Articles | Volume 16, issue 8
https://doi.org/10.5194/hess-16-3029-2012
© Author(s) 2012. 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-16-3029-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Aug 2012
Research article |
| 29 Aug 2012
Multi-criteria parameter estimation for the Unified Land Model
B. Livneh
University of Washington Department of Civil and Environmental Engineering, P.O. Box 352700, Seattle, WA 98195, USA
D. P. Lettenmaier
University of Washington Department of Civil and Environmental Engineering, P.O. Box 352700, Seattle, WA 98195, USA
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Cited
27 citations as recorded by crossref.
- Data‐driven regionalization of river discharges and emergent land cover–evapotranspiration relationships across Sweden Y. van der Velde et al. https://doi.org/10.1002/jgrd.50224
- Assessing the Applicability of Variable Infiltration Capacity (VIC) Model using Remote Sensing Products for the Analysis of Water Balance: Case Study of the Tons River Basin, India S. Himanshu et al. https://doi.org/10.1007/s12524-023-01768-z
- Evapotranspiration in Northern Eurasia: Impact of forcing uncertainties on terrestrial ecosystem model estimates Y. Liu et al. https://doi.org/10.1002/2014JD022531
- Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. https://doi.org/10.1029/2019WR026085
- Improving the realism of hydrologic model functioning through multivariate parameter estimation O. Rakovec et al. https://doi.org/10.1002/2016WR019430
- Improving hydrological simulations by incorporating GRACE data for model calibration P. Bai et al. https://doi.org/10.1016/j.jhydrol.2017.12.025
- Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance A. Newman et al. https://doi.org/10.5194/hess-19-209-2015
- Can Hydrological Models Benefit From Using Global Soil Moisture, Evapotranspiration, and Runoff Products as Calibration Targets? Y. Mei et al. https://doi.org/10.1029/2022WR032064
- A multi-objective calibration approach using in-situ soil moisture data for improved hydrological simulation of the Prairies S. Budhathoki et al. https://doi.org/10.1080/02626667.2020.1715982
- Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations X. Han et al. https://doi.org/10.1002/2013WR014586
- Quantifying the Effect of GRACE Terrestrial Water Storage Anomaly in the Simulation of Extreme Flows D. Gupta & C. Dhanya https://doi.org/10.1061/(ASCE)HE.1943-5584.0002072
- Modelling Freshwater Resources at the Global Scale: Challenges and Prospects P. Döll et al. https://doi.org/10.1007/s10712-015-9343-1
- Improved modelling of a Prairie catchment using a progressive two-stage calibration strategy with in situ soil moisture and streamflow data S. Budhathoki et al. https://doi.org/10.2166/nh.2020.109
- Multivariate calibration can increase simulated discharge uncertainty and model equifinality S. Pool et al. https://doi.org/10.5194/hess-30-2797-2026
- Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin G. Simons et al. https://doi.org/10.3390/rs8040279
- A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 B. Livneh et al. https://doi.org/10.1038/sdata.2015.42
- Behind the scenes of streamflow model performance L. Bouaziz et al. https://doi.org/10.5194/hess-25-1069-2021
- Toward computationally efficient large-scale hydrologic predictions with a multiscale regionalization scheme R. Kumar et al. https://doi.org/10.1002/wrcr.20431
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. https://doi.org/10.1029/2020WR027948
- WATcycle: A software for terrestrial water cycle and budget analysis with case studies on the Amazon and Mississippi Basins R. Anjaneyulu et al. https://doi.org/10.1016/j.envsoft.2025.106656
- Assessment of MERRA-2 Land Surface Hydrology Estimates R. Reichle et al. https://doi.org/10.1175/JCLI-D-16-0720.1
- Comparison of model land skin temperature with remotely sensed estimates and assessment of surface‐atmosphere coupling I. Trigo et al. https://doi.org/10.1002/2015JD023812
- The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. https://doi.org/10.5194/hess-29-567-2025
- On the Changes in Groundwater Storage Variability in Western India Using GRACE and Well Observations R. Meghwal et al. https://doi.org/10.1007/s41976-019-00026-6
- Comparing Large-Scale Hydrological Model Predictions with Observed Streamflow in the Pacific Northwest: Effects of Climate and Groundwater* M. Safeeq et al. https://doi.org/10.1175/JHM-D-13-0198.1
- Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins O. Rakovec et al. https://doi.org/10.1175/JHM-D-15-0054.1
- Implications of the Methodological Choices for Hydrologic Portrayals of Climate Change over the Contiguous United States: Statistically Downscaled Forcing Data and Hydrologic Models N. Mizukami et al. https://doi.org/10.1175/JHM-D-14-0187.1
27 citations as recorded by crossref.
- Data‐driven regionalization of river discharges and emergent land cover–evapotranspiration relationships across Sweden Y. van der Velde et al. https://doi.org/10.1002/jgrd.50224
- Assessing the Applicability of Variable Infiltration Capacity (VIC) Model using Remote Sensing Products for the Analysis of Water Balance: Case Study of the Tons River Basin, India S. Himanshu et al. https://doi.org/10.1007/s12524-023-01768-z
- Evapotranspiration in Northern Eurasia: Impact of forcing uncertainties on terrestrial ecosystem model estimates Y. Liu et al. https://doi.org/10.1002/2014JD022531
- Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. https://doi.org/10.1029/2019WR026085
- Improving the realism of hydrologic model functioning through multivariate parameter estimation O. Rakovec et al. https://doi.org/10.1002/2016WR019430
- Improving hydrological simulations by incorporating GRACE data for model calibration P. Bai et al. https://doi.org/10.1016/j.jhydrol.2017.12.025
- Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance A. Newman et al. https://doi.org/10.5194/hess-19-209-2015
- Can Hydrological Models Benefit From Using Global Soil Moisture, Evapotranspiration, and Runoff Products as Calibration Targets? Y. Mei et al. https://doi.org/10.1029/2022WR032064
- A multi-objective calibration approach using in-situ soil moisture data for improved hydrological simulation of the Prairies S. Budhathoki et al. https://doi.org/10.1080/02626667.2020.1715982
- Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations X. Han et al. https://doi.org/10.1002/2013WR014586
- Quantifying the Effect of GRACE Terrestrial Water Storage Anomaly in the Simulation of Extreme Flows D. Gupta & C. Dhanya https://doi.org/10.1061/(ASCE)HE.1943-5584.0002072
- Modelling Freshwater Resources at the Global Scale: Challenges and Prospects P. Döll et al. https://doi.org/10.1007/s10712-015-9343-1
- Improved modelling of a Prairie catchment using a progressive two-stage calibration strategy with in situ soil moisture and streamflow data S. Budhathoki et al. https://doi.org/10.2166/nh.2020.109
- Multivariate calibration can increase simulated discharge uncertainty and model equifinality S. Pool et al. https://doi.org/10.5194/hess-30-2797-2026
- Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin G. Simons et al. https://doi.org/10.3390/rs8040279
- A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 B. Livneh et al. https://doi.org/10.1038/sdata.2015.42
- Behind the scenes of streamflow model performance L. Bouaziz et al. https://doi.org/10.5194/hess-25-1069-2021
- Toward computationally efficient large-scale hydrologic predictions with a multiscale regionalization scheme R. Kumar et al. https://doi.org/10.1002/wrcr.20431
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. https://doi.org/10.1029/2020WR027948
- WATcycle: A software for terrestrial water cycle and budget analysis with case studies on the Amazon and Mississippi Basins R. Anjaneyulu et al. https://doi.org/10.1016/j.envsoft.2025.106656
- Assessment of MERRA-2 Land Surface Hydrology Estimates R. Reichle et al. https://doi.org/10.1175/JCLI-D-16-0720.1
- Comparison of model land skin temperature with remotely sensed estimates and assessment of surface‐atmosphere coupling I. Trigo et al. https://doi.org/10.1002/2015JD023812
- The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. https://doi.org/10.5194/hess-29-567-2025
- On the Changes in Groundwater Storage Variability in Western India Using GRACE and Well Observations R. Meghwal et al. https://doi.org/10.1007/s41976-019-00026-6
- Comparing Large-Scale Hydrological Model Predictions with Observed Streamflow in the Pacific Northwest: Effects of Climate and Groundwater* M. Safeeq et al. https://doi.org/10.1175/JHM-D-13-0198.1
- Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins O. Rakovec et al. https://doi.org/10.1175/JHM-D-15-0054.1
- Implications of the Methodological Choices for Hydrologic Portrayals of Climate Change over the Contiguous United States: Statistically Downscaled Forcing Data and Hydrologic Models N. Mizukami et al. https://doi.org/10.1175/JHM-D-14-0187.1
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