Assessment of the sensitivity of the WRF model using different PBL schemes over the Metropolitan Region of Salvador

Kitagawa, Yasmin Kaore Lago; Nascimento, Erick Giovani Sperandio; Souza, Noéle Bissoli Perini de; Aylas, Georgynio Yossimar Rosales; Zucatelli, Pedro Junior; Salvador, Nadir; Moreira, Davidson Martins

doi:10.20906/cps/cilamce2017-0647

Cited by 2 publications

(4 citation statements)

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“…In order to identify and select a better set of physical parameterizations for the Bahia region, future work will be carried out with the aim of testing the PLC schemes. Initially in this article, the MYJ scheme for PBL was used as the initial condition, identified as the best option for the Metropolitan Region of Salvador by Kitagawa et al [24], located within the region of study of this work, however it does not cover the entire extension, which is the entire state of Bahia. Thus, it will be necessary to carry out new simulations in order to test the PBL schemes, to obtain better results.…”

Section: Discussionmentioning

confidence: 99%

“…The simulations were carried out monthly for the months of January, February, May, June and September, including 24h spin-up to obtain realistic initial conditions, that is, the simulation for each month was started from 00:00 UTC on last day of the previous month. Regarding the physical parameterization of the model, Kitagawa et al [24] highlights the scheme Mellor-Yamada-Janjić -MYJ [25] as the best planetary boundary layer scheme (PBL) for the Metropolitan Region of Salvador (MRS) and, consequently, Eta similarity as the best superficial layer scheme (LS). Since Salvador is the capital of Bahia, and since there are no other studies on this subject for the state, the MYJ and Eta schemes were initially used in this work to parameterize the planetary boundary layer and the superficial layer, respectively.…”

Section: Model Configurationmentioning

confidence: 99%

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Evaluation of Microphysical Parameterizations of the WRF Model in a Tropical Region

Souza¹,

Nascimento²,

Moreira³

2020

Blucher Engineering Proceedings

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The performance evaluation of the Weather Research and Forecasting (WRF) model was carried out using eight microphysics schemes in order to identify the best parameters for the most and least rainy periods. The modeling results were compared with the observational data from a tower located in the municipality of Esplanada, in the state of Bahia, with anemometers at heights of 80, 100, 120 and 150 m. In general, it was found that all tested schemes can be used in tropical regions, however, it can be concluded that Eta and Kessler showed better performances for the more and less rainy period, respectively, in addition to overestimating the speed.

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Section: Discussionmentioning

confidence: 99%

Section: Model Configurationmentioning

confidence: 99%

Evaluation of Microphysical Parameterizations of the WRF Model in a Tropical Region

Souza¹,

Nascimento²,

Moreira³

2020

Blucher Engineering Proceedings

Self Cite

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“…The other parameterization schemes were maintained constant during the simulations. The 5class WRF Single-Moment (WSM5) microphysics scheme (Hong et al, 2004) was chosen following Kitagawa et al (2017), who studied the Metropolitan Region of Salvador (RMS) in the state of Bahia and obtained good estimates for the variables of wind speed and direction. The…”

Section: Combinations Of Pbl and Lsm Schemesmentioning

confidence: 99%

“…The WRF model offers several types of PBL parameterization, each of which corresponds to a distinct parameterization of the flow divergence terms (turbulent part) of the governing atmospheric flow equations to capture the trends of the variables induced by these terms. Several previous studies have proposed optimal PBL parameterization schemes (Hariprasad et al, 2014;Boadh et al, 2016;Salvador et al, 2016b;Avolio et al, 2017;Imran et al, 2017;Kitagawa et al, 2017). Further, the WRF model provides certain LSM schemes to calculate soil temperature profiles, surface temperature profiles, soil moisture profiles, snow covers, and canopy properties.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of the WRF model in a tropical region: wind speed analysis at different sites

Souza

Nascimento²,

Moreira³

2021

ATM

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In this study, the performance of the mesoscale Weather Research and Forecasting (WRF) model is evaluated using combinations of three Planetary Boundary Layer (PBL) and three Land Surface Model (LSM) schemes, in order to identify the optimal parameters for the determination of wind speed in a tropical region. The state of Bahia in Brazil is selected as the location for the case study and simulations are performed over a period of eight months between 2015 and 2016. This is done to ensure that the dry and rainy seasons at the three different experimental sites—Esplanada, Mucuri, and Mucugê—are well separated from each other. The results of the simulations are compared with the observational data obtained from three towers equipped with anemometers at heights of 80, 100, 120 and 150 m, strategically placed at each site. Overestimation of wind speed is observed in the simulations, despite similarities between the simulated and observed wind directions. In addition, the accuracies of simulations corresponding to sites that are closer to the ocean are observed to be lower—the most accurate wind speed estimates are obtained corresponding to Mucugê, which is located farthest from the ocean. Finally, analysis of the results obtained from each tower accounting for periods with higher and lower precipitation reveals that the combination of the PBL-YSU scheme with the LSM-RUC scheme yields the best results.

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Assessment of the sensitivity of the WRF model using different PBL schemes over the Metropolitan Region of Salvador

Cited by 2 publications

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Evaluation of Microphysical Parameterizations of the WRF Model in a Tropical Region

Evaluation of Microphysical Parameterizations of the WRF Model in a Tropical Region

Performance evaluation of the WRF model in a tropical region: wind speed analysis at different sites

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