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This study validates the ERA5ERA5 reanalysis surfaceSurface wind wind climatology over EthiopiaEthiopia. The hourly ERA5ERA5 wind speed data are compared with 10 min in-situ wind observations from 13 wind mast locations. ValidationValidation assesses ERA5ERA5 accuracy in reproducing observed wind patterns, considering the diurnal cycle, annual cycle, and probability distribution. Statistical scores (mean, bias, RMSE, and correlation coefficient) quantify accuracy in wind speed representation. The results showed that ERA5ERA5 reanalysis surface windsSurface wind replicated monthly and hourly wind profilesWind profile, although it consistently underestimated wind speeds by an average ratio of 1.57 compared to observations. Correlation coefficients higher than 0.8 are observed for the majority of stations (9 out of 13), while two stations exhibit correlations between 0.7 and 0.8. The lowest correlation coefficients are 0.65 and 0.54, and they occur at Seladingay and Maymekden. A mountainous landscape with high elevations characterizes these locations. Skill scores of area overlap indicated a significant level of agreement between ERA5ERA5 and observed wind speed with an average value of 0.76, ranging from the highest score of 0.92 at Ziway to the lowest score of 0.63 at Maymekden. Overall, the results demonstrate that the ERA5ERA5 datasetDataset realistically represents the wind climatology in EthiopiaEthiopia and can potentially be used for wind energyWind energy assessment and other applications.

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Validation of the ERA5 Reanalysis Surface Winds over Ethiopia

  • 会议论文

  • 发表日期：

    2026年

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  • Petros G. Enday,
  • Mulu B. Kahsay,
  • Hailekiross A. Kiross,
  • Jan Nyssen,
  • Piet Termonia,
  • Bert Van Schaeybroeck

摘要

This study validates the ERA5ERA5 reanalysis surfaceSurface wind wind climatology over EthiopiaEthiopia. The hourly ERA5ERA5 wind speed data are compared with 10 min in-situ wind observations from 13 wind mast locations. ValidationValidation assesses ERA5ERA5 accuracy in reproducing observed wind patterns, considering the diurnal cycle, annual cycle, and probability distribution. Statistical scores (mean, bias, RMSE, and correlation coefficient) quantify accuracy in wind speed representation. The results showed that ERA5ERA5 reanalysis surface windsSurface wind replicated monthly and hourly wind profilesWind profile, although it consistently underestimated wind speeds by an average ratio of 1.57 compared to observations. Correlation coefficients higher than 0.8 are observed for the majority of stations (9 out of 13), while two stations exhibit correlations between 0.7 and 0.8. The lowest correlation coefficients are 0.65 and 0.54, and they occur at Seladingay and Maymekden. A mountainous landscape with high elevations characterizes these locations. Skill scores of area overlap indicated a significant level of agreement between ERA5ERA5 and observed wind speed with an average value of 0.76, ranging from the highest score of 0.92 at Ziway to the lowest score of 0.63 at Maymekden. Overall, the results demonstrate that the ERA5ERA5 datasetDataset realistically represents the wind climatology in EthiopiaEthiopia and can potentially be used for wind energyWind energy assessment and other applications.