Avaliação de Séries de Velocidade do Vento de Produtos de Reanálises Climáticas para o Brasil

Siefert, Cesar Augusto Crovador; Netto, Nicolas Dombrowski; Marangon, Fernando Helmuth Syring; Schultz, Gilson Bauer; Silva, Luan Marcus dos Reis; Fontenelle, Thiago Henriques; Santos, Irani dos

doi:10.1590/0102-7786360026

Cited by 10 publications

(7 citation statements)

References 36 publications

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“…Therefore, it is crucial to first assess the performance of the ECMWF-ERA5 reanalysis data relative to observed data on a seasonal basis. The quality of these data within Brazilian territory remains unknown [ 21 ], particularly for the NEB, which is characterized by high natural climatic variability [ 54 ]. This variability is influenced by atmospheric systems operating on different temporal and spatial scales, including the Intertropical Convergence Zone (ITCZ), High-Level Cyclonic Vortices (HLV), Frontal Systems (FS), Easterly Wave Disturbances (EWD) and South Atlantic Convergence Zone (SACZ) [ 55 , 56 ].…”

Section: Discussionmentioning

confidence: 99%

Wind power density in areas of Northeastern Brazil from Regional Climate Models for a recent past

Gurgel,

Sales,

Lima

2024

PLoS ONE

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Investments in renewable energy sources are increasing in several countries, especially in wind energy, as a response to global climate change caused by the burning of fossil fuels for electricity generation. Thus, it is important to evaluate the Regional Climate Models that simulate wind speed and wind power density in promising areas for this type of energy generation with the least uncertainty in recent past, which is essential for the implementation of wind farms. Therefore, this research aims to calculate the wind power density from Regional Climate Models in areas at Northeast of Brazil from 1986 to 2005. Initially, the ECMWF-ERA5 reanalysis data was validated against observed data obtained from Xavier. The results were satisfactory, showing a strong correlation in areas of Ceará and Rio Grande do Norte (except during the SON season), and some differences in relation to the wind intensity registered by observed data, particularly during the JJA season. Then, the Regional Climate Models RegCM4.7, RCA4 and Remo2009 were validated against the ECMWF-ERA5 reanalysis data, with all models successfully representing the wind speed pattern, especially from December to May. Four specific areas in Northeast of Brazil were selected for further study. In these areas, the RCMs simulations were evaluated to identify the RCM with the best statistical indices and consequently the lowest associated uncertainty for each area. The selected RCMs were: RegCM4.7_HadGEM2 (northern coastal of Ceará and northern coastal of Rio Grande do Norte) and RCA4_Miroc (Borborema and Central Bahia). Finally, the wind power density was calculated from the selected RCM for each area. The northern regions of Rio Grande do Norte and Ceará exhibited the highest wind power density.

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Section: Discussionmentioning

confidence: 99%

Wind power density in areas of Northeastern Brazil from Regional Climate Models for a recent past

Gurgel,

Sales,

Lima

2024

PLoS ONE

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“…Due to the limitation of hourly wind speed and the spatialization of these two variables over the lakes, we used wind speed data from the ERA5 reanalysis . This surface wind speed product has already been validated in Brazil, and other reanalysis products have also been used in studies of climate change impacts over lakes. , …”

Section: Methodsmentioning

confidence: 99%

“…where T skin is the temperature difference resulting from the cool-skin effect, and u 10 is the wind speed measured at 10 m. Due to the limitation of hourly wind speed and the spatialization of these two variables over the lakes, we used wind speed data from the ERA5 reanalysis. 44 This surface wind speed product has already been validated in Brazil, 45 and other reanalysis products have also been used in studies of climate change impacts over lakes. 14,17 Unidimensional wind velocities (u x − u y ) at 10 m above ground are provided at an hourly frequency on a 0.5 × 0.5°g rid and were downloaded from NCAR's Research Data Archive (https://rda.ucar.edu/datasets/ds633.0/) and pro-…”

Section: ■ Introductionmentioning

confidence: 99%

High Spring Warming Rates in an Extensive Subtropical Shallow Lakes System Detected Using MODIS Imagery

Tavares,

Cardoso,

Motta Marques

et al. 2024

ACS EST Water

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The effects of climate change on lake surface water temperature (LSWT) have been well documented in the northern hemisphere but are less understood in the south, particularly in shallow lakes. Here we investigated the warming rates of three large shallow lakes in southern Brazil using a comprehensive 60 year meteorological data set and a 20 year LSWT time series derived from MODIS. Our findings reveal substantial and consistent regional lake water warming concentrated in spring (0.5 °C dec −1 ) and, to a lesser extent, summer (mean trend of 0.3 °C dec −1 ) and annual trends (0.3 °C dec −1 ), in fair agreement with air temperature trends. The data showed an increase in mean, maximum, and minimum air temperatures in these periods, along with a shortening of the cold season for air (−6.3 days dec −1 ) and water (−11.6 days dec −1 ), with all these changes exhibiting heightened intensity in the last 20 years. The remote sensing data showed a fair homogeneity in the warming rates within the lakes but marked spatial differences, possibly owing to the effects of climate change on the tributaries. The warming rates found here can result, for example, in anticipation of phytoplankton phenology and alteration in the functional groups, while the spatial differences in the warming may have additional ecological impacts.

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“…El CC denota el grado de correlación entre los PPS y las mediciones del pluviómetro con valores que van de -1 a 1. En general, para una correlación lineal positiva Crovador et al (2021) clasifica como un ajuste débil cuando el CC < 0.5, moderado entre 0.5 y 0.7, y fuerte para valores de CC > 0.7. La RMSE mide el grado de error, mientras que el PBIAS el sesgo.…”

Section: Métodounclassified

Evaluación de Productos de Precipitación Satelital sobre la Cuenca del Lago Titicaca

Laura¹,

Díaz

Tapia³

et al. 2023

Rev. bras. meteorol.

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Resumen Los productos de precipitación satelital (PPS), proporcionan una fuente alternativa para aplicaciones hidrometeorológicas principalmente en áreas donde los datos de precipitación son limitados. Sin embargo, es necesario evaluar los PPS para cuantificar la incertidumbre en la estimación de la precipitación. Este estudio tuvo como objetivo evaluar el desempeño de los PPS GSMaP-G-NRT, PERSIANN-CCS, PERSIANN-CDR y PERSIANN sobre la cuenca del Lago Titicaca (CLT). Para la evaluación de los PPS se utilizaron tres métricas de desempeño que evaluaron la precisión (coeficiente de correlación, CC), error (raíz del error cuadrático medio, RMSE) y sesgo (sesgo porcentual, PBIAS). Los resultados indican que PERSIANN-CDR y PERSIANN-CCS son los productos que muestran una mayor concordancia con las mediciones de pluviómetros, pero con un gran sesgo para PERSIANN-CCS. Los hallazgos proporcionan una idea del rendimiento de PPS en la CLT que contribuye a posibles direcciones de mejora de los algoritmos para un mejor servicio en aplicaciones hidrometeorológicas.

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Avaliação de Séries de Velocidade do Vento de Produtos de Reanálises Climáticas para o Brasil

Cited by 10 publications

References 36 publications

Wind power density in areas of Northeastern Brazil from Regional Climate Models for a recent past

Wind power density in areas of Northeastern Brazil from Regional Climate Models for a recent past

High Spring Warming Rates in an Extensive Subtropical Shallow Lakes System Detected Using MODIS Imagery

Evaluación de Productos de Precipitación Satelital sobre la Cuenca del Lago Titicaca

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