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

Related authors

The Loobos ecosystem first tower dataset: meteorology, turbulent fluxes and net ecosystem exchange (1996 to 2021)
Hong Zhao, Han Dolman, Jan Elbers, Wilma Jans, Bart Kruijt, Eddy Moors, Henk Snellen, Jordi Vila-Guerau de Arellano, Wouter Peters, Maarten Krol, Ronald Hutjes, and Michiel van der Molen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-372,https://doi.org/10.5194/essd-2025-372, 2025
Preprint under review for ESSD
Short summary
The spatiotemporal evolution of atmospheric boundary layers over a thermally heterogeneous landscape
Mary Rose Mangan, Jordi Vilà-Guerau de Arellano, Bart J. H. van Stratum, Marie Lothon, Guylaine Canut-Rocafort, and Oscar K. Hartogensis
Atmos. Chem. Phys., 25, 8959–8981, https://doi.org/10.5194/acp-25-8959-2025,https://doi.org/10.5194/acp-25-8959-2025, 2025
Short summary
Increasing Diurnal and Seasonal Amplitude of Atmospheric Methane Mole Fraction in Central Siberia between 2010–2021
Dieu Anh Tran, Jordi Vilà-Guerau de Arellano, Ingrid T. Luijkx, Christoph Gerbig, Michał Gałkowski, Santiago Botía, Kim Faassen, and Sönke Zaehle
EGUsphere, https://doi.org/10.5194/egusphere-2025-2351,https://doi.org/10.5194/egusphere-2025-2351, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Carbon dioxide plume dispersion simulated at the hectometer scale using DALES: model formulation and observational evaluation
Arseniy Karagodin-Doyennel, Fredrik Jansson, Bart J. H. van Stratum, Hugo Denier van der Gon, Jordi Vilà-Guerau de Arellano, and Sander Houweling
Geosci. Model Dev., 18, 4571–4599, https://doi.org/10.5194/gmd-18-4571-2025,https://doi.org/10.5194/gmd-18-4571-2025, 2025
Short summary
Technical note: New insights into stomatal oxygen transport viewed as a multicomponent diffusion process
Jordi Vilà-Guerau de Arellano, Roderick Dewar, Kim A. P. Faassen, Teemu Hölttä, Remco de Kok, Ingrid T. Luijkx, and Timo Vesala
EGUsphere, https://doi.org/10.5194/egusphere-2025-2705,https://doi.org/10.5194/egusphere-2025-2705, 2025
Short summary

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
Download
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.
Share