FORP-JPN02 version4
1. IDENTIFICATION INFORMATIONName

FORP-JPN02 version4

EditionVersion 4

DOI

doi:10.20783/DIAS.656 [https://doi.org/10.20783/DIAS.656]

Metadata
Identifier

FORP_JPN02_version420231215134428-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASET
Name

Youichi ISHIKAWA

Organization

Center for Earth Information Science and Technology, Japan Agency for MarineEarth Science and Technology

Address

3173-25 Showa-machi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan

E-mailishikaway@jamstec.go.jp

2.2 CONTACT on PROJECT
2.2.1 Data Integration and Analysis System
Name

DIAS OfficeOrganization

Japan Agency for Marine-Earth Science and Technology

Address

3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan

E-maildias-office@diasjp.net

3. DOCUMENT AUTHOR
Name

Center for Earth Information Science and Technology, Japan Agency for MarineEarth Science and Technology

4. DATASET CREATOR
Name

Center for Earth Information Science and Technology, Japan Agency for MarineEarth Science and Technology

5. DATE OF THIS DOCUMENT
2023-12-15

6. DATE OF DATASET1

�creation : 2022-11-30

7. DATASET OVERVIEW
7.1 Abstract
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-JPN02 is a historical and future ocean projection dataset in the region surrounding Japan
with an approximately 2 km horizontal resolution, produced by dynamical downscaling simulation forseveral time slices from FORP-NP10 data. FORP-JPN02 version 4 was from the dynamical downscalingof FORP-NP10 version 4. The time slices of the FORP-JPN02 version1 are
1991-2018 from the JRA-55 historical simulation.
1991-2005 from the historical run of MIROC5.
1991-2005 from the historical run of MRI-CGCM3.
2086-2100 from the RCP2.6 run of MIROC5.
2086-2100 from the RCP2.6 run of MRI-CGCM3.
2041-2055, 2086-2100 from the RCP8.5 run of MIROC5.
2041-2055, 2086-2100 from the RCP8.5 run of MRI-CGCM3.

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere�environment
�oceans

7.3 Temporal Extent
Begin Date

1991-01-01

End Date

2100-12-31

Temporal
Characteristics

Hourly and Daily

7.4 Geographic Bounding Box
Northlatitudebound 52

West
longitudebound 1172

Eastboundlongitude

160

South
latitudebound 20

7.5 GridDimension Name

Dimension
Size Resolution Unit
(slice number ofthe dimension)

row

1423

1/33 (deg)column1604

1/50 (deg)vertical60

variable (m)7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keyword

KeywordName

thesaurus

theme

Oceans > Ocean Temperature, Oceans > Ocean Circulation, GCMD_science
Oceans > Coastal Processes

theme

Models > GCM

GCMD_platformtheme

ClimateGEOSS

7.7.2 Keywords on Project
7.7.2.1 Data Integration and Analysis System
Keyword Type

Keyword

KeywordNametheme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource�file download : https://data.diasjp.net/dl/storages/filelist/dataset:656

7.9 Data Environmental Information
7.10 Distribution Information
nameversionspecification

3thesaurus

NetCDF

4

8. DATA PROCESSING
9. DATA REMARKS
10. DATA POLICY
10.1 Data Policy by the Data Provider
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 datasetsfor 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 thisstudy is from Future Ocean Regional Projection (FORP) project carried out by Japan Agency for MarineEarth Science and Technology, and the Meteorological Research Institute, the Japan Meteorological
Agency (JMA).
4. Individual users should provide JAMSTEC with a copy of their scientific or technical papers,
publications, or other communications regarding these datasets.

10.2 Data Policy by the Project
10.2.1 Data Integration and Analysis System
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'spolicy shall prevail.

11. LICENSE
CC-BY 4.0 : Creative Commons Attribution 4.0 International
creativecommons.org/licenses/by/4.0/][https://12. DATA SOURCE ACKNOWLEDGEMENT
12.1 Acknowledge the Data Provider
This study utilized the dataset 'Future Ocean Regional Projection' (FORP), which was produced by theJapan 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 the4

'TOOUGOU' project (Grant Number: JPMXD0717935561) of the Ministry of Education, Culture, Sports,
Science and Technology, Japan.

12.2 Acknowledge the Project
12.2.1 Data Integration and Analysis System
If you plan to use this dataset for a conference presentation, paper, journal article, or reportetc., 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 wasdeveloped and operated by a project supported by the Ministry of Education, Culture, Sports, Scienceand Technology. "13. REFERENCES
Nishikawa et al. 2021, Development of high-resolution future ocean regional projection datasetsfor coastal applications in Japan. Progress in Earth and Planetary Science, 8:7, https://doi.org/10.1186/s40645-020-00399-z

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