| |
| Name | Climate projection dataset in Japan with 2km-mesh NHRCM by SOUSEI and TOUGOU programs |
| Metadata Identifier | NHRCM02_SOUSEI20230727100237-DIAS20221121113753-en |
| Name | Izuru Takayabu |
|---|---|
| Organization | Program for Risk Information on Climate Change (SOUSEI) and Integrated Research Program for Advancing Climate Models (TOUGOU) |
| takayabu@mri-jma.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 | Akihiko Murata |
|---|---|
| Organization | Program for Risk Information on Climate Change (SOUSEI) and Integrated Research Program for Advancing Climate Models (TOUGOU) |
| amurata@mri-jma.go.jp |
| Name | Meteorological Researcn Institute |
|---|---|
| Organization | Program for Risk Information on Climate Change (SOUSEI) and Integrated Research Program for Advancing Climate Models (TOUGOU) |
publication : 2017-10-30
(1) This is the dataset simulated by high resolution non-hydrostatic regional climate model of which horizontal grid spacing is 2km over Japan and surroundings. The dataset consists of the present climate (20 years) and the future climate over the end of the 21st century (20 years) under the RCP8.5 and RCP2.6 scenarios (4 members for each scenario).
(2) High resolution simulations enable to estimate the future change of extreme events, such as typhoons and localized torrential downpours, with high accuracy.
(3) This dataset provides the climate projections which adaptations against global warming are based on in various fields, for example, disaster prevention, urban planning, environmental protection, and so on. It would realize the global warming adaptations consistent not only among issues but also among regions.
Detailed information can be found in /NHRCM02_SOUSEI/SOUSEI_NHRCM_metadata_DIAS_5km_2km.pdf
climatologyMeteorologyAtmosphere
| Begin Date | 1980-09-01 |
| End Date | 2095-80-31 |
| Temporal Characteristics | Hourly |
| North bound latitude | 40 |
| West bound longitude | 105 |
| Eastbound longitude | 170 |
| South bound latitude | 15 |
| Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
|---|---|---|
| row | 2 (km) | |
| column | 2 (km) | |
| column | from 40 to 904 (m) | |
| time | 1 (hour) |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | GLOBAL CHANGE > Regional climate change | AGU |
| theme | Climate | GEOSS |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | DIAS > Data Integration and Analysis System | No_Dictionary |
file download : https://data.diasjp.net/dl/storages/filelist/dataset:591
| name | version | specification |
|---|---|---|
| grib | 2 |
Data Release Policy of Climate Projection Data in Japan with 2km-mesh NHRCM by SOUSEI and TOUGOU Programs
This dataset was produced by the joint project of Meteorological Research Institute of Japan Meteorological Agency and The University of Tokyo, under the support of the Program for Risk Information on Climate Change (SOUSEI, FY2012-2016), Integrated Research Program for Advancing Climate Models (TOUGOU, FY2017-2021), and the Data Integration and Analysis System (DIAS), funded by the Ministry of Education, Culture, Sports, Science and Technology (MEXT). The Earth Simulator was used for building up the dataset. Users can access the dataset via the data server maintained by DIAS.
Terms and Conditions:
1. Individual users must register their name, affiliation, email-address and purpose of use before access to the database will be permitted.
2. Individual users should not redistribute the data to any third party.
3. The source of the database should be duly acknowledged in scientific and technical papers, publications, press releases and other communications in case of using the data.
Example:
This study used data produced with the Earth Simulator by the Program for Risk Information on Climate Change (SOUSEI) and Integrated Research Program for Advancing Climate Models (TOUGOU) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.
Disclaimer:
Meteorological Research Institute of Japan Meteorological Agency is not responsible for any damage that may result from the use of this dataset. The intellectual property rights of the dataset belong exclusively to Meteorological Research Institute of Japan Meteorological Agency.
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.
This study used data produced with the Earth Simulator by the Program for Risk Information on Climate Change (SOUSEI) and Integrated Research Program for Advancing Climate Models (TOUGOU) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.
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. "
(RCP8.5)
Murata, A., H. Sasaki, H. Kawase, M. Nosaka, T. Aoyagi, M. Oh'izumi, N. Seino, F. Shido, K. Hibino, K. Ishihara, H. Murai, S. Yasui, S. Wakamatsu, and I. Takayabu, 2017: Projection of future climate change over Japan in ensemble simulations using a convection-permitting regional climate model with urban canopy. SOLA, 13, 219–223, doi:10.2151/sola.2017-040.
(RCP2.6)
Kawase, H., A. Murata, K. Yamada, T. Nakaegawa, R. Ito, R. Mizuta, M. Nosaka, S. Watanabe, H. Sasaki, 2021: Regional characteristics of future changes in snowfall in Japan under RCP2.6 and RCP8.5 scenarios, SOLA, 17, 1–7, doi:10.2151/sola.2021-001.
Murata, A., H. Sasaki, H. Kawase, M. Nosaka, T. Aoyagi, M. Oh'izumi, N. Seino, F. Shido, K. Hibino, K. Ishihara, H. Murai, S. Yasui, S. Wakamatsu, and I. Takayabu, 2017: Projection of future climate change over Japan in ensemble simulations using a convection-permitting regional climate model with urban canopy. SOLA, 13, 219–223, doi:10.2151/sola.2017-040.