Articles | Volume 17, issue 12
https://doi.org/10.5194/hess-17-4995-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-4995-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Dec 2013
Research article |
| 10 Dec 2013
Inverse modeling of hydrologic parameters using surface flux and runoff observations in the Community Land Model
Y. Sun
Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA
Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Z. Hou
Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA
Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA
Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
L. Ruby Leung
Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA
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19 citations as recorded by crossref.
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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 M. Huang et al. 10.1002/2015JD024339
- Classification of hydrological parameter sensitivity and evaluation of parameter transferability across 431 US MOPEX basins H. Ren et al. 10.1016/j.jhydrol.2016.02.042
- Bayesian Calibration of the Community Land Model Using Surrogates J. Ray et al. 10.1137/140957998
- An automatic and effective parameter optimization method for model tuning T. Zhang et al. 10.5194/gmd-8-3579-2015
- Using a surrogate-assisted Bayesian framework to calibrate the runoff-generation scheme in the Energy Exascale Earth System Model (E3SM) v1 D. Xu et al. 10.5194/gmd-15-5021-2022
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- Designing Robust, Cost‐Effective Field Measurement Sets using Universal Multiple Linear Regression M. Clutter & T. Ferré 10.2136/sssaj2018.09.0340
- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Robust Predictive Design of Field Measurements for Evapotranspiration Barriers Using Universal Multiple linear Regression M. Clutter et al. 10.1029/2019WR026194
- Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction R. Baatz et al. 10.5194/hess-21-2509-2017
- Downscaling global land cover projections from an integrated assessment model for use in regional analyses: results and evaluation for the US from 2005 to 2095 T. West et al. 10.1088/1748-9326/9/6/064004
- Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations Y. Qian et al. 10.1029/2018JD028927
- Calibration of a distributed hydrology and land surface model using energy flux measurements M. Larsen et al. 10.1016/j.agrformet.2015.11.012
- Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework G. Karagiannis et al. 10.3390/computation10050072
- Process refinement contributed more than parameter optimization to improve the CoLM's performance in simulating the carbon and water fluxes in a grassland Y. Li et al. 10.1016/j.agrformet.2020.108067
- Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables T. Denager et al. 10.5194/hess-27-2827-2023
- On Approaches to Analyze the Sensitivity of Simulated Hydrologic Fluxes to Model Parameters in the Community Land Model J. Bao et al. 10.3390/w7126662
18 citations as recorded by crossref.
- CH4 parameter estimation in CLM4.5bgc using surrogate global optimization J. Müller et al. 10.5194/gmd-8-3285-2015
- A subbasin-based framework to represent land surface processes in an Earth system model T. Tesfa et al. 10.5194/gmd-7-947-2014
- On the applicability of surrogate‐based Markov chain Monte Carlo‐Bayesian inversion to the Community Land Model: Case studies at flux tower sites M. Huang et al. 10.1002/2015JD024339
- Classification of hydrological parameter sensitivity and evaluation of parameter transferability across 431 US MOPEX basins H. Ren et al. 10.1016/j.jhydrol.2016.02.042
- Bayesian Calibration of the Community Land Model Using Surrogates J. Ray et al. 10.1137/140957998
- An automatic and effective parameter optimization method for model tuning T. Zhang et al. 10.5194/gmd-8-3579-2015
- Using a surrogate-assisted Bayesian framework to calibrate the runoff-generation scheme in the Energy Exascale Earth System Model (E3SM) v1 D. Xu et al. 10.5194/gmd-15-5021-2022
- Calibration of the E3SM Land Model Using Surrogate‐Based Global Optimization D. Lu et al. 10.1002/2017MS001134
- Designing Robust, Cost‐Effective Field Measurement Sets using Universal Multiple Linear Regression M. Clutter & T. Ferré 10.2136/sssaj2018.09.0340
- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Robust Predictive Design of Field Measurements for Evapotranspiration Barriers Using Universal Multiple linear Regression M. Clutter et al. 10.1029/2019WR026194
- Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction R. Baatz et al. 10.5194/hess-21-2509-2017
- Downscaling global land cover projections from an integrated assessment model for use in regional analyses: results and evaluation for the US from 2005 to 2095 T. West et al. 10.1088/1748-9326/9/6/064004
- Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations Y. Qian et al. 10.1029/2018JD028927
- Calibration of a distributed hydrology and land surface model using energy flux measurements M. Larsen et al. 10.1016/j.agrformet.2015.11.012
- Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework G. Karagiannis et al. 10.3390/computation10050072
- Process refinement contributed more than parameter optimization to improve the CoLM's performance in simulating the carbon and water fluxes in a grassland Y. Li et al. 10.1016/j.agrformet.2020.108067
- Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables T. Denager et al. 10.5194/hess-27-2827-2023
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