Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-413-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-413-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Model evaluation paper
 | 
18 Jan 2022
Model evaluation paper |  | 18 Jan 2022

WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America

Almudena García-García, Francisco José Cuesta-Valero, Hugo Beltrami, J. Fidel González-Rouco, and Elena García-Bustamante

Supplement

https://doi.org/10.5194/gmd-15-413-2022-supplement

Data sets

North American regional reanalysis (https://www.ncei.noaa.gov/data/north-american-regional-reanalysis/access/3-hourly/) Fedor Mesinger, Geoff DiMego, Eugenia Kalnay, Kenneth Mitchell, Perry C. Shafran, Wesley Ebisuzaki, Dušan Jović, Jack Woollen, Eric Rogers, Ernesto H. Berbery, Michael B. Ek, Yun Fan, Robert Grumbine, Wayne Higgins, Hong Li, Ying Lin, Geoff Manikin, David Parrish, and Wei Shi https://doi.org/10.1175/BAMS-87-3-343

CRU TS4.03: Climatic Research Unit (CRU) Time-Series (TS) version 4.03 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901-Dec. 2018) University of East Anglia Climatic Research Unit, I. C. Harris, and P. D. Jones https://doi.org/10.5285/10d3e3640f004c578403419aac167d82

Daymet: Daily Surface Weather Data on a 1-km Grid for North America P. E. Thornton, M. Thornton, B. Mayer, Y. Wei, R. Devarakonda, R. S. Vose, and R. Cook https://doi.org/10.3334/ORNLDAAC/1328

Model code and software

Code and Data: WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America Almudena García-García, Francisco José Cuesta-Valero, Hugo Beltrami, Fidel González-Rouco, and Elena García-Bustamante https://doi.org/10.5281/zenodo.5106087

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Short summary
We study the sensitivity of a regional climate model to resolution and soil scheme changes. Our results show that the use of finer resolutions mainly affects precipitation outputs, particularly in summer due to changes in convective processes. Finer resolutions are associated with larger biases compared with observations. Changing the land surface model scheme affects the simulation of near-surface temperatures, yielding the lowest biases in mean temperature with the most complex soil scheme.
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