Optimal Parameter and Uncertainty Estimation of a Land Surface Model: Sensitivity to Parameter Ranges and Model Complexities

被引：0
|
作者：
Paul L.STOFFA
Mrinal K.SEN
机构：
[1] 4412 Spicewood Spring Road
[2] Institute for Geophysics
[3] Institute for Geophysics The John A. and Katherine G. Jackson School of Geosciences
[4] TX 78759-8500
[5] USA
[6] University of Texas at Austin
来源：
Advances in Atmospheric Sciences | 2005年 / 01期
关键词：
optimal parameters; uncertainty estimation; CHASM model; bayesian stochastic inversion; parameter ranges; model complexities;
D O I：
暂无
中图分类号：
O212 [数理统计];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Most previous land-surface model calibration studies have defined global ranges for their parameters to search for optimal parameter sets. Little work has been conducted to study the impacts of realistic versus global ranges as well as model complexities on the calibration and uncertainty estimates. The primary purpose of this paper is to investigate these impacts by employing Bayesian Stochastic Inversion (BSI) to the Chameleon Surface
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页码：142 / 157
页数：16
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