FORP-NP10 version4


Citation for this dataset
Center for Earth Information Science and Technology, JAMSTEC. (2022). FORP-NP10 version4 [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.655
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IDENTIFICATION INFORMATION

Name FORP-NP10 version4
Edition version 4
DOI doi:10.20783/DIAS.655
Metadata Identifier FORP_NP10_version420231215134301-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name Yoichi ISHIKAWA
Organization Japan Agency for Marine-Earth Science and Technology
Address 3173-25 Syowa-machi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan
E-mail ishikaway@jamstec.go.jp

CONTACT on PROJECT

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-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Center for Earth Information Science and Technology, JAMSTEC

DATASET CREATOR

Name Center for Earth Information Science and Technology, JAMSTEC

DATE OF THIS DOCUMENT

2023-12-15

DATE OF DATASET

  • creation : 2022-11-30

DATASET OVERVIEW

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-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.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

  • oceans

  • environment

Temporal Extent

Begin Date 1970-01-01
End Date 2100-12-31
Temporal Characteristics Daily and Monthly

Geographic Bounding Box

North bound latitude 63
West bound longitude 99
Eastbound longitude -75
South bound latitude -15

Grid

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)

Keywords

Keywords on Dataset

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

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Distribution Information

name version specification
NetCDF 4

DATA POLICY

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 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).

4. Individual users should provide JAMSTEC with a copy of their scientific or technical papers, publications, or other communications regarding these datasets.

Data Policy by the Project

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's policy shall prevail.

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Data Provider

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.

Acknowledge the Project

Data Integration and Analysis System

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. "

REFERENCES

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

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