DOI: 10.1007/s00382-015-2728-5
Scopus记录号: 2-s2.0-85026839111
论文题名: An ensemble of eddy-permitting global ocean reanalyses from the MyOcean project
作者: Masina S. ; Storto A. ; Ferry N. ; Valdivieso M. ; Haines K. ; Balmaseda M. ; Zuo H. ; Drevillon M. ; Parent L.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2017
卷: 49, 期: 3 起始页码: 813
结束页码: 841
语种: 英语
英文关键词: Data assimilation
; Eddy-permitting models
; Ensemble mean
; Ensemble spread
; Essential ocean variables
; Global ocean reanalyses
英文摘要: A set of four eddy-permitting global ocean reanalyses produced in the framework of the MyOcean project have been compared over the altimetry period 1993–2011. The main differences among the reanalyses used here come from the data assimilation scheme implemented to control the ocean state by inserting reprocessed observations of sea surface temperature (SST), in situ temperature and salinity profiles, sea level anomaly and sea-ice concentration. A first objective of this work includes assessing the interannual variability and trends for a series of parameters, usually considered in the community as essential ocean variables: SST, sea surface salinity, temperature and salinity averaged over meaningful layers of the water column, sea level, transports across pre-defined sections, and sea ice parameters. The eddy-permitting nature of the global reanalyses allows also to estimate eddy kinetic energy. The results show that in general there is a good consistency between the different reanalyses. An intercomparison against experiments without data assimilation was done during the MyOcean project and we conclude that data assimilation is crucial for correctly simulating some quantities such as regional trends of sea level as well as the eddy kinetic energy. A second objective is to show that the ensemble mean of reanalyses can be evaluated as one single system regarding its reliability in reproducing the climate signals, where both variability and uncertainties are assessed through the ensemble spread and signal-to-noise ratio. The main advantage of having access to several reanalyses differing in the way data assimilation is performed is that it becomes possible to assess part of the total uncertainty. Given the fact that we use very similar ocean models and atmospheric forcing, we can conclude that the spread of the ensemble of reanalyses is mainly representative of our ability to gauge uncertainty in the assimilation methods. This uncertainty changes a lot from one ocean parameter to another, especially in global indices. However, despite several caveats in the design of the multi-system ensemble, the main conclusion from this study is that an eddy-permitting multi-system ensemble approach has become mature and our results provide a first step towards a systematic comparison of eddy-permitting global ocean reanalyses aimed at providing robust conclusions on the recent evolution of the oceanic state. © 2015, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53144
Appears in Collections: 过去全球变化的重建
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作者单位: Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, Italy; Istituto Nazionale di Geofisica e Vulcanologia (INGV), Bologna, Italy; Mercator Océan, Ramonville Saint-Agne, France; Department of Meteorology, National Centre for Earth Observation (NCEO), University of Reading (U-Reading), Reading, United Kingdom; European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, United Kingdom
Recommended Citation:
Masina S.,Storto A.,Ferry N.,et al. An ensemble of eddy-permitting global ocean reanalyses from the MyOcean project[J]. Climate Dynamics,2017-01-01,49(3)