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

Questioning the Endorheic Paradigm: water balance dynamics in the Salar del Huasco basin, Chile
Francisca Aguirre-Correa, Oscar Hartogensis, Pedro Bonacic-Vera, and Francisco Suárez
Hydrol. Earth Syst. Sci., 30, 433–457, https://doi.org/10.5194/hess-30-433-2026,https://doi.org/10.5194/hess-30-433-2026, 2026
Short summary
Fiber-Optic Distributed Temperature Sensing to quantify turbulence over space and time: A feasibility study
Gijsbert A. Vis, Oscar K. Hartogensis, Marie-Claire ten Veldhuis, Bas J. H. van de Wiel, and Miriam Coenders-Gerrits
EGUsphere, https://doi.org/10.5194/egusphere-2025-6125,https://doi.org/10.5194/egusphere-2025-6125, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Integrating fireline observations to characterize fire plumes during pyroconvective extreme wildfire events: implications for firefighter safety and plume modeling
Marc Castellnou Ribau, Mercedes Bachfischer, Pau Guarque, Laia Estivill, Marta Miralles Bover, Borja Ruiz, Jordi Pagès, Brian Verhoeven, Zisoula Ntasiou, Ove Stokkeland, Chiel van Heerwaarden, Tristan Roelofs, Martin Janssens, Cathelijne R. Stoof, and Jordi Vilà-Guerau de Arellano
Atmos. Meas. Tech., 18, 7805–7831, https://doi.org/10.5194/amt-18-7805-2025,https://doi.org/10.5194/amt-18-7805-2025, 2025
Short summary
CO2 and H2O isotope exchange and flux partitioning in Amazonia
Robbert P. J. Moonen, Getachew A. Adnew, Jordi Vilà-Guerau de Arellano, David J. Bonell Fontas, and Thomas Röckmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-5969,https://doi.org/10.5194/egusphere-2025-5969, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Evidence for the role of thermal and cloud merging in mesoscale convective organization
Sandrine Bony, Basile Poujol, Brett McKim, Nicolas Rochetin, Marie Lothon, Julia Windmiller, Nicolas Maury, Clarisse Dufaux, Louis Jaffeux, Patrick Chazette, and Julien Delanoë
Atmos. Chem. Phys., 25, 17331–17362, https://doi.org/10.5194/acp-25-17331-2025,https://doi.org/10.5194/acp-25-17331-2025, 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