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

作者：Hiroyuki Tsujino, L. Shogo Urakawa, Hideyuki Nakano, Justin Small, Who M. Kim, Stephen Yeager, Gökhan Danabasoglu, Tatsuo Suzuki, Jonathan 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 Ilıcak, Simon A. Josey, Chiaki Kobayashi, Shinya Kobayashi, Yoshiki Komuro, William G. Large, Julien Le Sommer, Simon Marsland, Simona Masina, Markus Scheinert, Hiroyuki Tomita, Maria Valdivieso, Dai Yamazaki · 发表于：Ocean Modelling · 年份：2018 · DOI：10.1016/j.ocemod.2018.07.002 · 被引用次数：943 · 研究领域：Climate variability and models、Arctic and Antarctic ice dynamics、Oceanographic and Atmospheric Processes

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 cont...