Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3939-2021
https://doi.org/10.5194/gmd-14-3939-2021
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

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Cited articles

Angevine, W.: Surface representation impacts on turbulent heat fluxes in WRF (v.4.1.3), Comment on gmd-2020-371, Wayne Angevine, 12 February 2021, https://doi.org/10.5194/gmd-2020-371-RC1, 2021. a
Angevine, W. M., Bazile, E., Legain, D., and Pino, D.: Land surface spinup for episodic modeling, Atmos. Chem. Phys., 14, 8165–8172, https://doi.org/10.5194/acp-14-8165-2014, 2014. a, b
Anonymous: Surface representation impacts on turbulent heat fluxes in WRF (v.4.1.3), Reply on RC1, Carlos Román-Cascón, 10 March 2021, https://doi.org/10.5194/gmd-2020-371-AC1, 2021. a
Auffret, A. G., Kimberley, A., Plue, J., and Waldén, E.: Super-regional land-use change and effects on the grassland specialist flora, Nat. Commun., 9, 1–7, 2018. a
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions, in: Progress in Photosynthesis Research, edited by: Biggins, J., Springer, Dordrecht, https://doi.org/10.1007/978-94-017-0519-6_48, 1987. a
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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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