Using a multi-dimensional satellite rainfall error model to characterize uncertainty in soil moisture fields simulated by an offline land surface model

被引：13

作者：

Hossain, F

Anagnostou, EN

机构：

[1] Tennessee Technol Univ, Dept Civil & Environm Engn, Cookeville, TN 38505 USA

[2] Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT 06269 USA

来源：

GEOPHYSICAL RESEARCH LETTERS | 2005年 / 32卷 / 15期

关键词：

D O I：

10.1029/2005GL023122

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this study, we investigate the significance of using an improved error modeling strategy to characterize the spatio-temporal characteristics of uncertainty in simulation of soil moisture fields from an off-line land surface model forced with satellite rainfall data. We coupled a Two-Dimensional Satellite Rainfall Error Model (SREM2D) with the Common Land Model to propagate ensembles of simulated satellite rain fields for the prediction of soil moisture at depths of 5 cm ( near surface) and 50 cm ( root zone). Our investigations revealed that multi-dimensional error modeling captures the spatio-temporal characteristics of soil moisture uncertainty with higher consistency than simpler bi-dimensional error modeling strategies. The proposed error modeling strategy appears to have the potential for delineating a more robust framework for the optimal integration of satellite rainfall data into models towards the study of global water and energy cycle.

引用

页数：4

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