|Name||Global couplled ocean-atmosphere reanalysis and forecast with pelagic ecosystem|
|Organization||Japan Agency for Marine-Earth Science and Technology|
|Address||3175-25, Showa-cho, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan|
|Organization||Remote Sensing Technology Center of Japan|
|Address||TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, 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.
|End Date||Under Continuation|
|North bound latitude||90|
|West bound longitude||360|
|South bound latitude||-90|
|Dimension Name||Dimension Size (slice number of the dimension)||Resolution Unit|
|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||[Oceans ] > [Ocean Circulation ], [Biosphere ] > [Aquatic Ecosystems ] > [Plankton ]||GCMD_science|
|Keyword Type||Keyword||Keyword thesaurus Name|
|theme||DIAS > Data Integration and Analysis System||No_Dictionary|
DIAS data download site : https://data.diasjp.net/dl/storages/filelist/dataset:234
|Raw binary (GrADSŚ`Ž®)||1.0|
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Remote Sensing Technology Center of Japan
TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001
Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements.
"The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."
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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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|This project is supported by " Data Integration & Analysis System " funded by MEXT, Japan|