FORP-NP10 version2
1. IDENTIFICATION INFORMATIONName

FORP-NP10 version2

Metadata
Identifier

SICAT_FORP_NP10_v220230727100439-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASETName

JAMSTEC/IEP

Address

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

2.2 CONTACT on PROJECT
2.2.1 Data Integration and Analysis System
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

E-maildias-office@diasjp.net

3. DOCUMENT AUTHORName

JAMSTEC/IEP

4. DATASET CREATOR
Name

JAMSTEC/IEP

5. DATE OF THIS DOCUMENT
2023-07-27

6. DATE OF DATASET
�creation : 2019-12-23

7. DATASET OVERVIEW1

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) under Social Implementation Program on Climate Change Adaptation
Technology (SI-CAT, grant no.: JPMXD0715667163) supported by the Ministry of Education, Culture,Sports, Science and Technology (MEXT). Meteorological Research Institute Community Ocean Modelversion 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 anapproximately 10 km horizontal resolution, produced by continuous simulation from 1981 to 2100. In
the version 2 dataset (FORP-NP10 version2), the atmospheric forcings for the FORP simulations werefrom four climate models from CMIP5, i.e., MIROC5, MRI-CGCM3, GFDL-ESM2M, and IPSL-CM5A-MR, withhistorical (1981-2005), RCP2.6 (2006-2100), and RCP8.5 (2006-2100) scenarios.
The dataset includes the following variables (monthly mean) in netCDF:
potential temperature (t), salinity (s), sea surface height (ssh), eastward velocity (u), northward
velocity (v), surface heat and fresh water fluxes (flx), atmospheric elements for the surface
forcing in the ocean model grid (atm, wind)
Please the header information of each netCDF file for the details of the variables.

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

7.3 Temporal Extent
Begin Date

1981-01-01

End Date

2100-12-31

Temporal
Characteristics

Monthly

7.4 Geographic Bounding Box
Northlatitudebound 70West
longitudebound 285

Eastboundlongitude

100

South
latitudebound -15

7.5 Grid
Dimension Name

Dimension
Size Resolution Unit
(slice number ofthe dimension)

2

row

1852

0.1 (deg)column852

0.1 (deg)

vertical54

1, 1.75, 2.75, ..., 600 (m)7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword TypeKeyword

KeywordName

thesaurus

themeOceans > Ocean Temperature, Oceans > Ocean Circulation > GCMD_science
Ocean Currents, 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:594

7.9 Data Environmental Information
7.10 Distribution Information
nameversion

NetCDF

3specification

8. DATA PROCESSING
9. DATA REMARKS
10. DATA POLICY
3thesaurus

10.1 Data Policy by the Data Provider
1. The dataset is available for free for scientific and educational purposes. If you wish to
use the dataset for non-scientific or non-educational purposes, please inform us in advance andfollow our instructions.
2. The source of the dataset should be accordingly acknowledged, and the article below should also
be referred in scientific or technical papers, publications, press releases or other communications
regarding the dataset.
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. Users should provide JAMSTEC/IEP a copy or URI of their scientific or technical papers,publications, press releases or other communications regarding the dataset.
4. Users are not permitted to redistribute, deliver, or sell the dataset to public.
[Constraints and Disclaimer]
1. The copyright and intellectual property right of the dataset belong to JAMSTEC. Please notethat although JAMSTEC has paid the close attention to produce the dataset, JAMSTEC assumes noresponsibility regarding the reliability of the dataset.
2. JAMSTEC is not responsible to users for any damage that may be caused by the use of the dataset.

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. LICENSE12. 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) under the 'SI-CAT' project (Grant Number:
JPMXD0715667163) of the Ministry of Education, Culture, Sports, Science and Technology, Japan.

12.2 Acknowledge the Project4

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
Nishikawa et al. 2020, Detection of the Oyashio and Kuroshio fronts under the projected climatechange in the 21st century. Progress in Earth and Planetary Science, 7:29, https://doi.org/10.1186/
s40645-020-00342-2
Tsujino et al. 2017, Reference manual for the Meteorological Research Institute Community Ocean
Model version 4 (MRI.COMv4). Technical Reports of the MRI 80.

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