Development of gridded surface meteorological data for ecological applications and modelling

被引:1248
作者
Abatzoglou, John T. [1 ]
机构
[1] Univ Idaho, Dept Geog, Moscow, ID 83844 USA
基金
美国国家科学基金会;
关键词
weather data; humidity; agriculture; wildfire; SYSTEM NLDAS PROJECT; TEMPERATURE; PRECIPITATION; INTERPOLATION; UNCERTAINTIES; BIASES; TIME;
D O I
10.1002/joc.3413
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Landscape-scale ecological modelling has been hindered by suitable high-resolution surface meteorological datasets. To overcome these limitations, desirable spatial attributes of gridded climate data are combined with desirable temporal attributes of regional-scale reanalysis and daily gauge-based precipitation to derive a spatially and temporally complete, high-resolution (4-km) gridded dataset of surface meteorological variables required in ecological modelling for the contiguous United States from 1979 to 2010. Validation of the resulting gridded surface meteorological data, using an extensive network of automated weather stations across the western United States, showed skill comparable to that derived from interpolation using station observations, suggesting it can serve as suitable surrogate for landscape-scale ecological modelling across vast unmonitored areas of the United States. Copyright (C) 2011 Royal Meteorological Society
引用
收藏
页码:121 / 131
页数:11
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