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Published August 4, 2023 | Version 1.0
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Historical Reconstruction Dataset of Hourly Expected On-Shore Wind Generation in Japan

  • 1. Waseda University
  • 2. Central Research Institute of Electric Power Industry

Description

This is a historical reconstruction dataset of hourly expected wind generation based on dynamically downscaled atmospheric reanalysis for assessing the spatio-temporal impact of on-shore wind in Japan.

The dataset consists of a set of netCDF files with yearly archives of reconstruction results from 1958 to 2012; hourly expected on-shore wind power potential in Japan with a spatial resolution of approximately 5 km mesh has been reconstructed from the numerical weather model reanalysis results. The expected per-unit output values at each location were calibrated using a nonparametric machine learning model that learns statistical relationships between spatial/meteorological features of target locations and actual wind farm outputs.

A convenient way to handle this dataset would be to use a tool for manipulating netCDF files, such as CDO: Climate Data Operators.

Notes

The reanalysis data used to generate this reconstruction dataset were provided by the Japan Meteorological Agency.

Files

Files (29.2 GB)

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Additional details

References