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Batch orographic interpolation of monthly precipitation based on free-of-charge geostatistical tools

机译：基于免费的地统计工具的每月降水量批量地形插值

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The effects of possible climate change on water resources in prescribed areas (e.g. river basins) are intensively studied in hydrology. These resources are highly dependent on precipitation totals. When focusing on long-term changes in climate variables, one has to rely on station measurements. However, hydrologists need the information on spatial distribution of precipitation over the areas. For this purpose, the spatial interpolation techniques must be employed. In Czechia, where the addition of elevation co-variables proved to be a good choice, several GIS tools exist that are able to produce time series necessary for climate change analyses. Nevertheless, these tools are exclusively based on commercial software and there is a lack of free-of-charge tools that could be used by everyone. Here, selected free-of-charge geostatistical tools were utilized in order to produce monthly precipitation time series representing six river basins in the Ore Mountains located in NW Bohemia, Czechia and SE Saxony, Germany. The produced series span from January 1961 to December 2012. Rain-gauge data from both Czechia and Germany were used. The universal kriging technique was employed where a multiple linear regression (based on elevation and coordinates) residuals were interpolated. The final time series seem to be homogeneous.
机译：在水文中深入研究了规定地区水资源的可能气候变化对水资源的影响。这些资源高度依赖降水总量。在关注气候变量的长期变化时，必须依靠站测量。但是，水文学家需要关于地区降水的空间分布的信息。为此，必须采用空间插值技术。在捷克亚洲，在升高的共同中，被证明是一个不错的选择，存在几种GIS工具，能够为气候变化分析产生时间序列。尽管如此，这些工具专门基于商业软件，并且缺乏每个人都可以使用的免费工具。在这里，利用了选定的免费地统计工具，以产生月份的月度降水时间序列，位于德国NW波希米亚，捷克西州和萨克森州的矿石山区。生产的系列跨度从1961年1月到2012年12月。使用捷克和德国的雨量衡量数据。使用通用克里格化技术，其中内插的多线性回归（基于升高和坐标）残留物被插入。最后的时间序列似乎是均匀的。

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