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
Files
Files
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Additional details
References
- Kayaba, N. et al. (2016): Dynamical Regional Downscaling Using the JRA-55 Reanalysis (DSJRA-55). SOLA, 12, 1-5. http://doi.org/10.2151/sola.2016-001.