JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do)

Hiroyuki Tsujino*, Shogo Urakawa, Hideyuki Nakano, R. Justin Small, Who M. Kim, Stephen G. Yeager, Gokhan Danabasoglu, Tatsuo Suzuki, Jonathan L. Bamber, Mats Bentsen, Claus W. Böning, Alexandra Bozec, Eric P. Chassignet, Enrique Curchitser, Fabio Boeira Dias, Paul J. Durack, Stephen M. Griffies, Yayoi Harada, Mehmet Ilicak, Simon A. JoseyChiaki Kobayashi, Shinya Kobayashi, Yoshiki Komuro, William G. Large, Julien Le Sommer, Simon J. Marsland, Simona Masina, Markus Scheinert, Hiroyuki Tomita, Maria Valdivieso, Dai Yamazaki

*Bu çalışma için yazışmadan sorumlu yazar

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382 Atıf (Scopus)

Özet

We present a new surface-atmospheric dataset for driving ocean–sea-ice models based on Japanese 55-year atmospheric reanalysis (JRA-55), referred to here as JRA55-do. The JRA55-do dataset aims to replace the CORE interannual forcing version 2 (hereafter called the CORE dataset), which is currently used in the framework of the Coordinated Ocean-ice Reference Experiments (COREs) and the Ocean Model Intercomparison Project (OMIP). A major improvement in JRA55-do is the refined horizontal grid spacing (∼ 55 km) and temporal interval (3 hr). The data production method for JRA55-do essentially follows that of the CORE dataset, whereby the surface fields from an atmospheric reanalysis are adjusted relative to reference datasets. To improve the adjustment method, we use high-quality products derived from satellites and from several other atmospheric reanalysis projects, as well as feedback on the CORE dataset from the ocean modelling community. Notably, the surface air temperature and specific humidity are adjusted using multi-reanalysis ensemble means. In JRA55-do, the downwelling radiative fluxes and precipitation, which are affected by an ambiguous cloud parameterisation employed in the atmospheric model used for the reanalysis, are based on the reanalysis products. This approach represents a notable change from the CORE dataset, which imported independent observational products. Consequently, the JRA55-do dataset is more self-contained than the CORE dataset, and thus can be continually updated in near real-time. The JRA55-do dataset extends from 1958 to the present, with updates expected at least annually. This paper details the adjustments to the original JRA-55 fields, the scientific rationale for these adjustments, and the evaluation of JRA55-do. The adjustments successfully corrected the biases in the original JRA-55 fields. The globally averaged features are similar between the JRA55-do and CORE datasets, implying that JRA55-do can suitably replace the CORE dataset for use in driving global ocean–sea-ice models.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)79-139
Sayfa sayısı61
DergiOcean Modelling
Hacim130
DOI'lar
Yayın durumuYayınlandı - Eki 2018

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Publisher Copyright:
© 2018 The Author(s)

Finansman

This study was supported by JSPS KAKENHI Grant Number 15H03726. NCAR contribution to this study was supported by the NOAA Climate Program Office Climate Variability and Predictability Program. NCAR is sponsored by the US National Science Foundation. The PCMDI/LLNL contribution to this study was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. We also acknowledge support from the U.S. Department of Energy, Office of Science, Climate and Environmental Sciences Division, Regional and Global Modeling and Analysis Program.

FinansörlerFinansör numarası
Office of Science, Climate and Environmental Sciences Division
National Science Foundation
U.S. Department of Energy
National Oceanic and Atmospheric Administration
Lawrence Livermore National LaboratoryDE-AC52-07NA27344
Natural Environment Research Councilnoc010012
Japan Society for the Promotion of Science15H03726

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