GSTDTAP  > 气候变化
DOI10.1029/2020GL088819
Development of Hierarchical Ensemble Model and Estimates of Soil Water Retention with Global Coverage
Yonggen Zhang; Marcel G. Schaap; Zhongwang Wei
2020-07-17
发表期刊Geophysical Research Letters
出版年2020
英文摘要

Correct quantification of mass and energy exchange processes between land surface and atmosphere requires an accurate description of unsaturated soil hydraulic properties. Soil pedotransfer functions (PTFs) have been widely used to predict soil hydraulic parameters. Here, 13 PTFs were grouped according to input data requirements and evaluated against a well‐documented database (NCSS) covering the Continental US (87.7% of data) and other regions of the globe (12.3% of data). Weighted ensembles were shown to have improved performance over individual PTFs in terms of evaluation criteria. Validation of moisture content estimated from the ensemble models against observations showed promising results. Global maps of soil water retention data from the ensemble models as well as their uncertainty were provided. Our full 13‐member ensemble model provides more accurate estimates than PTFs that are currently being used in earth system models, which may, therefore, provide improved water fluxes and reduce uncertainty of the estimations.

领域气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/284279
专题气候变化
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GB/T 7714
Yonggen Zhang,Marcel G. Schaap,Zhongwang Wei. Development of Hierarchical Ensemble Model and Estimates of Soil Water Retention with Global Coverage[J]. Geophysical Research Letters,2020.
APA Yonggen Zhang,Marcel G. Schaap,&Zhongwang Wei.(2020).Development of Hierarchical Ensemble Model and Estimates of Soil Water Retention with Global Coverage.Geophysical Research Letters.
MLA Yonggen Zhang,et al."Development of Hierarchical Ensemble Model and Estimates of Soil Water Retention with Global Coverage".Geophysical Research Letters (2020).
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