WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America
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Published:2022-01-18
Issue:2
Volume:15
Page:413-428
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
García-García AlmudenaORCID, Cuesta-Valero Francisco JoséORCID, Beltrami HugoORCID, González-Rouco J. FidelORCID, García-Bustamante Elena
Abstract
Abstract. Understanding the differences between regional simulations of land–atmosphere
interactions and near-surface conditions is crucial for a more reliable
representation of past and future climate. Here, we explore the effect of
changes in the model's horizontal resolution on the simulated energy balance
at the surface and near-surface conditions using the Weather Research and
Forecasting (WRF) model. To this aim, an ensemble of 12 simulations using
three different horizontal resolutions (25, 50 and 100 km) and four
different land surface model (LSM) configurations over North America from 1980
to 2013 is developed. Our results show that finer resolutions lead to higher
surface net shortwave radiation and maximum temperatures at mid and high
latitudes. At low latitudes over coastal areas, an increase in resolution
leads to lower values of sensible heat flux and higher values of latent heat
flux, as well as lower values of surface temperatures and higher values of
precipitation, and soil moisture in summer. The use of finer resolutions leads
then to an increase in summer values of latent heat flux and convective and
non-convective precipitation and soil moisture at low latitudes. The effect of
the LSM choice is larger than the effect of horizontal resolution on the
near-surface temperature conditions. By contrast, the effect of the LSM choice
on the simulation of precipitation is weaker than the effect of horizontal
resolution, showing larger differences among LSM simulations in summer and
over regions with high latent heat flux. Comparison between observations and
the simulation of daily maximum and minimum temperatures and accumulated
precipitation indicates that the CLM4 LSM yields the lowest biases in maximum
and minimum mean temperatures but the highest biases in extreme
temperatures. Increasing horizontal resolution leads to larger biases in
accumulated precipitation over all regions particularly in summer. The reasons
behind this are related to the partition between convective and non-convective
precipitation, specially noticeable over western USA.
Funder
Canada Excellence Research Chairs, Government of Canada Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada Canada Foundation for Innovation
Publisher
Copernicus GmbH
Reference72 articles.
1. Ban, N., Schmidli, J., and Schär, C.: Evaluation of the convection-resolving regional climate modeling approach in decade-long simulations, J. Geophys. Res.-Atmos., 119, 7889–7907, https://doi.org/10.1002/2014JD021478, 2014. a 2. Barlage, M., Zeng, X., Wei, H., and Mitchell, K. E.: A global 0.05∘ maximum albedo dataset of snow-covered land based on MODIS observations, Geophys. Res. Lett., 32, L17405, https://doi.org/10.1029/2005GL022881, 2005. a 3. Bonan, G. B.: Ecological climatology: concepts and applications, Cambridge
University Press, Cambridge, UK, ISBN 521 80476 0, 2002. a 4. Chen, F., Liu, C., Dudhia, J., and Chen, M.: A sensitivity study of high-resolution regional climate simulations to three land surface models over the western United States, J. Geophys. Res.-Atmos., 119, 7271–7291, https://doi.org/10.1002/2014JD021827, 2014. a, b, c, d, e, f 5. Collins, W. D., Rasch, P. J., Boville, B. A., Hack, J. J., McCaa, J. R.,
Williamson, D. L., Kiehl, J. T., Briegleb, B., Bitz, C., and Lin, S.-J.:
Description of the NCAR community atmosphere model (CAM 3.0), NCAR Tech. Note
NCAR/TN-464+ STR, 226, University Corporation for Atmospheric Research, https://doi.org/10.5065/D63N21CH, 2004. a
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