| Name | FORP-NP10 version4 |
| Edition | version 4 |
| DOI | doi:10.20783/DIAS.655 |
| Metadata Identifier | FORP_NP10_version420231215134301-DIAS20221121113753-en |
| Name | Yoichi ISHIKAWA |
|---|---|
| Organization | Japan Agency for Marine-Earth Science and Technology |
| Address | 3173-25 Syowa-machi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan |
| ishikaway@jamstec.go.jp |
Future Ocean Regional Projection (FORP) datasets were produced by high-resolution regional ocean model simulations with ensemble atmospheric forcings from Coupled Model Intercomparison Project Phase 5 (CMIP5) models and scenarios. These were developed by the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) and Meteorological Research Institute, Japan Meteorological Agency. The development of FORP were supported by Social Implementation Program on Climate Change Adaptation Technology (SI-CAT, grant no.: JPMXD0715667163) and Integrated Research Program for Advancing Climate Models (TOUGOU, grant no.: JPMXD0717935561), the Ministry of Education, Culture, Sports, Science and Technology (MEXT). Meteorological Research Institute Community Ocean Model version 4 (MRI.COMv4; Tsujino et al. 2017) was used for the regional ocean models.
FORP-NP10 is a historical and future ocean projection dataset in the North Pacific Ocean with an approximately 10 km horizontal resolution, produced by continuous simulation from 1970 to 2100. In the version 4 dataset (FORP-NP10 version4), the atmospheric forcings for the FORP simulations were from two climate models from CMIP5, MIROC5 and MRI-CGCM3, with historical (1981-2005), RCP2.6 (2006-2100), and RCP8.5 (2006-2100) scenarios. In addition, a historical simulation from 1981 to 2015 using a forcing of an atmospheric reanalysis, the Japanese 55-year Reanalysis (JRA-55), was included.
| Begin Date | 1970-01-01 |
| End Date | 2100-12-31 |
| Temporal Characteristics | Daily and Monthly |
| North bound latitude | 63 |
| West bound longitude | 99 |
| Eastbound longitude | -75 |
| South bound latitude | -15 |
| Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
|---|---|---|
| row | 2049 | 1/11 (deg) |
| column | 784 | 1/10 (deg) |
| vertical | 60 | variable (m) |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | Oceans > Ocean Temperature, Oceans > Ocean Circulation, Oceans > Ocean Heat Budget | GCMD_science |
| theme | Models > GCM | GCMD_platform |
| theme | Climate | GEOSS |
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file download : https://data.diasjp.net/dl/storages/filelist/dataset:655
1. The dataset can use under the public license CC BY 4.0.
2. The author should be cited following paper in scientific and technical papers, or publications: Nishikawa et al. 2021, Development of high-resolution future ocean regional projection datasets for coastal applications in Japan. Progress in Earth and Planetary Science, 8:7, https://doi.org/10.1186/s40645-020-00399-z
3. The source of the datasets should be duly acknowledged in scientific and technical papers, publications, and other communications regarding the datasets. Example: The dataset used for this study is from Future Ocean Regional Projection (FORP) project carried out by Japan Agency for Marine-Earth Science and Technology, and the Meteorological Research Institute, the Japan Meteorological Agency (JMA).
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CC-BY 4.0 :
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This study utilized the dataset 'Future Ocean Regional Projection' (FORP), which was produced by the Japan Agency for Marine-Science and Technology (JAMSTEC) and the Meteorological Research Institute, the Japan Meteorological Agency under the 'SI-CAT' project (Grant Number: JPMXD0715667163) and the 'TOOUGOU' project (Grant Number: JPMXD0717935561) of the Ministry of Education, Culture, Sports, Science and Technology, Japan.
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" 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. "