Record Details

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

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Data for: A 0.01-degree gridded precipitation dataset for Japan, 1926-2020
 
Identifier https://doi.org/10.7910/DVN/J215UY
 
Creator Hatono, Misako
Kiguchi, Masashi
Yoshimura, Kei
Kanae, Shinjiro
Kuraji, Koichiro
Oki, Taikan
 
Publisher Harvard Dataverse
 
Description 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
 
Subject Earth and Environmental Sciences
 
Contributor Hatono, Misako