首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >A new tool for monthly precipitation analysis in Spain: MOPREDAS database (monthly precipitation trends December 1945-November 2005)
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A new tool for monthly precipitation analysis in Spain: MOPREDAS database (monthly precipitation trends December 1945-November 2005)

机译:西班牙每月降水分析的新工具:MOPREDAS数据库(1945年12月至2005年11月的每月降水趋势)

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A new monthly precipitation database has been developed for conterminous provinces in Spain by exploiting the total amount of data available at Spanish Meteorological Agency (AEMET, formerly INM). The new MOPREDAS (monthly precipitation database of Spain) database has been constructed by using all 6821 original data series that have been recorded for at least 10 years. These provide a total of 2670 complete, homogeneous series for the period 1946-2005, and are the most complete and extensive monthly precipitation dataset available in Spain at present. MOPREDAS has been created with the aim of analysing the behaviour of precipitation in the conterminous provinces of Spain, and to help validate the downscaling of climate models on a detailed spatial level. To this end, the station data were also interpolated on a regular grid, at 1/10 of degree of resolution, over the whole Spain. Trend analysis confirms great spatial and temporal variability in the behaviour of precipitation across Spain. The monthly precipitation trends vary from month to month, from coherent spatial trend patterns in March, June (both with a general and significant negative trend) and October (general positive trends), to highly regionalized trend patterns in July (with positive trends in north-west and mainly negative in the remainder), February and April (positive and negative trends in the south-east, respectively). These results suggest that both global and local factors affect the spatial distribution of trends in the Iberian Peninsula. Mountain ranges seem to be the most significant geographical factor in determining the spatial distribution of monthly trends on a detailed, sub-regional spatial scale. These results show that it is possible to accurately delineate the areas affected by different precipitation trends if a dense spatial database is available.
机译:通过利用西班牙气象局(AEMET,前身为INM)可获得的数据总量,为西班牙的邻近省份开发了一个新的月降水量数据库。新的MOPREDAS(西班牙每月降水数据库)数据库是通过使用已记录至少10年的所有6821个原始数据系列构建的。这些为1946-2005年提供了总共2670个完整,均匀的序列,并且是目前西班牙可用的最完整和最广泛的月降水量数据集。创建MOPREDAS的目的是分析西班牙附近各省的降水行为,并帮助在详细的空间水平上验证气候模型的缩减。为此,还以固定分辨率的1/10在整个西班牙的常规网格上插入了台站数据。趋势分析证实了整个西班牙降水行为的巨大时空变化。每个月的降水趋势各不相同,从3月,6月(总体呈负趋势和显着负趋势)和10月(总体呈正趋势)的连贯空间趋势模式到7月(北部呈积极趋势)的高度区域化趋势模式不等。 -西部,其余大部分为负),2月和4月(东南部分别为正和负趋势)。这些结果表明,全球和地方因素都影响伊比利亚半岛趋势的空间分布。在确定详细的次区域空间范围内的月度趋势的空间分布时,山脉似乎是最重要的地理因素。这些结果表明,如果有一个密集的空间数据库,就有可能准确地描述受不同降水趋势影响的地区。

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