CCCA ロゴ
nies-logo nies-logo

The climate scenario datasets provided on this site with permission for distribution is as follows.

Datasets accessible after logging in

The datasets below are distributed allowing you to download data through Data Download function. GCM stands for Global Climate Model, and RCM stands for Regional Climate Model. Also, any dataset not written as "historical" is a prediction of the future.

Dataset Domain Remarks
CIMP5 Global Raw (before bias correction) GCM output values
CMIP6 Global Raw (before bias correction) GCM output values
CMIP6-CDFDM Global Bias-corrected GCM output values
CMIP3 Global Raw (before bias correction) GCM output values
ISIMIP-FT Global Bias-corrected GCM output values
ISIMIP-2b Global Bias-corrected GCM output values
ISIMIP-3 Global Bias-corrected GCM output values
d4PDF Global GCM output values for multi-ensemble
Historical Global Historical climate data
NHRCM02 Japan Raw (before bias correction) RCM output values
NHRCM02_BC Japan Bias-corrected RCM output values
NARO2017 Japan Bias-corrected GCM output values
NIES2019 Ver1 Japan Bias-corrected GCM (CMIP5) output values
NIES2019 Ver2 Japan Bias-corrected GCM (CMIP5) output values
NIES2020 Japan Bias-corrected GCM (CMIP6) output values

Datasets downloadable without logging in

Here is a link to a page where you can download the data in NetCDF format. Since there is no Data Download function, you cannot select the data period, spatial area, spatial resolution, etc.

Dataset Domain Remarks
NIES2020 Japan Bias-corrected GCM (CMIP6) output values
NIES2019 Japan Bias-corrected GCM (CMIP5) output values
d4PDF Global Bias-corrected d4PDF data (60km resolution)
hess2013 Global Water withdrawal data(Hanasaki et al. 2013
hess2018 Global Historical water withdrawal data(Hanasaki et al. 2018
s14 Global S-14 Project Common Climate Scenario (also known as S14FD)
s8 Japan S-8 Project Common Climate Scenario
seto Japan Prediction Dataset of Climate Change Impact on Water Environment in the Seto Inland Sea
jpn_hourly_wbgt Japan The projected high-resolution hourly dataset of wet-bulb globe temperature in Japan