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Bayesian calibration of a carbon balance model PREBAS using data from permanent growth experiments and national forest inventory 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 440: 208-257
作者:  Minunno, Francesco;  Peltoniemi, Mikko;  Harkonen, Sanna;  Kalliokoski, Tuomo;  Makinen, Harri;  Makela, Annikki
收藏  |  浏览/下载：16/0  |  提交时间：2019/11/26
Process-based model  Data assimilation  Bayesian calibration  Forest carbon cycle  Forest inventory data  Permanent growth experiments  
Signature-Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Theory and Comparison to Existing Applications 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (6) : 4059-4083
作者:  Kavetski, Dmitri;  Fenicia, Fabrizio;  Reichert, Peter;  Albert, Carlo
收藏  |  浏览/下载：13/0  |  提交时间：2019/04/09
hydrological model calibration  data signature  uncertainty  Bayesian inference  Approximate Bayesian Computation (ABC)  GLUE  
Signature-Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Empirical Analysis of Fundamental Properties 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (6) : 3958-3987
作者:  Fenicia, Fabrizio;  Kavetski, Dmitri;  Reichert, Peter;  Albert, Carlo
收藏  |  浏览/下载：27/0  |  提交时间：2019/04/09
data signature  Bayesian model calibration  uncertainty  approximate Bayesian computation (ABC)  flow duration curve  flashiness index  
Bayesian spectral likelihood for hydrological parameter inference 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (8)
作者:  Schaefli, Bettina;  Kavetski, Dmitri
收藏  |  浏览/下载：16/0  |  提交时间：2019/04/09
hydrology  Bayesian inference  spectral domain inference  rainfall-runoff modeling  frequency domain inference  model calibration  
Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data-driven error model 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (5)
作者:  Xu, Tianfang;  Valocchi, Albert J.;  Ye, Ming;  Liang, Feng
收藏  |  浏览/下载：19/0  |  提交时间：2019/04/09
Bayesian calibration  uncertainty decomposition  model structural error  surrogate modeling  groundwater