Bias corrected climate scenarios over Japan based on CDFDM method using CMIP5 (NIES2019)
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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, solar radiation, wind speed, and relative humidity) are available from 1900 to 2100.
Description
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Creator
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Release date
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2019/09/01
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Temporal coverage
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1900/01/01 - 2100/12/31
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Data provider
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NIES
Email: cgerdb_admin(at)nies.go.jp |
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DOI
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File format
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Data volume
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～800 GiB
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Version
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Ver.201909 (Last updated: 2019/09/01)
Ver.202005 (Last updated: 2021/05/14) |
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Language
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English
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Data Set
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Parameters
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Daily mean Temperature (degC), Daily maximum temperature (degC), Daily minimum temperature (degC), Daily precipitation (mm/day), Global solar radiation (MJ/m2/day), 10m wind speed (m/s), and Surface relative humidity (%)
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| Domain |
Japan (122-146°E, 24-46°N, over land only)
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| Time resolution |
1 day
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| Spatial resolution |
1 x 1 km
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| Calculation method |
Bias correction using CDFDM method. 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. |
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Keywords
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[GCMD_Platform]
Models/Analyses > Climate Models
[GCMD_Science]Atmosphere > Atmospheric Temperature > Surface Air Temperature
[Free keywords]Atmosphere > Precipitation > Precipitation Amount Climate scenario, CMIP5, Bias correction, CDFDM, Impact assessment
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Update history
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[2021/05/14]
Dataset was updated by using modified method so that the monthly value corresponds to that of observation. Reference period was set from 1980 to 2018 for both of observation and GCM data. For this period, we used historical data for the period 1980-2005 and RCP8.5 experiment data for the period 2006-2018 in each GCM. Ver.202005.
[2019/09/01]Dataset was released. Ver.201909.
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References
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References
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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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The author of this data set (hereafter "Author") agrees to the use of this data set by person(s) wishing to use the data (hereafter "User") as stipulated in the Terms and Conditions below.
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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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Unless special reason exists, the User shall use the latest version of this data set.
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When publishing any Products based on the present data set, it must be clearly stated that the present data set was used.
However, the Author may request the User to delete the citation from the Product. In that case, the User shall comply with the request within reasonable extent. |
| Citation format |
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 (NIES2019), 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. |
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Advisory service
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