FORA-WNP30
1. IDENTIFICATION INFORMATIONName

FORA-WNP30

Edition1.0

Metadata
Identifier

FORA_WNP30_JAMSTEC_MRI20230727073902-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASETName

JAMSTEC/CEIST

Address

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

E-mailfora_req@jamstec.go.jp

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 AUTHOR
Name

JAMSTEC/CEIST

E-mailfora_req@jamstec.go.jp

4. DATASET CREATOR
Name

JAMSTEC/CEIST

E-mailfora_req@jamstec.go.jp

Name

Meteorological Research Institute

5. DATE OF THIS DOCUMENT
2023-07-27

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6. DATE OF DATASET
�publication : 2016-01-20

7. DATASET OVERVIEW
7.1 Abstract
Four-dimensional Variational Ocean ReAnalysis for the Western North Pacific (FORA-WNP30) is thefirst-ever dataset covering the western North Pacific over the last three decades (1982-2014) ateddy-resolving resolution. This is the cooperative work of Japan Agency for Marine-Earth Scienceand Technology (JAMSTEC) and Meteorological Research Institude, Japan Meteorological Agency (JMA/MRI) using the Earth Simulator.
FORA-WNP30 was produced by using MRI Multivariate Ocean Variational Estimation system, versionof 4-dimensional variational method (MOVE-4DVAR; Usui et al. 2015), the data assimilation systemdeveloped by the JMA/MRI. MOVE-4DVAR uses MRI.COM-WNP (Tsujino et al. 2006), eddy-resolving ocean
model for Western North Pacific developed by JMA/MRI, as the forward model of ocean and sea ice.
The settings of the assimilation system are as follows:- Ocean and sea ice model* Domain: 117°E-160°W, 15°N-65°N* Horizontal resolution: 1/10° (1/6° east of 160°E) longitude × 1/10° (1/6° north of 50°N)
latitude* Number of vertical levels: 54 levels (0-6300m)- Assimilation method* Ocean: 4-dimensional variational method* Sea ice: objective analysis by minimum variance estimation and nudging* Assimilation cycle: 3 cycles in a month (day 1 to 10, 11 to 20, 21 to the end of month in eachmonth), sea ice is nudeged to the daily analysis.
- Assimilated observation* In situ temperature and salinity profiles from WOD2013 and GTSPP (0-1500m)* Gridded SST made by merging satellite and in situ observations (MGDSST; Kurihara et al., 2006
[in Japanese])* SLA by satellites (TOPEX/Poseidon, Jason-1/2, ERS-1/2, Envisat, GFO, Cryosat)* SSM/I sea ice concentration data
- Atmospheric forcing* daily-mean of JRA-55 (Kobayashi et al., 2015)- Analysis period* Jan. 1, 1982 to Dec. 31, 20142

7.2 Topic Category(ISO19139)
�oceans�environment

7.3 Temporal Extent
Begin Date

1982-01-01

End Date

2014-12-31

Temporal
Characteristics

Daily

7.4 Geographic Bounding Box
Northlatitudebound 65

West
longitudebound 116.8

Eastboundlongitude200.25South
latitudebound 14.8

7.5 Grid
Dimension Name

Dimension
Size Resolution Unit
(slice number ofthe dimension)

row

673

6 (minute)column442

6 (minute)vertical54(m)7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keyword

KeywordNametheme

Oceans > Ocean Circulation > Eddies, Oceans > Ocean GCMD_science
Circulation > Ocean Currents, Oceans > Ocean Circulation> Wind-driven Circulation

theme

Models > GCM

GCMD_platformtheme

Climate, WeatherGEOSS3thesaurus

7.7.2 Keywords on Project
7.7.2.1 Data Integration and Analysis SystemKeyword Type

Keyword

KeywordName

thesaurus

theme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource
�: http://synthesis.jamstec.go.jp/FORA/index.html
�Data Download from the DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:269

7.9 Data Environmental Information
7.10 Distribution Information
nameversion

specification

netCDF

1.0CF-1.6

8. DATA PROCESSING
9. DATA REMARKS
10. DATA POLICY
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.
Usui et al., 2016, Four-dimensional Variational Ocean Reanalysis: A 30-year high-resolution dataset
in the western North Pacific (FORA-WNP30). J. Oceanogr., submitted.
3. Users should provide JAMSTEC/CEIST 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 and JMA/MRI. Please note that although JAMSTEC and JMA/MRI have paid the close attention
to produce the dataset, JAMSTEC and JMA/MRI assume no responsibility regarding the reliabilityof the dataset.

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[Constraints and Disclaimer] 2. JAMSTEC and JMA/MRI are 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. LICENSE
12. DATA SOURCE ACKNOWLEDGEMENT
12.1 Acknowledge the Data Provider
This study utilized the dataset ‘Four-dimensional Variational Ocean Reanalysis for the western
North Pacific’ (FORA-WNP30), which was produced by Japan Agency for Marine-Science and Technology(JAMSTEC) and Meteorological Research Institute of Japan Meteorological Agency (JMA/MRI).

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
Usui, N., T. Wakamatsu, Y. Tanaka, N. Hirose, T. Toyoda, S. Nishikawa, Y. Fujii, Y. Takatsuki,
H. Igarashi, H. Nishikawa, Y. Ishikawa, T. Kuragano and M. Kamachi. Four-dimensional Variational
Ocean Reanalysis: A 30-year high-resolution dataset in the western North Pacific (FORA-WNP30).
Journal of Oceanography (submitted).

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