4.7 Article

Climate Model Errors over the South Indian Ocean Thermocline Dome and Their Effect on the Basin Mode of Interannual Variability

期刊

JOURNAL OF CLIMATE
卷 28, 期 8, 页码 3093-3098

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-14-00810.1

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资金

  1. National Basic Research Program of China [2012CB955603, 2010CB950302]
  2. Natural Science Foundation of China [41406026]
  3. Pearl River Nova Program of Guangzhou
  4. Technology Foundation for Selected Overseas Chinese Scholars (Ministry of Human Resources and Social Security of the People's Republic of China)
  5. Open Project Program of Key Laboratory of Meteorological Disaster of Ministry of Education (Nanjing University of Information Science and Technology) [KLME1402]
  6. U.S. National Science Foundation
  7. CAS/SAFEA International Partnership Program for Creative Research Teams
  8. Open Project Program of State Key Laboratory of Tropical Oceanography [LTOZZ1202]
  9. Directorate For Geosciences
  10. Div Atmospheric & Geospace Sciences [1305719] Funding Source: National Science Foundation

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An open-ocean thermocline dome south of the equator is a striking feature of the Indian Ocean (IO) as a result of equatorial westerly winds. Over the thermocline dome, the El Nino-forced Rossby waves help sustain the IO basin (IOB) mode and offer climate predictability for the IO and surrounding countries. This study shows that a common equatorial easterly wind bias, by forcing a westward-propagating downwelling Rossby wave in the southern IO, induces too deep a thermocline dome over the southwestern IO (SWIO) in state-of-the-art climate models. Such a deep SWIO thermocline weakens the influence of subsurface variability on sea surface temperature (SST), reducing the IOB amplitude and possibly limiting the models' skill of regional climate prediction. To the extent that the equatorial easterly wind bias originates from errors of the South Asian summer monsoon, improving the monsoon simulation can lead to substantial improvements in simulating and predicting interannual variability in the IO.

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