FORA-WNP30


1. IDENTIFICATION INFORMATION

Name FORA-WNP30
Edition 1.0
Metadata Identifier FORA_WNP30_JAMSTEC_MRI20210510183945-DIAS20210510161836-en

2. CONTACT

2.1 CONTACT on DATASET

Name JAMSTEC/CEIST
Address 3173-25, Showa-machi, Kanazawa-ku, Yokohama-city, Kanagawa, 236-0001, Japan
E-mail fora_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-mail dias-office@diasjp.net

3. DOCUMENT AUTHOR

Name JAMSTEC/CEIST
E-mail fora_req@jamstec.go.jp

4. DATASET CREATOR

Name JAMSTEC/CEIST
E-mail fora_req@jamstec.go.jp
Name Meteorological Research Institute

5. DATE OF THIS DOCUMENT

2021-05-10

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 the first-ever dataset covering the western North Pacific over the last three decades (1982-2014) at eddy-resolving resolution. This is the cooperative work of Japan Agency for Marine-Earth Science and 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, version of 4-dimensional variational method (MOVE-4DVAR; Usui et al. 2015), the data assimilation system developed 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 each month), 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, 2014

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

North bound latitude 65
West bound longitude 116.8
Eastbound longitude 200.25
South bound latitude 14.8

7.5 Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 673 6 (minute)
column 442 6 (minute)
vertical 54 (m)

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Oceans > Ocean Circulation > Eddies, Oceans > Ocean Circulation > Ocean Currents, Oceans > Ocean Circulation > Wind-driven Circulation GCMD_science
theme Models > GCM GCMD_platform
theme Climate, Weather GEOSS

7.7.2 Keywords on Project

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

7.9 Data Environmental Information

7.10 Distribution Information

name version specification
netCDF 1.0 CF-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 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.

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 reliability of the dataset.

[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/policy/) and DIAS Privacy Policy (https://diasjp.net/en/privacypolicy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy 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 report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

"We used the [name of dataset] provided by [name of data provider] in this study. This dataset was collected and provided under the Data Integration and Analysis System (DIAS, Project No. JPMXD0716808999), which has been developed and operated by the Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

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).

Copyright(c) 2006-2021 Data Integration & Analysis System (DIAS) All Rights Reserved.
This project is supported by " Data Integration & Analysis System " funded by MEXT, Japan