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<p>The Southwestern South Atlantic (SWSA) is a key region for climate research and renewable energy assessment, yet high-resolution meteorological data are scarce. We present a multiresolution dataset spanning February 2017-November 2018, combining Weather Research and Forecasting (WRF) simulations with Sentinel-1A/B Synthetic Aperture Radar (SAR) wind fields processed using the CMOD5 model. WRF outputs were generated every 30 minutes for three nested domains (9 km, 3 km, 1 km) through 325 short-term simulations. SAR/CMOD5 wind fields are provided at 500 m and 1 km resolution across 104 acquisition dates. Validation shows strong agreement: daily spatial averages of 10 m wind speed yield RMSE and MAE below 3 m/s on over 93% of acquisition days, while more than 91.5% of pixel-level deviations fall within ±3 m/s. In situ measurements from the Itajaí buoy further confirmed the reliability of both sources. The dataset supports regional climate studies, wind energy resource assessment, and machine-learning applications in forecasting and downscaling, with usage examples included to aid practical adoption.</p>

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A multiresolution weather dataset for the Southwestern South Atlantic (2017–2018)

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月15日

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  • Luan Vieira,
  • Lívia Sancho,
  • Mauricio S. Silva,
  • Elisa Passos,
  • Larissa F. R. Jacinto,
  • Rebeca S. Lyra,
  • Nilton O. Moraes,
  • Carina S. Bock,
  • Douglas M. Nehme,
  • Raquel Toste,
  • Jacques Honigbaum,
  • Rodrigo S. Luna,
  • Carlos H. Beisl,
  • Patricia M. Silva,
  • Adriano O. Vasconcelos,
  • Rian C. Ferreira,
  • Cédric Eneau,
  • Fernando A. Rochinha,
  • Luiz P. F. Assad,
  • Alvaro L. G. A. Coutinho,
  • Laura Bahiense,
  • Luiz Landau,
  • Alexandre G. Evsukoff

摘要

The Southwestern South Atlantic (SWSA) is a key region for climate research and renewable energy assessment, yet high-resolution meteorological data are scarce. We present a multiresolution dataset spanning February 2017-November 2018, combining Weather Research and Forecasting (WRF) simulations with Sentinel-1A/B Synthetic Aperture Radar (SAR) wind fields processed using the CMOD5 model. WRF outputs were generated every 30 minutes for three nested domains (9 km, 3 km, 1 km) through 325 short-term simulations. SAR/CMOD5 wind fields are provided at 500 m and 1 km resolution across 104 acquisition dates. Validation shows strong agreement: daily spatial averages of 10 m wind speed yield RMSE and MAE below 3 m/s on over 93% of acquisition days, while more than 91.5% of pixel-level deviations fall within ±3 m/s. In situ measurements from the Itajaí buoy further confirmed the reliability of both sources. The dataset supports regional climate studies, wind energy resource assessment, and machine-learning applications in forecasting and downscaling, with usage examples included to aid practical adoption.