Articles | Volume 20, issue 1
https://doi.org/10.5194/hess-20-143-2016
© Author(s) 2016. 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-20-143-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin
Department of Civil and Environmental Engineering, Imperial College London, London, UK
A. Butler
Department of Civil and Environmental Engineering, Imperial College London, London, UK
N. McIntyre
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Centre for Water in the Minerals Industry, the University of Queensland, St. Lucia, Australia
C. Jackson
British Geological Survey, Keyworth, UK
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Cited
23 citations as recorded by crossref.
- The influence of groundwater representation on hydrological simulation and its assessment using satellite‐based water storage variation Z. Huang et al. 10.1002/hyp.13393
- Enhancing water management in Northern European lowland chalk streams: A parsimonious, high-resolution hydrological model using groundwater level as a proxy for baseflow T. Homan et al. 10.1016/j.ejrh.2024.102022
- Freshwater vulnerability under high end climate change. A pan-European assessment A. Koutroulis et al. 10.1016/j.scitotenv.2017.09.074
- Capability of meteorological drought indices for detecting soil moisture droughts D. Halwatura et al. 10.1016/j.ejrh.2017.06.001
- A general analytical model for head response to oscillatory pumping in unconfined aquifers: effects of delayed gravity drainage and initial condition C. Huang et al. 10.5194/hess-23-1323-2019
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- Parameterizing the JULES land surface model for different land covers in the tropical Andes H. Chou et al. 10.1080/02626667.2022.2094709
- Future increases in soil moisture drought frequency at UK monitoring sites: merging the JULES land model with observations and convection-permitting UK climate projections M. Szczykulska et al. 10.1088/1748-9326/ad7045
- Climate Change and Drought: a Perspective on Drought Indices S. Mukherjee et al. 10.1007/s40641-018-0098-x
- Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling H. Vereecken et al. 10.2136/vzj2018.10.0191
- Hydrological Impact of the New ECMWF Multi-Layer Snow Scheme E. Zsoter et al. 10.3390/atmos13050727
- Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. 10.1002/hyp.13767
- An integrated modelling approach for assessing the effect of multiscale complexity on groundwater source yields K. Upton et al. 10.1016/j.jhydrol.2020.125113
- Evaluating the Atibaia River hydrology using JULES6.1 H. Chou et al. 10.5194/gmd-15-5233-2022
- The genesis and evolution of karstic conduit systems in the Chalk A. Farrant et al. 10.1144/SP517-2020-126
- Characterisation of Groundwater Drought Using Distributed Modelling, Standardised Indices, and Principal Component Analysis V. Christelis et al. 10.1007/s11269-024-03997-4
- Hydrometeorological response to afforestation in the UK: findings from a kilometer-scale climate model M. Buechel et al. 10.1088/1748-9326/ad4bf6
- Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study R. Reinecke et al. 10.5194/hess-25-787-2021
- Geological controls of discharge variability in the Thames Basin, UK from cross-spectral analyses: Observations versus modelling G. Weedon et al. 10.1016/j.jhydrol.2023.130104
- Towards a simple representation of chalk hydrology in land surface modelling M. Rahman & R. Rosolem 10.5194/hess-21-459-2017
- Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
- How Well Do Operational Numerical Weather Prediction Configurations Represent Hydrology? E. Zsoter et al. 10.1175/JHM-D-18-0086.1
- Towards integrated flood inundation modelling in groundwater-dominated catchments S. Collins et al. 10.1016/j.jhydrol.2020.125755
23 citations as recorded by crossref.
- The influence of groundwater representation on hydrological simulation and its assessment using satellite‐based water storage variation Z. Huang et al. 10.1002/hyp.13393
- Enhancing water management in Northern European lowland chalk streams: A parsimonious, high-resolution hydrological model using groundwater level as a proxy for baseflow T. Homan et al. 10.1016/j.ejrh.2024.102022
- Freshwater vulnerability under high end climate change. A pan-European assessment A. Koutroulis et al. 10.1016/j.scitotenv.2017.09.074
- Capability of meteorological drought indices for detecting soil moisture droughts D. Halwatura et al. 10.1016/j.ejrh.2017.06.001
- A general analytical model for head response to oscillatory pumping in unconfined aquifers: effects of delayed gravity drainage and initial condition C. Huang et al. 10.5194/hess-23-1323-2019
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- Parameterizing the JULES land surface model for different land covers in the tropical Andes H. Chou et al. 10.1080/02626667.2022.2094709
- Future increases in soil moisture drought frequency at UK monitoring sites: merging the JULES land model with observations and convection-permitting UK climate projections M. Szczykulska et al. 10.1088/1748-9326/ad7045
- Climate Change and Drought: a Perspective on Drought Indices S. Mukherjee et al. 10.1007/s40641-018-0098-x
- Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling H. Vereecken et al. 10.2136/vzj2018.10.0191
- Hydrological Impact of the New ECMWF Multi-Layer Snow Scheme E. Zsoter et al. 10.3390/atmos13050727
- Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. 10.1002/hyp.13767
- An integrated modelling approach for assessing the effect of multiscale complexity on groundwater source yields K. Upton et al. 10.1016/j.jhydrol.2020.125113
- Evaluating the Atibaia River hydrology using JULES6.1 H. Chou et al. 10.5194/gmd-15-5233-2022
- The genesis and evolution of karstic conduit systems in the Chalk A. Farrant et al. 10.1144/SP517-2020-126
- Characterisation of Groundwater Drought Using Distributed Modelling, Standardised Indices, and Principal Component Analysis V. Christelis et al. 10.1007/s11269-024-03997-4
- Hydrometeorological response to afforestation in the UK: findings from a kilometer-scale climate model M. Buechel et al. 10.1088/1748-9326/ad4bf6
- Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study R. Reinecke et al. 10.5194/hess-25-787-2021
- Geological controls of discharge variability in the Thames Basin, UK from cross-spectral analyses: Observations versus modelling G. Weedon et al. 10.1016/j.jhydrol.2023.130104
- Towards a simple representation of chalk hydrology in land surface modelling M. Rahman & R. Rosolem 10.5194/hess-21-459-2017
- Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
- How Well Do Operational Numerical Weather Prediction Configurations Represent Hydrology? E. Zsoter et al. 10.1175/JHM-D-18-0086.1
- Towards integrated flood inundation modelling in groundwater-dominated catchments S. Collins et al. 10.1016/j.jhydrol.2020.125755
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Latest update: 22 Nov 2024
Short summary
– A strategy to diagnose hydrological limitations of a Land Surface Model
– Land Surface Model adaptation for hydrological applications
– Highlights challenges faced while moving towards high resolution modelling
– A strategy to diagnose hydrological limitations of a Land Surface Model
– Land Surface Model...