Published June 7, 2024
| Version 1.2
Dataset
Open
Historical Reconstruction Dataset of Hourly Expected On-Shore Wind Generation in Japan
Creators
- 1. Waseda University
- 2. Central Research Institute of Electric Power Industry
Description
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.
Associated Publication
- Yu Fujimoto, Masamichi Ohba, Yujiro Tanno, Daisuke Nohara, Yuki Kanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, and Wataru Wayama, "Historical Reconstruction Dataset of Hourly Expected Wind Generation Based on Dynamically Downscaled Atmospheric Reanalysis for Assessing Spatio-Temporal Impact of On-Shore Wind in Japan", Big Earth Data, doi: 10.1080/20964471.2024.2374044
Version history
- Ver. 1.0: Released.
- Ver. 1.1: The preprocessing of the source information used for dataset preparation has changed.
- Ver. 1.2: The hyperparameter tuning scheme for the post-processing model has changed.
Notes
The reanalysis data used to generate this reconstruction dataset were provided by the Japan Meteorological Agency.
- 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.
Files
readme.pdf
Files
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Additional details
Related works
- Is published in
- Journal: 10.1080/20964471.2024.2374044 (DOI)
References
- Yu Fujimoto, Masamichi Ohba, Yujiro Tanno, Daisuke Nohara, Yuki Kanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, and Wataru Wayama. (2024): Historical Reconstruction Dataset of Hourly Expected Wind Generation Based on Dynamically Downscaled Atmospheric Reanalysis for Assessing Spatio-Temporal Impact of On-Shore Wind in Japan. Big Earth Data. http://doi.org/10.1080/20964471.2024.2374044