Assessment of the Weather Research and Forecasting model implementation in Cuba addressed to diagnostic air quality modeling

Developmental Biology

Gil Capote Mastrapa¹  Madeleine Sanchez Gacita²  Arnoldo Bezanilla Morlot³  Israel Borrajero Montejo³  Lourdes Alvarez Escudero³  Leonor Turtos Carbonell¹  Saturnino Pire Rivas⁴  Yasser Fonseca Rodriguez¹  Elieza Meneses Ruiz¹ 

[1] Centro de Gestión de la Información y Desarrollo de la Energía, CUBAENERGIA, Calle 20, No.4111 e/18a y 47, Miramar, Playa, La Habana, Cuba$$;Centro de Previsão de Tempo e Estudos Climáticos – CPTEC/INPE, Brazil$$;Instituto de Meteorología de Cuba, INSMET, Cuba$$;Instituto Superior Politécnico José Antonio Echeverría, Cuba$$

关键词: WRF model;    AERMOD model;    air quality modeling;    statistical analysis;    photochemical modeling;   

DOI  :  10.5094/APR.2013.007

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

This paper evaluates the implementation of the Weather Research and Forecasting model, WRF, for its use as the meteorological pre–processor for diagnostic air quality modeling in Cuba. The implementation of the WRF involved two studies: the first one was aimed at defining which global meteorological data is more suited for Cuba; the second one consisted of an analysis of the results for long–term runs on two domains, with the specific objective of assessing the general performance of the model. The results of the model were compared with the observations of the National Weather Service surface stations. The comparisons showed good performance for temperature and acceptable performance for prediction of wind tendencies. On average, the wind speed is overestimated in the model and the wind direction deviations exceed 30 degrees for several of the meteorological stations. These deviations are related to nearby topography and the low–wind speed. Some additional studies must be conducted in order to clarify and reduce the wind deviations. The research concludes that the WRF output is able to provide realistic meteorological patterns for air quality models, which require high–resolution three–dimensional (3D) meteorological data. The WRF–fsl tool was developed to use WRF to feed the local models as AERMOD when upper air data is not available. This tool takes the WRF output and gets the upper air data, in the fsl radiosonde format. The WRF–fsl results were compared to other solution, which incorporates a surface data parameterization. The conclusion is that the efforts, to run WRF for long periods, are not justified with the improvement in the results for regulatory purposes. However, as the differences in convective mixing height could be significant, this solution would be very useful for other kind of studies.

【 授权许可】

Unknown   

【 预 览 】

附件列表

Files	Size	Format	View
RO201912040527705ZK.pdf	3083KB	PDF