Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3939-2021
© Author(s) 2021. 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-14-3939-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Surface representation impacts on turbulent heat fluxes in the Weather Research and Forecasting (WRF) model (v.4.1.3)
Carlos Román-Cascón
CORRESPONDING AUTHOR
Centre National d'Études Spatiales (CNES), 31400 Toulouse, France
Laboratorie d'Aerologie, CNRS, Université de Toulouse, 31400 Toulouse, France
Marie Lothon
Laboratorie d'Aerologie, CNRS, Université de Toulouse, 31400 Toulouse, France
Fabienne Lohou
Laboratorie d'Aerologie, CNRS, Université de Toulouse, 31400 Toulouse, France
Oscar Hartogensis
Meteorology and Air Quality Section, Wageningen University, Wageningen, the Netherlands
Jordi Vila-Guerau de Arellano
Meteorology and Air Quality Section, Wageningen University, Wageningen, the Netherlands
David Pino
Department of Physics, Universitat Politècnica de Catalunya-BarcelonaTech, 08034 Barcelona, Spain
Carlos Yagüe
Departamento de Física de la Tierra y Astrofísica, Universidad Complutense de Madrid, 28040 Madrid, Spain
Eric R. Pardyjak
Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA
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Cited
10 citations as recorded by crossref.
- Surface impacts of large offshore wind farms M. Golbazi et al. 10.1088/1748-9326/ac6e49
- The Use of Sentinel-3 Altimetry Data to Assess Wind Speed from the Weather Research and Forecasting (WRF) Model: Application over the Gulf of Cadiz R. Mulero-Martinez et al. 10.3390/rs14164036
- A Method to Improve Land Use Representation for Weather Simulations Based on High‐Resolution Data Sets—Application to Corine Land Cover Data in the WRF Model M. de Bode et al. 10.1029/2021EA002123
- Evolution of the Convective Boundary Layer in a WRF Simulation Nested Down to 100 m Resolution During a Cloud‐Free Case of LAFE, 2017 and Comparison to Observations H. Bauer et al. 10.1029/2022JD037212
- Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations J. Siewert & K. Kroszczynski 10.3390/rs15092389
- Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis V. Cicuéndez et al. 10.3389/ffgc.2023.1017365
- The Land Surface Interactions with the Atmosphere over the Iberian Semi-Arid Environment (LIAISE) field campaign A. Boone et al. 10.1016/j.jemets.2025.100007
- Impact of PBL schemes on multiscale WRF modeling over complex terrain, Part I: Mesoscale simulations Y. Ma et al. 10.1016/j.atmosres.2023.107117
- Advancing understanding of land–atmosphere interactions by breaking discipline and scale barriers J. Vilà‐Guerau de Arellano et al. 10.1111/nyas.14956
- Surface representation impacts on turbulent heat fluxes in the Weather Research and Forecasting (WRF) model (v.4.1.3) C. Román-Cascón et al. 10.5194/gmd-14-3939-2021
9 citations as recorded by crossref.
- Surface impacts of large offshore wind farms M. Golbazi et al. 10.1088/1748-9326/ac6e49
- The Use of Sentinel-3 Altimetry Data to Assess Wind Speed from the Weather Research and Forecasting (WRF) Model: Application over the Gulf of Cadiz R. Mulero-Martinez et al. 10.3390/rs14164036
- A Method to Improve Land Use Representation for Weather Simulations Based on High‐Resolution Data Sets—Application to Corine Land Cover Data in the WRF Model M. de Bode et al. 10.1029/2021EA002123
- Evolution of the Convective Boundary Layer in a WRF Simulation Nested Down to 100 m Resolution During a Cloud‐Free Case of LAFE, 2017 and Comparison to Observations H. Bauer et al. 10.1029/2022JD037212
- Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations J. Siewert & K. Kroszczynski 10.3390/rs15092389
- Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis V. Cicuéndez et al. 10.3389/ffgc.2023.1017365
- The Land Surface Interactions with the Atmosphere over the Iberian Semi-Arid Environment (LIAISE) field campaign A. Boone et al. 10.1016/j.jemets.2025.100007
- Impact of PBL schemes on multiscale WRF modeling over complex terrain, Part I: Mesoscale simulations Y. Ma et al. 10.1016/j.atmosres.2023.107117
- Advancing understanding of land–atmosphere interactions by breaking discipline and scale barriers J. Vilà‐Guerau de Arellano et al. 10.1111/nyas.14956
Latest update: 21 Feb 2025
Short summary
The type of vegetation (or land cover) and its status influence the heat and water transfers between the surface and the air, affecting the processes that develop in the atmosphere at different (but connected) spatiotemporal scales. In this work, we investigate how these transfers are affected by the way the surface is represented in a widely used weather model. The results encourage including realistic high-resolution and updated land cover databases in models to improve their predictions.
The type of vegetation (or land cover) and its status influence the heat and water transfers...