FORP-NP10 version4.5
1. IDENTIFICATION INFORMATIONName

FORP-NP10 version4.5

Editionversion 4_5

DOI

doi:10.20783/DIAS.662 [https://doi.org/10.20783/DIAS.662]

Metadata
Identifier

FORP_NP10_version4_520231215151808-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASET
NameYoichi ISHIKAWA

Organization

Japan Agency for Marine-Earth Science and Technology

Address

3173-25 Syowa-machi, Kanazawa-ku, Yokohama-shi, 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 and Technology, JAMSTEC

4. DATASET CREATOR
Name

Center for Earth Information and Technology, JAMSTEC

5. DATE OF THIS DOCUMENT
2023-12-15

6. DATE OF DATASET
1�publication : 2023-11-01

7. DATASET OVERVIEW
7.1 Abstract
Future Ocean Regional Projection (FORP) datasets were produced by high-resolution regional oceanmodel 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). Further we expanded the FORP datasets with two other CMIP5 model used
as forcing data in the Advanced Studies of Climate Change Projection (SENTAN Program). MeteorologicalResearch Institute Community Ocean Model version 4 (MRI.COMv4; Tsujino et al. 2017) was used forthe regional ocean models.
FORP-NP10 is a historical and future ocean projection dataset in the North Pacific Ocean with anapproximately 10 km horizontal resolution, produced by continuous simulation from 1970 to 2100. In
the version 4.5 dataset (FORP-NP10 version4.5), the atmospheric forcings for the FORP simulations
were from two climate models from CMIP5, GFDL-ESM2M and IPSL-CM5A-MR, with historical (1981-2005),
RCP2.6 (2006-2100), and RCP8.5 (2006-2100) scenarios. By using FORP version 4 and version 4.5
together, the number of ensembles increases and can be used to evaluate the uncertainty of future
projections.

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

7.3 Temporal Extent
Begin Date

1970-01-01

End Date

2100-12-31

Temporal
Characteristics

Monthly

7.4 Geographic Bounding Box
Northlatitudebound 63West
longitudebound 99

Eastboundlongitude

-75

South
latitudebound -152

7.5 GridDimension NameDimension
Size Resolution Unit(slice number ofthe dimension)

row

2049

1/11 (deg)column784

1/10 (deg)vertical60

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

Keyword

KeywordNamethesaurus

theme

Oceans > Ocean Temperature, Oceans > Ocean Circulation, GCMD_science
Oceans > Ocean Heat Budget

theme

Models > GCM

GCMD_platformtheme

ClimateGEOSS

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

Keyword

Keyword
Name

theme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource�file download : https://data.diasjp.net/dl/storages/filelist/dataset:662

7.9 Data Environmental Information
7.10 Distribution Information
nameversionspecification

8. DATA PROCESSING
3thesaurus

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 the'TOOUGOU' project (Grant Number: JPMXD0717935561) , the 'SENTAN/Advanced Studies of Climate Change
Projection' project of the Ministry of Education, Culture, Sports, Science and Technology, Japan.

12.2 Acknowledge the Project4

12.2.1 Data Integration and Analysis SystemIf 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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