Scale correction, verification, and warming attribution of summer rainfall extremes over Japan for the d4PDF climate ensemble

Shao-Yi Lee, Ying-Hsin Wu, Tetsuya Takemi
Received 27 December, 2024
Accepted 17 July, 2025
Published online 23 October, 2025

Shao-Yi Lee1), Ying-Hsin Wu1), Tetsuya Takemi1)

1) Disaster Prevention Research Institute, Kyoto University, Japan

Historical climatological upper percentile rainfall over Japan from the Database for Policy Decision-making for Future climate changes (d4PDF) was compared with that from 121 rain-gauges for the 1952–2010 period. Percentiles calculated excluding or including values below 1 mm, “wet-extremes” and “all-extremes” were compared. The 5 km d4PDF hourly wet (all) extremes matched rain-gauges at 72% (45%) of the locations, but for daily extremes this was 39% (33%). Further comparison with radar-AMeDAS (Automated Meteorological Data Acquisition System) was made for hourly extremes in the 2006–2021 period. Wet (all) extremes matched for 84% (79%) of rain-gauges, and 80% (51%) also matched radar-AMeDAS at the same locations. Exceedance probabilities were calculated for historical and 4 K warmer climates using thresholds based on a non-warming climate. Historically, hourly (daily) extremes were more frequent over most of (eastern) Japan. In a 4 K warmer climate, daily extremes would become more frequent over most of Japan. Rainfall from 5 km d4PDF at hourly and daily resolutions are provided in prefecture and river basin subsets, with compressed sizes of each below 1 Gigabyte.

[Full Text]

Copyright (c) 2025 The Author(s) CC-BY 4.0

Back to Top ↑