Articles | Volume 12, issue 2
https://doi.org/10.5194/gmd-12-765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
20 Feb 2019
Development and technical paper |
| 20 Feb 2019
| 20 Feb 2019
Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2)
Alberto Martínez-de la Torre
CORRESPONDING AUTHOR
Centre for Ecology and Hydrology, Wallingford, Oxfordshire, UK
Eleanor M. Blyth
Centre for Ecology and Hydrology, Wallingford, Oxfordshire, UK
Graham P. Weedon
Met Office, Joint Centre for Hydro-Meteorological Research,
Wallingford, Oxfordshire, UK
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Cited
21 citations as recorded by crossref.
- Parameterizing the JULES land surface model for different land covers in the tropical Andes H. Chou et al. 10.1080/02626667.2022.2094709
- The UKC3 regional coupled environmental prediction system H. Lewis et al. 10.5194/gmd-12-2357-2019
- Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. 10.1002/hyp.13767
- Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al. 10.5194/hess-26-3151-2022
- The Met Office Operational Soil Moisture Analysis System B. Gómez et al. 10.3390/rs12223691
- Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
- Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. 10.1038/s43247-021-00334-0
- Evaluating the impact of climate change on stream flow: integrating GCM, hydraulic modelling and functional data analysis A. Ghumman et al. 10.1007/s12517-020-05881-y
- Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges T. Govender et al. 10.1080/10106049.2022.2043451
- Blue and green water re-distribution dependency on precipitation datasets for a tropical Indian River basin A. Dey et al. 10.1016/j.ejrh.2023.101361
- A regional coupled approach to water cycle prediction during winter 2013/14 in the United Kingdom H. Lewis & S. Dadson 10.1002/hyp.14438
- 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
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- Evaluating the Atibaia River hydrology using JULES6.1 H. Chou et al. 10.5194/gmd-15-5233-2022
- Generation of High-Resolution Gridded Runoff Product for the Republic of Korea Sub-Basins from Seasonal Merging of Global Reanalysis Datasets W. Sunwoo et al. 10.3390/w15213741
- Challenges in Scaling Up Greenhouse Gas Fluxes: Experience From the UK Greenhouse Gas Emissions and Feedbacks Program P. Levy et al. 10.1029/2021JG006743
- Groundwater influence on soil moisture memory and land–atmosphere fluxes in the Iberian Peninsula A. Martínez-de la Torre & G. Miguez-Macho 10.5194/hess-23-4909-2019
- Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain J. Peng et al. 10.1016/j.rse.2021.112610
- UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al. 10.5194/gmd-15-9177-2022
- Trends in evapotranspiration and its drivers in Great Britain: 1961 to 2015 E. Blyth et al. 10.1177/0309133319841891
- Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations E. Cooper et al. 10.5194/hess-25-2445-2021
21 citations as recorded by crossref.
- Parameterizing the JULES land surface model for different land covers in the tropical Andes H. Chou et al. 10.1080/02626667.2022.2094709
- The UKC3 regional coupled environmental prediction system H. Lewis et al. 10.5194/gmd-12-2357-2019
- Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. 10.1002/hyp.13767
- Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al. 10.5194/hess-26-3151-2022
- The Met Office Operational Soil Moisture Analysis System B. Gómez et al. 10.3390/rs12223691
- Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
- Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. 10.1038/s43247-021-00334-0
- Evaluating the impact of climate change on stream flow: integrating GCM, hydraulic modelling and functional data analysis A. Ghumman et al. 10.1007/s12517-020-05881-y
- Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges T. Govender et al. 10.1080/10106049.2022.2043451
- Blue and green water re-distribution dependency on precipitation datasets for a tropical Indian River basin A. Dey et al. 10.1016/j.ejrh.2023.101361
- A regional coupled approach to water cycle prediction during winter 2013/14 in the United Kingdom H. Lewis & S. Dadson 10.1002/hyp.14438
- 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
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- Evaluating the Atibaia River hydrology using JULES6.1 H. Chou et al. 10.5194/gmd-15-5233-2022
- Generation of High-Resolution Gridded Runoff Product for the Republic of Korea Sub-Basins from Seasonal Merging of Global Reanalysis Datasets W. Sunwoo et al. 10.3390/w15213741
- Challenges in Scaling Up Greenhouse Gas Fluxes: Experience From the UK Greenhouse Gas Emissions and Feedbacks Program P. Levy et al. 10.1029/2021JG006743
- Groundwater influence on soil moisture memory and land–atmosphere fluxes in the Iberian Peninsula A. Martínez-de la Torre & G. Miguez-Macho 10.5194/hess-23-4909-2019
- Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain J. Peng et al. 10.1016/j.rse.2021.112610
- UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al. 10.5194/gmd-15-9177-2022
- Trends in evapotranspiration and its drivers in Great Britain: 1961 to 2015 E. Blyth et al. 10.1177/0309133319841891
- Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations E. Cooper et al. 10.5194/hess-25-2445-2021
Latest update: 14 Dec 2024
Short summary
Land–surface interactions with the atmosphere are key for weather and climate modelling studies, both in research and in the operational systems that provide scientific tools for decision makers. Regional assessments will be influenced by the characteristics of the land. We improved the representation of river flows in Great Britain by including a dependency on the terrain slope. This development will be reflected not only in river flows, but in the whole water cycle represented by the model.
Land–surface interactions with the atmosphere are key for weather and climate modelling...
