| |
| Name | Bias-corrected CMIP5 GCM daily data |
| DOI | doi:10.20783/DIAS.524 |
| Metadata Identifier | CMIP5_CDFDM_S14FD20230727092847-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 CMIP5_CDFDM_S14FD dataset is bias-corrected CMIP5 GCM daily data developed using CDFDM as the bias-correction method and S14FD as the reference. The dataset offers daily data of 11 climatic variables over the globe from 1961 to 2100 under 4 RCPs and 8 GCMs. The data over the sea and Antarctica are not bias-corrected (i.e., the raw GCM data were used), whereas those over the land are bias-corrected. Variables include daily mean 2m air temperature (tave2m, °C), daily maximum 2m air temperature (tmax2m, °C), daily minimum 2m air temperature (tmin2m, °C), daily total precipitation (precsfc, mm d-1), daily mean downward shortwave radiation flux (dswrfsfc, W m-2), daily mean downward longwave radiation flux (dlwrfsfc, W m-2), daily mean 2m relative humidity (rh2m, %), daily mean 2m specific humidity (spfh2m, kg kg-1), daily mean 2m vapor pressure (vap2m, hPa), daily mean 10m wind speed (wind10m, m s-1) and daily mean surface pressure (pressfc, hPa).
climatologyMeteorologyAtmosphere
| Begin Date | 1961-01-01 |
| End Date | 2100-12-31 |
| Temporal Characteristics | Daily |
| 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 | GLOBAL CHANGE > Impacts of global change | AGU |
| 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:524
| name | version | specification |
|---|---|---|
| NetCDF | 4 |
CMIP5_CDFDM_S14FD dataset is the bias-corrected GCM daily data using S14FD as the reference and CDFDM as the bias-correction method. Eight GCMs from CMIP5 are included.
The reference (Iizumi et al., 2017) should be cited when the dataset is used.
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If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.
Please consider citing the following DOI when this dataset was used.
doi:10.20783/DIAS.524
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.