Quantitative analysis of the feedback induced by the freshwater flux in the tropical Pacific using CMIP5

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• 作者：Hai Zhi ; Rong-Hua Zhang ; Pengfei Lin ; Lanning Wang
• 关键词：feedback ; freshwater flux ; CMIP5 ; correlation
• 刊名：Advances in Atmospheric Sciences
• 出版年：2015
• 出版时间：October 2015
• 年：2015
• 卷：32
• 期：10
• 页码：1341-1353
• 全文大小：6,851 KB
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• 作者单位：Hai Zhi (1)
  Rong-Hua Zhang (2)
  Pengfei Lin (3)
  Lanning Wang (4)
  
  1. The Earth System Modeling Center and College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China
  2. Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
  3. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
  4. College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China
  
• 刊物主题：Atmospheric Sciences; Meteorology; Geophysics/Geodesy;
• 出版者：Springer Berlin Heidelberg
• ISSN：1861-9533

文摘

Freshwater flux (FWF) directly affects sea surface salinity (SSS) and hence modulates sea surface temperature (SST) in the tropical Pacific. This paper quantifies a positive correlation between FWF and SST using observations and simulations of the fifth phase of the Coupled Model Intercomparison Project (CMIP5) to analyze the interannual variability in the tropical Pacific. Comparisons among the displacements of FWF, SSS and SST interannual variabilities illustrate that a large FWF variability is located in the west-central equatorial Pacific, covarying with a large SSS variability, whereas a large SST variability is located in the eastern equatorial Pacific. Most CMIP5 models can reproduce the fact that FWF leads to positive feedback to SST through an SSS anomaly as observed. However, the difference in each model’s performance results from different simulation capabilities of the CMIP5 models in the magnitudes and positions of the interannual variabilities, including the mixed layer depth and the buoyancy flux in the equatorial Pacific. SSS anomalies simulated from the CMIP5 multi-model are sensitive to FWF interannual anomalies, which can lead to differences in feedback to interannual SST variabilities. The relationships among the FWF, SSS and SST interannual variabilities can be derived using linear quantitative measures from observations and the CMIP5 multi-model simulations. A 1 mm d-1 FWF anomaly corresponds to an SSS anomaly of nearly 0.12 psu in the western tropical Pacific and a 0.11°C SST anomaly in the eastern tropical Pacific.