| Name | Bias-corrected d4PDF historical and non-warming climate data |
| DOI | doi:10.20783/DIAS.544 |
| Metadata Identifier | d4PDF_CDFDM_S14FD20230727093720-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 | 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 |
The bias-corrected d4PDF dataset offers daily data of 10 climatic variables over the globe from 1951 to 2010. Data from the historical experiment and non-warming counterfactual simulation are available (at this moment, there is no plan to conduct bias-correction of data from the +4 degC experiment). See Shiogama et al. (2016), Mizuta et al. (2017) and Imada et al. (2017) for details on the original d4PDF database. For each simulation, data for 100-member ensemble are available. The data over the sea and Antarctica are not bias-corrected (i.e., the raw data of the MRI-AGCM3.2 (Mizuta et al., 2012) were used), whereas those over the land are bias-corrected using S14FD meteorological forecing dataset (doi:10.20783/DIAS.523) as the baseline. 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 10m wind speed (wind10m, m s-1) and daily mean surface pressure (pressfc, hPa).
| 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 | Atmosphere > Atmospheric Temperature > Air Temperature, Atmosphere > Precipitation > Precipitation Amount, Atmosphere > Atmospheric Radiation > Incoming Solar Radiation, Atmosphere > Atmospheric Radiation > Longwave Radiation, Atmosphere > Atmospheric Water Vapor > Humidity, Atmosphere > Atmospheric Pressure > Surface Pressure | GCMD_science |
-
File download : https://data.diasjp.net/dl/storages/filelist/dataset:544
Daily data for the 1961–2000 period derived from the S14FD forcing dataset were used as the baseline. Information on the errors associated with the AGCM was derived using a single member of the factual simulations (labeled “HPB_m001” in the d4PDF database), and the same error information was applied to the other ensemble members of the factual and counterfactual simulations.
Dr. Shiogama, the National Institute for Environmental Studies, who is creating the original data, reported that the pre-correction file of the ground pressure data of HPB_m063 was damaged and that recalculation with the atmospheric model was carried out.We corrected the biased correction of recalculated barometric pressure data. HPB_m063/pressfc.zip (2018/09/06)
It is requested to cite the reference (Iizumi et al., 2018) when the dataset is used.
If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.
The original d4PDF database was produced under the SOUSEI programme sponsored by the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT).
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. "
Mizuta, R., Yoshimura, H., Murakami, H., Matsueda, M., Endo, H., Ose, T., ... Kitoh, A. (2012). Climate simulations using MRI-AGCM with 20-km grid. Journal of the Meteorological Society of Japan, 90A, 235−260, https://doi.org/10.2151/jmsj.2012-A12.
Mizuta, R., Murata, A., Ishii, M., Shiogama, H., Hibino, K., Mori, N., ... Kimoto, M. (2017). Over 5000 years of ensemble future climate simulations by 60 km global and 20 km regional atmospheric models. Bulletin of the American Meteorological Society, 98, 1383–1398, https://doi.org/10.1175/BAMS-D-16-0099.1.
Shiogama, H., Imada, Y., Mori, M., Mizuta, R., Stone, D., Yoshida, K., ... Kimoto, M. (2016). Attributing historical changes in probabilities of record-breaking daily temperature and precipitation extreme events. SOLA, 12, 225−231, https://doi.org/10.2151/sola.2016-045.
Iizumi T, Shiogama H, Imada Y, Hanasaki N, Takikawa H, Nishimori M (2018) Crop production losses associated with anthropogenic climate change for 1981–2010 compared with preindustrial levels. International Journal of Climatology (accepted 23 July 2018).
Imada, Y., Maeda, S., Watanabe, M., Shiogama, H., Mizuta, R., Ishii, M., Kimoto, M. (2017). Recent enhanced seasonal temperature contrast in Japan from large ensemble high-resolution climate simulations. Atmosphere, 8, 57, doi:10.3390/atmos8030057.