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Impact of projected sea surface temperature biases on tropical cyclones projections in the South Pacific ArchiMer
Dutheil, C.; Lengaigne, Matthieu; Bador, M.; Vialard, J.; Lefèvre, J.; Jourdain, N. C.; Jullien, Swen; Peltier, A.; Sultan, B.; Menkès, C..
Climate model projections generally indicate fewer but more intense tropical cyclones (TCs) in response to increasing anthropogenic emissions. However these simulations suffer from long-standing biases in their Sea Surface Temperature (SST). While most studies investigating future changes in TC activity using high-resolution atmospheric models correct for the present-day SST bias, they do not consider the reliability of the projected SST changes from global climate models. The present study illustrates that future South Pacific TC activity changes are strongly sensitive to correcting the projected SST changes using an emergent constraint method. This additional correction indeed leads to a strong reduction of the cyclogenesis (−55%) over the South Pacific...
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Ano: 2020 URL: https://archimer.ifremer.fr/doc/00614/72648/71651.pdf
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Impact of surface temperature biases on climate change projections of the South Pacific Convergence Zone ArchiMer
Dutheil, Cyril; Bador, M.; Lengaigne, M.; Lefèvre, J.; Jourdain, N. C.; Vialard, J.; Jullien, Swen; Peltier, A.; Menkes, C..
The South Pacific Convergence Zone (SPCZ) is poorly represented in global coupled simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5), with trademark biases such as the tendency to form a “double Intertropical convergence zone” and an equatorial cold tongue that extends too far westward. Such biases limit our confidence in projections of the future climate change for this region. In this study, we use a downscaling strategy based on a regional atmospheric general circulation model that accurately captures the SPCZ present-day climatology and interannual variability. More specifically, we investigate the sensitivity of the projected rainfall response to either just correcting present-day CMIP5 Sea Surface Temperature (SST) biases or...
Tipo: Text Palavras-chave: Regional climate models; South Pacific Convergence Zone; Precipitation; Sea Surface Temperature.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00484/59603/62636.pdf
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