4.6 Article

On the impact of atmospheric vs oceanic resolutions on the representation of the sea surface temperature in the South Eastern Tropical Atlantic

期刊

CLIMATE DYNAMICS
卷 54, 期 11-12, 页码 4733-4757

出版社

SPRINGER
DOI: 10.1007/s00382-020-05256-9

关键词

Oceanic resolution; Atmospheric resolution; Coupled climate model; Sea surface temperature biases; Tropical Atlantic

资金

  1. Spanish Ministry of Science, Innovation and Universities
  2. Spanish State Research Agency
  3. European Regional Development Fund [CGL2017-89583-R]
  4. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [TRR 181, 274762653]
  5. Helmholtz Climate Initiative REKLIM (Regional Climate Change)
  6. program of Giner de los Rios 2018/19, Universidad de Alcala
  7. FCT projects LEADING [PTDC/CTA-MET/28914/2017, UID/GEO/50019/2019]
  8. German Climate Computing Center (DKRZ) [641727]
  9. FASO Russia [0149-2019-0015]

向作者/读者索取更多资源

Despite the efforts of the modelling community to improve the representation of the sea surface temperature (SST) over the South Eastern Tropical Atlantic, warm biases still persist. In this work we use four different configurations of the fully-coupled AWI Climate Model (AWI-CM) which allow us to gain physics-based insight into the role of the oceanic and atmospheric resolutions of the model in the regional distribution of the SST. Our results show that a sole refinement of the oceanic resolution reduces warm biases further than a single increase of the atmospheric component. An increased oceanic resolution is required (i) to simulate properly the Agulhas Current and its associated rings; (ii) to reinforce the northward-flowing Benguela Current and (iii) to intensify coastal upwelling. The best results are obtained when both resolutions are refined. However, even in that case, warm biases persist, reflecting that some processes and feedbacks are still not optimally resolved. Our results indicate that overheating is not due to insufficient upwelling, but rather due to upwelling of waters which are warmer than observations as a result of an erroneous representation of the vertical distribution of temperature. Errors in the representation of the vertical temperature profile are the consequence of a warm bias in the simulated climate state.

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