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Widespread global disparities between modelled and observed mid-depth ocean currents.
Su, Fenzhen; Fan, Rong; Yan, Fengqin; Meadows, Michael; Lyne, Vincent; Hu, Po; Song, Xiangzhou; Zhang, Tianyu; Liu, Zenghong; Zhou, Chenghu; Pei, Tao; Yang, Xiaomei; Du, Yunyan; Wei, Zexun; Wang, Fan; Qi, Yiquan; Chai, Fei.
Affiliation
  • Su F; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. sufz@lreis.ac.cn.
  • Fan R; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China. sufz@lreis.ac.cn.
  • Yan F; School of Geography and Ocean Sciences, Nanjing University, Nanjing, 210093, China. sufz@lreis.ac.cn.
  • Meadows M; Collaborative Innovation Center for the South China Sea Studies, Nanjing University, Nanjing, 210023, China. sufz@lreis.ac.cn.
  • Lyne V; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
  • Hu P; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Song X; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
  • Zhang T; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Liu Z; School of Geography and Ocean Sciences, Nanjing University, Nanjing, 210093, China.
  • Zhou C; Department of Environmental & Geographical Science, University of Cape Town, Rondebosch, 7701, South Africa.
  • Pei T; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China.
  • Yang X; IMAS-Hobart, University of Tasmania, Tasmania, 7004, Australia.
  • Du Y; Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
  • Wei Z; College of Oceanography, Hohai University, Nanjing, 211100, China.
  • Wang F; College of Oceanography and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China.
  • Qi Y; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China.
  • Chai F; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Nat Commun ; 14(1): 2089, 2023 Apr 12.
Article de En | MEDLINE | ID: mdl-37045863
The mid-depth ocean circulation is critically linked to actual changes in the long-term global climate system. However, in the past few decades, predictions based on ocean circulation models highlight the lack of data, knowledge, and long-term implications in climate change assessment. Here, using 842,421 observations produced by Argo floats from 2001-2020, and Lagrangian simulations, we show that only 3.8% of the mid-depth oceans, including part of the equatorial Pacific Ocean and the Antarctic Circumpolar Current, can be regarded as accurately modelled, while other regions exhibit significant underestimations in mean current velocity. Knowledge of ocean circulation is generally more complete in the low-latitude oceans but is especially poor in high latitude regions. Accordingly, we propose improvements in forecasting, model representation of stochasticity, and enhancement of observations of ocean currents. The study demonstrates that knowledge and model representations of global circulation are substantially compromised by inaccuracies of significant magnitude and direction, with important implications for modelled predictions of currents, temperature, carbon dioxide sequestration, and sea-level rise trends.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Aspects: Equity_inequality Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Aspects: Equity_inequality Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni