Name | 5-km resolution ensemble climate data in Japan |
DOI | doi:10.20783/DIAS.657 |
Metadata Identifier | d4PDF_5kmDDS_JP20240128190245-DIAS20221121113753-en |
Name | Hiroaki Kawase |
---|---|
Organization | Meteorological Research Institute, Japan Meteorological Agency |
Address | 1-1, Nagamine, Tsukuba, Ibaraki, 305-0052, Japan |
d4pdf_5kmdds_jp@jamstec.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 | Hiroaki Kawase |
---|---|
Organization | Meteorological Research Institute, Japan Meteorological Agency |
hkawase@mri-jma.go.jp |
Name | Hiroaki Kawase |
---|---|
Organization | Meteorological Research Institute, Japan Meteorological Agency |
hkawase@mri-jma.go.jp |
creation : 2023-09-19
Dynamical downscaling ensemble data covering the whole Japan from d4PDF with 5-km nonhydrostatic regional climate model (NHRCM)
climatologyMeteorologyAtmosphere
Begin Date | 1950-07-21 |
End Date | 2011-09-06 |
Temporal Characteristics | Hourly |
North bound latitude | 60 |
West bound longitude | 110 |
Eastbound longitude | 165 |
South bound latitude | 15 |
Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
---|---|---|
row | 550 | 5 (km) |
column | 755 | 5 (km) |
vertical | 13 | 1000, 975, 950, 925, 900, 875, 850, 800, 700, 600, 500, 300, 200 (hPa) |
time | 1 (hour) |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | Atmosphere > Precipitation > Rain, Atmosphere > Precipitation > Snow, Atmosphere > Atmospheric Temperature > Air Temperature | GCMD_science |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | DIAS > Data Integration and Analysis System | No_Dictionary |
d4PDF(Japanese) : https://www.miroc-gcm.jp/~pub/d4PDF/
d4PDF(English) : https://www.miroc-gcm.jp/~pub/d4PDF/index_en.html
file download : https://data.diasjp.net/dl/storages/filelist/dataset:657
Frequently Asked Questions : https://data.diasjp.net/dl/storages/file/L2Q0UERGXzVrbUREU19KUC9kb2MvZDRQREZfNWttRERTX0pQX0ZBUS5wZGY=
User's Guide : https://data.diasjp.net/dl/storages/file/L2Q0UERGXzVrbUREU19KUC9kb2MvZDRQREZfNWttRERTX0pQLnBkZg==
name | version | specification |
---|---|---|
netCDF | 4 |
- Purpose of use
There are no restrictions. The contents are subject to change without any prior notice. We are not liable for any losses or any damage when the dataset is used.
- Redistribution
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- Acknowledgements
Please describe after the following example.
This study utilized the 5-km ensemble dynamical downscaling data, which was created by the JAMSTEC Earth Simulator under the Ministry of Education, Culture, Sports, Science and Technology (MEXT) Program for the advanced studies of climate change projection (SENTAN).
- Citation
Please cite Kawase et al. (2023) as the paper describing the dataset.
Kawase et al. 2023, Identifying robust changes of extreme precipitation in Japan from large ensemble 5-km-grid regional experiments for 4K warming scenario. Journal of Geophysical Research, JGR-Atmosphere, https://doi.org/10.1029/2023JD038513
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This study utilized the 5-km ensemble dynamical downscaling data calculated by the JAMSTEC Earth Simulator under the Ministry of Education, Culture, Sports, Science and Technology (MEXT) Program for the advanced studies of climate change projection (SENTAN).
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. "
Kawase et al. 2023, Identifying robust changes of extreme precipitation in Japan from large ensemble 5-km-grid regional experiments for 4K warming scenario. Journal of Geophysical Research, JGR-Atmosphere, https://doi.org/10.1029/2023JD038513