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Volume 11
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10.3390/atmos11030259
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Article

WRF Sensitivity Analysis in Wind and Temperature Fields Simulation for the Northern Sahara and the Mediterranean Basin

by
Umberto Rizza
1,*,
Enrico Mancinelli
2,
Elisa Canepa
3,
Jacques Piazzola
4,
Tathy Missamou
4,
Christophe Yohia
5,
Mauro Morichetti
1,
Simone Virgili
2,
Giorgio Passerini
2 and
Mario Marcello Miglietta
1
1
Institute of Atmospheric Sciences and Climate, National Research Council, 73100 Lecce, Italy
2
Department of Industrial Engineering and Mathematics Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy
3
Institute for the Study of Anthropical Impact and Sustainability in the Marine Environment, National Research Council, 16149 Genova, Italy
4
Mediterranean Institute of Oceanography (MIO-UMR 7294), University of Toulon, 83041 Toulon CEDEX 9, France
5
OSU Institut Pytheas (UMS 3470), CNRS/INSU, , University of Aix-Marseille (AMU), 13284 Marseille Cedex 07, France
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(3), 259; https://doi.org/10.3390/atmos11030259
Submission received: 3 February 2020 / Revised: 27 February 2020 / Accepted: 3 March 2020 / Published: 5 March 2020
(This article belongs to the Section Aerosols)
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Abstract

Different configurations for the Weather Research and Forecasting (WRF) model were evaluated to improve wind and temperature fields predictions in the Northern Sahara and the Mediterranean basin. Eight setups, associated with different combinations of the surface layer physical parameters, the land surface model, and the grid nudging parameters, were considered. Numerical simulations covered the entire month of November 2017. Model results were compared with surface data from meteorological stations. The introduction of the grid nudging parameters leads to a general improvement of the modeled 10 m wind speed and 2 m temperature. In particular, nudging of wind speed parameter inside the planetary boundary layer (PBL) provides the most remarkable differences. In contrast, the nudging of temperature and relative humidity parameters inside the PBL may be switched off to reduce computational time and data storage. Furthermore, it was shown that the prediction of the 10 m wind speed and 2 m temperature is quite sensitive to the choice of the surface layer scheme and the land surface model. This paper provides useful suggestions to improve the setup of the WRF model in the Northern Sahara and the Mediterranean basin. These results are also relevant for topics related with the emission of mineral dust and sea spray within the Mediterranean region.
Keywords: WRF model; nudging technique; natural aerosols emission; mineral dust; sea spray WRF model; nudging technique; natural aerosols emission; mineral dust; sea spray

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MDPI and ACS Style

Rizza, U.; Mancinelli, E.; Canepa, E.; Piazzola, J.; Missamou, T.; Yohia, C.; Morichetti, M.; Virgili, S.; Passerini, G.; Miglietta, M.M. WRF Sensitivity Analysis in Wind and Temperature Fields Simulation for the Northern Sahara and the Mediterranean Basin. Atmosphere 2020, 11, 259. https://doi.org/10.3390/atmos11030259

AMA Style

Rizza U, Mancinelli E, Canepa E, Piazzola J, Missamou T, Yohia C, Morichetti M, Virgili S, Passerini G, Miglietta MM. WRF Sensitivity Analysis in Wind and Temperature Fields Simulation for the Northern Sahara and the Mediterranean Basin. Atmosphere. 2020; 11(3):259. https://doi.org/10.3390/atmos11030259

Chicago/Turabian Style

Rizza, Umberto, Enrico Mancinelli, Elisa Canepa, Jacques Piazzola, Tathy Missamou, Christophe Yohia, Mauro Morichetti, Simone Virgili, Giorgio Passerini, and Mario Marcello Miglietta. 2020. "WRF Sensitivity Analysis in Wind and Temperature Fields Simulation for the Northern Sahara and the Mediterranean Basin" Atmosphere 11, no. 3: 259. https://doi.org/10.3390/atmos11030259

APA Style

Rizza, U., Mancinelli, E., Canepa, E., Piazzola, J., Missamou, T., Yohia, C., Morichetti, M., Virgili, S., Passerini, G., & Miglietta, M. M. (2020). WRF Sensitivity Analysis in Wind and Temperature Fields Simulation for the Northern Sahara and the Mediterranean Basin. Atmosphere, 11(3), 259. https://doi.org/10.3390/atmos11030259

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