FORP-JPN02 version2


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IDENTIFICATION INFORMATION

Name FORP-JPN02 version2
Metadata Identifier SICAT_FORP_JPN02_v220230727100601-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name JAMSTEC/IEP
Address 3173-25 Showa-machi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan

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 JAMSTEC/IEP

DATASET CREATOR

Name JAMSTEC/IEP

DATE OF THIS DOCUMENT

2023-07-27

DATE OF DATASET

  • creation : 2019-12-23

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) 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 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 for several time slices from FORP-NP10 data. FORP-JPN02 version2 was from the dynamical downscaling of FORP-NP10 version2. The time slices of the FORP-JPN02 version2 are

1991-2005 from the historical runs,

2086-2100 from the RCP2.6 runs, and

2041-2055 and 2086-2100 from the RCP8.5 runs

from four model cases (MIROC5, MRI-CGCM3, GFDL-ESM2M, and IPSL-CM5A-MR). The method of the dynamical downscaling was a simple one-way nesting method.

The dataset includes the following variables (daily 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.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

  • oceans

  • environment

Temporal Extent

Begin Date 1991-01-01
End Date 2100-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 47.5
West bound longitude 150
Eastbound longitude 122.6
South bound latitude 23.7

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 826 1/30 (deg)
column 1194 1/50 (deg)
vertical 54 1, 1.75, 2.75, ..., 600 (m)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme [Oceans ] > [Ocean Temperature ], [Oceans ] > [Ocean Circulation ] > [Ocean Currents ], [Oceans ] > [Coastal Processes ] 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 3

DATA POLICY

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 and follow 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 datasets for 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 note that although JAMSTEC has paid the close attention to produce the dataset, JAMSTEC assumes no responsibility 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.

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) under the 'SI-CAT' project (Grant Number: JPMXD0715667163) 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

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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