mm correspondingly. Discrepancy in spatial patterns of precipitation is mostly applied for the Carpathian region, where it achieves the value of about 7 mm. Estimates of a trend in precipitation vary depending on a sampling period and may even change the sign. This suggests that a term like the long-term variability is preferable instead of the trend. Model simulations show that different parameterization schemes provide similar large scale patterns and values of cloud and rain content, but are considerably different in meso scale structures for orders of 100 km and less.
机译:讨论了降水估算对观测数据库和抽样选择以及模型参数化方案的敏感性。比较时间序列和空间模式。两个数据库在1965-1995年期间的年均和季节差异分别约为2-4和4-7 mm。降水的空间分布差异主要应用于喀尔巴阡地区,该地区的降水量约为7 mm。降水趋势的估计值随采样周期的不同而不同,甚至可能会改变符号。这表明像长期可变性这样的术语比趋势更可取。模型仿真表明,不同的参数化方案可提供相似的大规模模式以及云量和雨量的值,但对于100 km或更小的量级,中观规模结构存在显着差异。

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