On the applicability of surrogate-based Markov chain Monte Carlo-Bayesian inversion to the Community Land Model: Case studies at flux tower sites-Reference-Cited by-同舟云学术

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On the applicability of surrogate-based Markov chain Monte Carlo-Bayesian inversion to the Community Land Model: Case studies at flux tower sites

Published:2016-07-04 Issue:13 Volume:121 Page:7548-7563
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Huang Maoyi¹,Ray Jaideep²,Hou Zhangshuan³,Ren Huiying³,Liu Ying¹,Swiler Laura⁴

Affiliation:

1. Earth System Analysis and Modeling Group; Pacific Northwest National Laboratory; Richland Washington USA

2. Sandia National Laboratories; Livermore California USA

3. Hydrology Technical Group; Pacific Northwest National Laboratory; Richland Washington USA

4. Sandia National Laboratories; Albuquerque New Mexico USA

Funder

Battelle

U.S. Department of Energy's National Nuclear Security Administration

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Reference70 articles.

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3. A sensitivity analysis of the land-surface scheme JULES conducted for three forest biomes: Biophysical parameters, model processes, and meteorological driving data;Alton;Global Biogeochem. Cycles,2006

4. Modeling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales;Baldocchi;Ecol. Modell.,2001

5. Parameter sensitivity analysis for different complexity land surface models using multicriteria methods;Bastidas;J. Geophys. Res.,2006

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