Name | Extreme temperature and precipitation indices |
DOI | doi:10.20783/DIAS.525 |
Metadata Identifier | extreme_indices20230727092927-DIAS20221121113753-en |
Name | Toshichika Iizumi |
---|---|
Organization | Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute |
Address | 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan |
TEL | 029-838-8435 |
iizumit@affrc.go.jp |
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 |
dias-office@diasjp.net |
Name | Toshichika Iizumi |
---|---|
Organization | Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute |
iizumit@affrc.go.jp |
Name | Toshichika Iizumi |
---|---|
Organization | Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute |
iizumit@affrc.go.jp |
creation : 2017-08-08
The climate_indices dataset offers 15 temperaure and 12 precipitation extreme indices calculated using S14FD retrospective meteorological forcing dataset and CMIP5_CDFDM_S14FD bias-corrected CMIP5 GCM outputs from 1958 to 2100.
climatologyMeteorologyAtmosphere
Begin Date | 1958-01-01 |
End Date | 2100-12-31 |
Temporal Characteristics | annual. (monthly data are aveilable for some indiceas) |
North bound latitude | 90 |
West bound longitude | -180 |
Eastbound longitude | 180 |
South bound latitude | -90 |
Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
---|---|---|
column | 720 | 0.5 (deg) |
row | 360 | 0.5 (deg) |
vertical | 1 | 1 (level) |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | Climate Indicators > Terrestrial Hydrosphere Indicators | GCMD_science |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | DIAS > Data Integration and Analysis System | No_Dictionary |
File download from DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:525
name | version | specification |
---|---|---|
NetCDF | 4 |
The 15 temperature indices and 12 precipitation indices are calculated using S14FD retrospective meteorological forcing dataset and CMIP5_CDFDM_S14FD bias-corrected CMIP5 GCM outputs.
The reference (Iizumi et al., 2017) should be cited when the dataset is used.
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Please consider citing the following DOI when this dataset was used.
doi:10.20783/DIAS.525
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. "
Iizumi, T., H. Takikawa, Y. Hirabayashi, N. Hanasaki, and M. Nishimori, 2017: Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes. Journal of Geophysical Research-Atmospheres, doi: 10.1002/2017JD026613.