WRF sensitivity in topoclimates of eastern Cuba
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Keywords:
Topoclima, tropical islands, local scale
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Abstract
The research was carried out to evaluate the performance of physical parameterizations and static boundary conditions of the meteorological prediction and research model, WRF, for the study of topoclimates in the eastern region of Cuba. In three stages, short-term local climate simulations were performed with combinations of cumulus, microphysics, and planetary boundary layer parameterizations. In the third stage, the contribution to model performance of the integration of high-resolution national spatial databases as static boundary conditions was also evaluated. ERA5 was used as the initial and boundary conditions data set, with three nested domains at spatial resolutions of 30, 10 and 3.33 km. The study was carried out for the temperature and precipitation of the rainy and dry periods of 2018. The results obtained showed that, of the climatic elements under study, precipitation showed the greatest uncertainty in all experiments and case studies. Similarly, the high-resolution spatial databases that were integrated into the model as static boundary conditions influenced the performance of WRF at the local scale. The best performance of the WRF for the study of topoclimates in the eastern region of Cuba was achieved with the Kain-Fritcsh parameterizations as a cluster, the microphysics of Thompson and Yonsei University as the planetary boundary layer option, active topographic wind by the method of geoform correction.
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Peña-de la CruzA., Delgado-TéllezR., Sierra-LorenzoM., Benzanilla MorlotA., Savón-VacianoY., & Rodríguez-MontoyaL. (1). WRF sensitivity in topoclimates of eastern Cuba. Revista Cubana De Meteorología, 29(4), https://cu-id.com/2377/v29n4e07. Retrieved from http://rcm.insmet.cu/index.php/rcm/article/view/811
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Liniger, H. & Weingartner, R. 2018. “Montañas y recursos hídricos”. Revista internacional de silvicultura e industrias forestales, 49(195), ISSN: 0251-1584, Available:
Liu, P.; Qiu, X.; Yang, Y.; Ma, Y. & Jin, S. 2018. “Assessment of the Performance of Three Dynamical Climate Downscaling Methods Using Different Land Surface Information over China”. Atmosphere, 9(3): 101, ISSN: 2073-4433, DOI: 10.3390/atmos9030101.
Marta-Almeida, M.; Teixeira, J. C.; Carvalho, M. J.; Melo-Gonçalves, P. & Rocha, A. M. 2016. “High resolution WRF climatic simulations for the Iberian Peninsula: Model validation”. Physics and Chemistry of the Earth, Parts A/B/C, 94: 94–105, ISSN: 14747065, DOI: 10.1016/j.pce.2016.03.010.
Martínez-Castro, D.; Kumar, Sh.; Flores-Rojas, J. L.; Moya-Álvarez, A. S.; Valdivia-Prado, J. M.; Villalobos-Puma, E.; Del Castillo-Velarde, C. & Silva-Vidal, Y. 2019. “The Impact of Microphysics Parameterization in the Simulation of Two Convective Rainfall Events over the Central Andes of Peru Using WRF-ARW”. Atmosphere, 10(8): 442, ISSN: 2073-4433, DOI: 10.3390/atmos10080442.
Mateo-Rodríguez, J. M. 2016. Regiones y paisajes geográficos de Cuba. .
Mayor, Y. G. & Mesquita, M. D. 2015. “Numerical Simulations of the 1 May 2012 Deep Convection Event over Cuba: Sensitivity to Cumulus and Microphysical Schemes in a High-Resolution Model.”. Advances in Meteorology., 2015: 16, ISSN: http://dx.doi.org/10.1155/2015/973151.
Mellor, G. L. & Yamada, T. 1982. “Development of a turbulent closure model for geophysical fluid problems”. Rev. Geoph. Space Phys, 20: 851–875.
Montenegro, U. 1989. Procedimientos metodológicos para la investigación y caracterización del clima en las montañas de cuba. .
Montenegro, U. 1993. Caracterización Climática de las montañas de la región oriental de Cuba. Fondos de Archivo del Centro Meteorológico Provincial Guantánamo, Cuba.
Morrison, H.; Thompson, G. & Tatarskii, V. 2009. “Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes”. Monthly Weather Review, 137(3): 991–1007, ISSN: 1520-0493, 0027-0644, DOI: 10.1175/2008MWR2556.1.
Moya-Álvarez, A. S.; Martínez-Castro, D.; Flores, J. L. & Silva-Vidal, Y. 2018. “Sensitivity Study on the Influence of Parameterization Schemes in WRF_ARW Model on Short- and Medium-Range Precipitation Forecasts in the Central Andes of Peru”. Advances in Meteorology, 2018: 1–16, ISSN: 1687-9309, 1687-9317, DOI: 10.1155/2018/1381092.
Moya-Álvarez, A. S.; Martínez-Castro, D.; Kumar, Sh.; Estevan, R. & Silva-Vidal, Y. 2019. “Response of the WRF model to different resolutions in the rainfall forecast over the complex Peruvian orography”. Theoretical and Applied Climatology, ISSN: 0177-798X, 1434-4483, DOI: 10.1007/s00704-019-02782-3, Available:
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