Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 6
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.
https://doi.org/10.5194/gmd-14-3939-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 6
Model evaluation paper
 | 
29 Jun 2021
Model evaluation paper |  | 29 Jun 2021

Surface representation impacts on turbulent heat fluxes in the Weather Research and Forecasting (WRF) model (v.4.1.3)

Carlos Román-Cascón, Marie Lothon, Fabienne Lohou, Oscar Hartogensis, Jordi Vila-Guerau de Arellano, David Pino, Carlos Yagüe, and Eric R. Pardyjak

Data sets

Data and scripts for GMD publication - Surface representation impacts on turbulent heat fluxes in WRF (v.4.1.3) Carlos Román-Cascón, Marie Lothon, Fabienne Lohou, Oscar Hartogensis, Jordi Vila-Guerau de Arellano, David Pino, Carlos Yagüe, and Eric R. Pardyjak https://doi.org/10.5281/zenodo.4449761

NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://doi.org/10.5065/D6M043C6

ERA-Interim Project European Centre for Medium-Range Weather Forecasts https://doi.org/10.5065/D6CR5RD9

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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.
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