Articles | Volume 23, issue 10
https://doi.org/10.5194/hess-23-4051-2019
© 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/hess-23-4051-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Oct 2019
Research article |
| 01 Oct 2019
| 01 Oct 2019
Upgraded global mapping information for earth system modelling: an application to surface water depth at the ECMWF
Margarita Choulga
CORRESPONDING AUTHOR
Research Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, RG2 9AX, UK
Ekaterina Kourzeneva
Research Department, Finnish Meteorological Institute (FMI), Helsinki,
00560, Finland
Gianpaolo Balsamo
Research Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, RG2 9AX, UK
Souhail Boussetta
Research Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, RG2 9AX, UK
Nils Wedi
Research Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, RG2 9AX, UK
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16 citations as recorded by crossref.
- Inland lake temperature initialization via coupled cycling with atmospheric data assimilation S. Benjamin et al. 10.5194/gmd-15-6659-2022
- Parametrization of a lake water dynamics model MLake in the ISBA-CTRIP land surface system (SURFEX v8.1) T. Guinaldo et al. 10.5194/gmd-14-1309-2021
- Deterministic modelling of freshwater lakes and reservoirs: Current trends and recent progress L. Soares & M. Calijuri 10.1016/j.envsoft.2021.105143
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- Trends of lake temperature, mixing depth and ice cover thickness of European lakes during the last four decades K. Stefanidis et al. 10.1016/j.scitotenv.2022.154709
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- Evaluation of the FLake Model in ERA5 for Lake Champlain A. Betts et al. 10.3389/fenvs.2020.609254
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- Global Heat Uptake by Inland Waters I. Vanderkelen et al. 10.1029/2020GL087867
- Deep learning for quality control of surface physiographic fields using satellite Earth observations T. Kimpson et al. 10.5194/hess-27-4661-2023
- ECLand: The ECMWF Land Surface Modelling System S. Boussetta et al. 10.3390/atmos12060723
- Global patterns and drivers of lead concentration in inland waters S. Wei et al. 10.1016/j.jhazmat.2023.132455
- Delineating the relative contribution of climate related variables to chlorophyll-a and phytoplankton biomass in lakes using the ERA5-Land climate reanalysis data K. Stefanidis et al. 10.1016/j.watres.2021.117053
- Modeling subgrid lake energy balance in ORCHIDEE terrestrial scheme using the FLake lake model A. Bernus & C. Ottlé 10.5194/gmd-15-4275-2022
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16 citations as recorded by crossref.
- Inland lake temperature initialization via coupled cycling with atmospheric data assimilation S. Benjamin et al. 10.5194/gmd-15-6659-2022
- Parametrization of a lake water dynamics model MLake in the ISBA-CTRIP land surface system (SURFEX v8.1) T. Guinaldo et al. 10.5194/gmd-14-1309-2021
- Deterministic modelling of freshwater lakes and reservoirs: Current trends and recent progress L. Soares & M. Calijuri 10.1016/j.envsoft.2021.105143
- On the use of averaged indicators to assess lakes’ thermal response to changes in climatic conditions M. Toffolon et al. 10.1088/1748-9326/ab763e
- Trends of lake temperature, mixing depth and ice cover thickness of European lakes during the last four decades K. Stefanidis et al. 10.1016/j.scitotenv.2022.154709
- Continental heat storage: contributions from the ground, inland waters, and permafrost thawing F. Cuesta-Valero et al. 10.5194/esd-14-609-2023
- New Procedure to Reservoir Depth and Islands Mapping for Badush Dam Reservoir Using DEM, Mosul, Northern Iraq M. Badowi et al. 10.1088/1755-1315/1300/1/012022
- Evaluation of the FLake Model in ERA5 for Lake Champlain A. Betts et al. 10.3389/fenvs.2020.609254
- Advances in land surface forecasting: a comparison of LSTM, gradient boosting, and feed-forward neural networks as prognostic state emulators in a case study with ecLand M. Wesselkamp et al. 10.5194/gmd-18-921-2025
- Global Heat Uptake by Inland Waters I. Vanderkelen et al. 10.1029/2020GL087867
- Deep learning for quality control of surface physiographic fields using satellite Earth observations T. Kimpson et al. 10.5194/hess-27-4661-2023
- ECLand: The ECMWF Land Surface Modelling System S. Boussetta et al. 10.3390/atmos12060723
- Global patterns and drivers of lead concentration in inland waters S. Wei et al. 10.1016/j.jhazmat.2023.132455
- Delineating the relative contribution of climate related variables to chlorophyll-a and phytoplankton biomass in lakes using the ERA5-Land climate reanalysis data K. Stefanidis et al. 10.1016/j.watres.2021.117053
- Modeling subgrid lake energy balance in ORCHIDEE terrestrial scheme using the FLake lake model A. Bernus & C. Ottlé 10.5194/gmd-15-4275-2022
- Level Variations in the Caspian Sea under Different Climate Conditions by the Data of Simulation under CMIP6 Project A. Kislov & P. Morozova 10.1134/S0097807821060099
Latest update: 21 Mar 2025
Short summary
Lakes influence weather and climate of regions, especially if several of them are located close by. Just by using upgraded lake depths, based on new or more recent measurements and geological methods of depth estimation, errors of lake surface water forecasts produced by the European Centre for Medium-Range Weather Forecasts became 12–20 % lower compared with observations for 27 lakes collected by the Finnish Environment Institute. For ice-off date forecasts errors changed insignificantly.
Lakes influence weather and climate of regions, especially if several of them are located close...
