Data for: A 0.01-degree gridded precipitation dataset for Japan, 1926-2020

This dataset provides a 0.01-degree gridded precipitation dataset of Japan based on historical observation datasets covering 1926 to 2020. Historical observations conducted by the Japan Meteorological Agency and Japanese bureaucratic agencies were spatially interpolated using the inverse distance weighting method at daily and hourly temporal resolutions. Optimal parameterization for our interpolation process was selected by comparing interpolated results of various parameter combinations with precipitation observation conducted by the University of Tokyo Forests. We conducted cross-validation for over 1,000 stations with sufficient data throughout our data period and verified our product can reproduce the temporal variability of local precipitation. The strong points of our precipitation dataset are the abundance of point precipitation source data and its high spatiotemporal resolution. We expect our dataset to be highly relevant to various future studies as it can serve as forcing data for hydrological models or a database for analyzing the characteristics of historical rainfall events. The description paper is published in Scientific Data. Hatono, M. et al. A 0.01-degree gridded precipitation dataset for Japan, 1926-2020. Scientific Data 9, 422 (2022). https://doi.org/10.1038/s41597-022-01548-3