Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset
Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset
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DOI：
10.1002/joc.3711
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发表时间：
2014-03-15
期刊：
影响因子：
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通讯作者：
Lister, D. H.
中科院分区：
文献类型：
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作者：
Harris, I.;Jones, P. D.;Lister, D. H.
本文介绍了一个更新的网格气候数据集（简称CRU TS3.10）的建设，从气象站在世界各地的陆地地区的每月观测。将观测站的异常（1961年至1990年的平均值）插入覆盖全球陆地表面（不包括南极洲）的0.5度经纬度网格单元，并与现有的气候学相结合，以获得绝对月值。该数据集包括六个主要独立的气候变量（平均温度、昼夜温差、降水量、雨天频率、蒸汽压力和云量）。最高和最低温度是从这些数据中用算术方法得出的。次要变量（霜冻日频率和潜在蒸散量）已估计从六个主要变量使用众所周知的公式。计算了半球平均值和20个大型次大陆尺度区域的时间序列（平均、最高和最低温度以及总降水量），并与一些类似的网格化产品进行了比较。新的数据集相比之下非常有利，主要偏差主要出现在观测数据较稀疏的区域和/或时间段。CRU TS3.10包括与每个插值相关的诊断，这些诊断指示插值中使用的站点数量，从而可以客观地确定值的可靠性。这种网格化产品将公开提供，包括输入站系列（和）。(c)2013年皇家气象学会
This paper describes the construction of an updated gridded climate dataset (referred to as CRU TS3.10) from monthly observations at meteorological stations across the world's land areas. Station anomalies (from 1961 to 1990 means) were interpolated into 0.5 degrees latitude/longitude grid cells covering the global land surface (excluding Antarctica), and combined with an existing climatology to obtain absolute monthly values. The dataset includes six mostly independent climate variables (mean temperature, diurnal temperature range, precipitation, wet-day frequency, vapour pressure and cloud cover). Maximum and minimum temperatures have been arithmetically derived from these. Secondary variables (frost day frequency and potential evapotranspiration) have been estimated from the six primary variables using well-known formulae. Time series for hemispheric averages and 20 large sub-continental scale regions were calculated (for mean, maximum and minimum temperature and precipitation totals) and compared to a number of similar gridded products. The new dataset compares very favourably, with the major deviations mostly in regions and/or time periods with sparser observational data. CRU TS3.10 includes diagnostics associated with each interpolated value that indicates the number of stations used in the interpolation, allowing determination of the reliability of values in an objective way. This gridded product will be publicly available, including the input station series ( and ). (c) 2013 Royal Meteorological Society