Assessment of the sensitivity of the WRF model using different PBL schemes over the Metropolitan Region of Salvador
Yasmin Kaore Lago Kitagawa1; Erick Giovani Sperandio Nascimento2; Noéle Bissoli Perini de Souza1; Georgynio Yossimar Rosales Aylas2; Pedro Junior Zucatelli1; Nadir Salvador1; Davidson Martins Moreira1
1 Universidade Federal do Espírito Santo; 2 Centro Integrado de Manufatura e Tecnologia
doi:10.20906/CPS/CILAMCE2017-0647
Resumo
Sensitivity of the Weather Research and Forecasting (WRF) model v3.9 has been performed using six planetary boundary layer (PBL) schemes -Bougeault and Lacarrere (BouLac), Grenier and Bretherton (GBM), Mellor-Yamada-Janjić (MYJ), Mellor-Yamada-Nakanishi-Niino (MYNN), Bretherton and Park (UW) and Yonsei University (YSU) - over the Metropolitan Region of Salvador (RMS), in order to provide surface meteorological parameters during the wet (April) and the dry (November) season of 2016. Exchanges of moisture, heat, and momentum occur within the PBL through mixing associated with turbulent eddies. These eddies influence the way in which lower-tropospheric thermodynamic and kinematic structures evolve. Such eddies operate on spatiotemporal scales that cannot be explicitly represented on grid scales and time steps employed in most mesoscale models. As such, their effects are expressed in these models via the use of PBL parameterization schemes. The RMS is an urban-industrial area, and is formed by 13 cities, being Salvador the major city and also the capital of the state of Bahia. The choice of this region was due to its growing industrialization and urbanization, leading to potential transformations in the environmental conditions, besides the fact that there is no previous work performing any assessment in this area using WRF model. Furthermore, simulations with numerical models have been mostly tested in subtropical and higher latitude regions, and very few studies exist over tropical and lower latitude regions. Therefore, this study aims to evaluate the performance of these parameterizations, selecting the best option for the RMS for the purpose of contribute with scientific background on the local atmospheric circulation (for example, air pollution problems) and researches related to eolic and solar energy in the region. Statistical analysis of mean bias (MB), root mean square error (RMSE) and correlation coefficient (r) were carried out between the measured and simulated data. Results indicate that there were
Palavras-chave: planetary boundary layer; WRF model; atmospheric modeling; Bahia