4.6 Article

Precipitation interannual variability in South America from the WCRP-CMIP3 multi-model dataset

期刊

CLIMATE DYNAMICS
卷 32, 期 7-8, 页码 1003-1014

出版社

SPRINGER
DOI: 10.1007/s00382-009-0534-7

关键词

South American climate; Coupled climate models; WCRP-CMIP3 multi-model dataset; Southern Annular Mode; ENSO events

资金

  1. ANPCyT [PICT04-25269]
  2. CONICET [PIP-5400]
  3. EU Project [001454]
  4. Program for Climate Model Diagnosis and Intercomparison (PCMDI)
  5. Working Group on Coupled Modelling (WGCM)
  6. Coupled Model Intercomparison Project (CMIP)
  7. Office of Science, U. S. Department of Energy

向作者/读者索取更多资源

The ability of coupled climate models from the WCRP-CMIP3 multi-model dataset to reproduce the interannual seasonal variability of precipitation in South America and the influence of the Southern Annular Mode (SAM) and El NiA +/- o-Southern Oscillation (ENSO) on such variability is examined. Models are able to reproduce the northward migration of the precipitation variability maximum during autumn and winter and its later return towards the south during spring and summer as well as the high variability throughout the year in southern Chile. Nevertheless, most of them have problems in representing accurately the variability associated with the South Atlantic convergence zone during summer and the typical maximum of variability in the subtropical continent during autumn and winter. The annular-like structure characteristic of the SAM influence on the Southern Hemisphere circulation is basically simulated by all models, but they have serious deficiencies in representing the observed relationship between SAM and both precipitation and circulation anomalies in South America. In addition, most of the models are not able to reproduce the typical wavetrains observed in the circulation anomalies in the Southern Hemisphere associated to ENSO. Only few models, previously identified as those with reasonable ENSO representation at the equatorial Pacific, have evidences of such wavetrains. Coherently, they exhibit the best representation of the ENSO signal in the South American precipitation. Results show that considerable improvement in the model representation of the climate variability in South America and in the associated large-scale teleconnections is still needed.

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