Global couplled ocean-atmosphere reanalysis and forecast with pelagic ecosystem

Papers citing this dataset
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GCMD Science Keywords
[Oceans ] [Ocean Circulation ] [Biosphere ] [Aquatic Ecosystems ] [Plankton ]


Name Global couplled ocean-atmosphere reanalysis and forecast with pelagic ecosystem
Abbreviation K‚VCDA
Metadata Identifier RECCA_JAMSTEC_K7_CDA20221122144400-DIAS20221121113753-en



Name Shiro Nishikawa
Organization Japan Agency for Marine-Earth Science and Technology
Address 3175-25, Showa-cho, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan
TEL +81-45-778-5738


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








  • creation : 2014-08-26



The system used to produce the data set is the 4-dimensional variational (4D-VAR) coupled data assimilation system based on a

coupled ocean-atmosphere global model, which was developed by Sugiura et al. (2008) and the JAMSTEC-K7 consortium. It also

incorporates a biogeochemical model (NPZDC model), which is the pelagic ecosystem model based on nitrogen cycle (Masuda et al. 2013). (See the references for details of the system and models.)

In the 4D-VAR approach, optimized 4-dimensional analysis fields are sought by minimizing a cost function on the basis of adjoint method for physical parameters and Green's function approach (Menemenlis et al. 2005) for biogeochemical ones. The assimilated observations for the atmospheric component are the PREPBUFR data set (air temperature, specific humidity, and wind vectors) and 10 m scalar wind stress from SSMIS satellite observations. The assimilated observations for the oceanic physical component are OISST, and temperature and salinity profile data from the Argo and GTSPP. The assimilated data for the biogeochemical

component are climatological mean monthly nitrate from WOA05, chlorophyll-a from SeaWiFS, and chlorophyll-a from WOA98 which is converted to detritus.

The procedure of the production of the data set is as follows: using the assimilation window of 3 months, the assimilation experiment was conducted for every 3-months period from January-March 2010. Using the optimized control variables and parameters within the assimilation windows, the forecast experiments were performed for 3 years from the beginning of the assimilation windows (thus, the first 3 months correspond to the state estimation and the remaining 2 years and 9 months correspond to the pure forecast). In the forecast experiments, 10 ensemble forecast runs were also conducted using the atmospheric initial conditions shifted to 1-5 days before/after.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

  • oceans

Temporal Extent

Begin Date 2014-01-01
End Date Under Continuation
Temporal Characteristics 10day

Geographic Bounding Box

North bound latitude 90
West bound longitude 360
Eastbound longitude 0
South bound latitude -90


Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 360 1 (deg)
column 180 1 (deg)
vertical 45 (m)


Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme OCEANOGRAPHY GENERAL > Physical and biogeochemical interactions, OCEANOGRAPHY GENERAL > Climate and interannual variability, OCEANOGRAPHY GENERAL > Ocean data assimilation and reanalysis, OCEANOGRAPHY GENERAL > Ocean predictability and prediction, OCEANOGRAPHY BIOLOGICAL AND CHEMICAL > Nutrients and nutrient cycling AGU
theme Models > GCMD_platform
theme [Oceans ] > [Ocean Circulation ], [Biosphere ] > [Aquatic Ecosystems ] > [Plankton ] GCMD_science

Keywords on Project

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

Online Resource

Distribution Information

name version specification
Raw binary (GrADSŚ`Ž®) 1.0


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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.

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Sugiura, N., T. Awaji, S. Masuda, T. Mochizuki, T. Toyoda, T. Miyama, H. Igarashi, and Y. Ishikawa (2008), Development of a four-dimensional variational coupled data assimilation system for enhanced analysis and prediction of seasonal to interannual climate variations. J. Geophys. Res., 113, C10017, doi:10.1029/2008JC004741.

Masuda, S., T. Doi, N. Sugiura, S. Osafune, and Y. Ishikawa (2014), Data synthesis for biogeochemical variables by using a 4 dimensional variational approach.

Ann. Rep. ESC., April 2012 - March 2013, 67-70.

Menemenlis, D. I. Fukumori, and T. Lee (2005), Using Green's functions to calibrate an ocean general circulation model. Mon. Wes. Rev., 133, 1224-1240.

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