Wind and Gust Forecasts Assessment of Weather Research and Forecast (WRF) Model in Córdoba, Argentina

Suárez, Matías; Poffo, Denis; Pierobon, Edgardo; Martina, Agustín; Saffe, Jorge; Rodríguez, Andrés

doi:10.5572/ajae.2021.133

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…This knowledge is essential for minimizing undesirable shading effects. Wind roses, which present combined data on wind speed and direction, are a valuable tool for visually representing this crucial information [64,68,69].…”

Section: Analysis Of Wind Directionmentioning

confidence: 99%

An evaluation of the reliability of the Weather Research Forecasting (WRF) model in predicting wind data: a case study of Burundi

Placide,

Lollchund

2024

BMC Environ Sci

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Background The Weather Research and Forecasting (WRF) Model is an exceptional software for mesoscale climate modeling. It is extensively used to simulate key meteorological variables, including temperature, rainfall, and wind. Methods This study thoroughly examined the effectiveness of the WRF model in generating precise wind data for assessing the potential of wind power in Burundi. A meticulous evaluation of various combinations of model physics parameterization schemes was conducted to ensure accuracy. By comparing the simulated data with measurements from four meteorological stations and utilizing statistical metrics such as root-mean-square error (RMSE) and bias, the accuracy of the WRF model was determined. Results The findings of the study uncovered that utilizing WRF Single-Moment 3-Class (WSM3) for microphysics, Grell-Devenyi ensemble for cumulus physics, and Yonsei University for planetary boundary layer yields highly accurate wind data results for Burundi. Furthermore, the WRF model was utilized to create detailed seasonal and annual mean wind maps with a high resolution. Conclusion These maps demonstrated that the western part of Burundi experiences higher wind speeds (ranging from 4 to 9.7 m/s) during the dry seasons revealing the potential for wind energy harvesting in the different areas of Burundi.

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Section: Analysis Of Wind Directionmentioning

confidence: 99%

An evaluation of the reliability of the Weather Research Forecasting (WRF) model in predicting wind data: a case study of Burundi

Placide,

Lollchund

2024

BMC Environ Sci

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Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America

Bautista,

Ruiz,

Salio

et al. 2024

J. South. Hemisph. Earth Syst. Sci.

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Understanding carbon dioxide (CO2) surface fluxes is essential in the context of a changing climate. In particular, agriculture significantly contributes to CO2 fluxes. Recently, some studies have focused on understanding how synoptic-scale variability modulates CO2 fluxes associated with vegetation and agriculture, finding that frontal passages and precipitation events exert a strong influence on these fluxes. This variability is particularly relevant in the Argentinean Pampas, where large CO2 fluxes associated with extensive agriculture combine with strong synoptic variability. Numerical modelling provides a valuable tool for investigating surface CO2 fluxes and their variability, despite the uncertainties associated with the model’s limitations. In this work, we investigate simulated CO2 fluxes in the Argentinean Pampas using the Weather Research and Forecasting Model (WRF) coupled with the Vegetation, Respiration and Photosynthesis Model (VPRM) over three case studies representing different synoptic-scale conditions. In addition, we estimate the uncertainty in the simulations by comparing simulated CO2 fluxes using various WRF configurations and the ERA5 reanalysis. We found that the synoptic-scale conditions have a considerable impact on the magnitude of fluxes as well as the simulation uncertainty. Uncertainties in simulated CO2 fluxes can be as high as 60%, being larger at sunrise and sunset. Also, the largest uncertainty is associated with a case with a cold frontal passage and widespread precipitation. These results allow a more accurate estimation of CO2 flux uncertainty, which is key to understanding the effects of climate change.

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Performance of the WRF Model in the Wind Speed Simulation in the Semiarid Region of Northeast Brazil

Santos

Lyra

Júnior

et al. 2022

Preprint

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This study aimed to evaluate the performance of the Weather Research and Forecasting (WRF) mesoscale model in the simulation of wind speed in the semiarid region of Northeast Brazil (NEB). The accuracy of the simulations was determined by comparing between forecast (WRF) and observed (OBS) values with an average every 10 minutes. The measurements were made in a 100 m high anemometric tower during the execution of the Project Previsão do Vento em Parques Eólicos do Nordeste Brasileiro – PVPN. The tower was installed in a flat semiarid location in Craíbas, Alagoas - NEB. The period analyzed was five months (2015/03/01 to 2015/07/31). The analysis was performed using descriptive statistics (DS) including central and dispersion measures; bivariate statistics (BS) that includes the correlations (Pearson, Kendall and Spearman) with a t-Student hypothesis test to verify the representativeness of the correlations, and errors statistics (ES) with equations to verify the effectiveness of the simulation; Simple Linear Regression (SLR); Normal and Weibull probability density function (PDF); Principal Component Analysis (PCA). In addition to the temporal assessment of wind speed, temporal distribution of the average daily cycle (ADC), boxplot, scatterplot (1:1) and relative frequency distribution. The results showed that the simulation made by the WRF model reproduced well the daily temporal evolution of the wind in the studied period with a small tendency of underestimation. These results indicate the potential of the WRF model in the modeling of wind speed for the region studied and can contribute to the production of wind energy.

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Wind and Gust Forecasts Assessment of Weather Research and Forecast (WRF) Model in Córdoba, Argentina

Cited by 3 publications

References 16 publications

An evaluation of the reliability of the Weather Research Forecasting (WRF) model in predicting wind data: a case study of Burundi

An evaluation of the reliability of the Weather Research Forecasting (WRF) model in predicting wind data: a case study of Burundi

Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America

Performance of the WRF Model in the Wind Speed Simulation in the Semiarid Region of Northeast Brazil

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Wind and Gust Forecasts Assessment of Weather Research and Forecast (WRF) Model in Córdoba, Argentina

Cited by 3 publications

References 16 publications

An evaluation of the reliability of the Weather Research Forecasting (WRF) model in predicting wind data: a case study of Burundi

An evaluation of the reliability of the Weather Research Forecasting (WRF) model in predicting wind data: a case study of Burundi

Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America

Performance of the WRF Model in the Wind Speed ​​Simulation in the Semiarid Region of Northeast Brazil

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Performance of the WRF Model in the Wind Speed Simulation in the Semiarid Region of Northeast Brazil