Bias corrected climate scenarios over Japan based on CDFDM method using CMIP5

Papers citing this dataset
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Name Bias corrected climate scenarios over Japan based on CDFDM method using CMIP5
Edition Ver. 202005
Abbreviation NIES2019
DOI doi:10.17595/20200415.001
Metadata Identifier NIES2019_jpnCDFDM_CMIP520230727103943-DIAS20221121113753-en



Name Noriko N. Ishizaki
Organization National Institute for Environmental Studies


Data Integration and Analysis System

Name DIAS Office
Organization Japan Agency for Marine-Earth Science and Technology
Address 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan


Name Noriko N. Ishizaki


Name Noriko N. Ishizaki




  • revision : 2021-05-14



This dataset is bias corrected climate scenarios over Japan with the spatial resolution 1km using CMIP5. Four GCMs were selected from CMIP5; MIROC5, MRI-CGCM3, HadGEM2-ES, and GFDL-CM3. Regarding the GHGs emission pathways, RCP2.6 and RCP8.5 were used. CDFDM proposed by Iizumi et al. (2010; 2011; 2012; 2014; 2017) was applied, which is a non-parametric method in which the error is identified and corrected in each percentile. Daily data for seven variables (daily mean, max, min temperature, precipitation, global solar radiation, surface wind speed, and relative humidity) are available from 1900 to 2100. The abbreviations of the variables in the download page are tas [degree C], tasmax [degree C], tasmin [degree C], pr [mm/day], rsds [MJ/m2/day], sfcwind [m/s], and rhs [%], respectively.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1900-01-01
End Date 2100-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 46
West bound longitude 122
Eastbound longitude 146
South bound latitude 24


Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 1920 1 (km)
column 2640 1 (km)


Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
discipline Climate scenario, Bias adjustment, CDFDM, Impact assessment CMIP5 Bias correction

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary


Data Processing (1)

General Explanation of the data producer's knowledge about the lineage of a dataset

Bias correction using CDFDM method was applied to CMIP5 dataset. The CDF for the calibration period was conducted for early- (January to June) and late-seasons (July to December), respectively. Daily observational data from 1980 to 2018 were utilized to maximize the reference period. As the historical period was defined up to 2005 in CMIP5, we employed daily GCM data from 1967 to 2005 to define the GCM error. As reference data, we used the Agro-Meteorological Grid Square Data (Ohno et al. 2016). Data formats were based on the Gregorian calendar.

Monthly mean based on the daily data is also provided.


Data Policy by the Data Provider

The User should not re-distribute the data to third party. The User may publish new intellectual products (hereafter "Products") based on this data set.

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Acknowledge the Data Provider

When this data set is referred to in publications, it should be cited in the following format.

Ishizaki, N. N., 2020: Bias corrected climate scenarios over Japan based on CDFDM method using CMIP5, Ver.xxxxxx *1, Center for Global Environmental Research, NIES, doi:10.17595/20200415.001, (Reference date*2: YYYY/MM/DD)

*1 Please indicate the version number you used the data.

*2 As the reference date, please indicate the date you downloaded the files.

Acknowledge the Project

Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "


Ishizaki, N. N., M. Nishimori, T. Iizumi, H. Shiogama, N. Hanasaki, and K. Takahashi (2020) Evaluation of two bias-correction methods for gridded climate scenarios over Japan. SOLA, 16, 80-85., doi:10.2151/sola.2020-014.

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