Impact of surface temperature biases on climate change projections of the South Pacific Convergence Zone

Type Article
Date 2019-09
Language English
Author(s) Dutheil Cyril1, Bador M.2, Lengaigne M.3, Lefèvre J.1, Jourdain N. C.4, Vialard J.3, Jullien SwenORCID5, Peltier A.6, Menkes C.1
Affiliation(s) 1 : IRD (Institut de Recherche pour le Développement)- Sorbonne Universités (UPMC, Université Paris 06)-CNRSMNHN- IPSL, LOCEAN Laboratory, IRD Nouméa BP A5, 98848 Nouméa, New Caledonia, France
2 : Climate Change Research Centre and ARC Centre of Excellence for Climate Extremes, School of BEES, University of New South Wales, Sydney, NSW, Australia
3 : LOCEAN-IPSL, Sorbonne Universités, UPMC, Université Paris 06, CNRS-IRD-MNHN, Paris, France
4 : University of Grenoble Alpes/CNRS/IRD/G-INP, IGE, Grenoble, France
5 : Ifremer, University of Brest, CNRS, IRD, Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM, Plouzané, France
6 : Météo France, Nouméa, Nouvelle Calédonie, France
Source Climate Dynamics (0930-7575) (Springer Nature), 2019-09 , Vol. 53 , N. 5-6 , P. 3197-3219
DOI 10.1007/s00382-019-04692-6
WOS© Times Cited 15
Keyword(s) Regional climate models, South Pacific Convergence Zone, Precipitation, Sea Surface Temperature

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 correcting projected SST changes using an emergent constraint approach. While the equatorial western Pacific projected rainfall increase is robust in our experiments and CMIP5, correcting the projected CMIP5 SST changes yields a considerably larger reduction (~ 25%) than in CMIP5 simulations (~ + 3%) in the southwestern Pacific. Indeed, correcting the projected CMIP5 warming pattern yields stronger projected SST gradients, and more humidity convergence reduction under the SPCZ. Finally, our bias-corrected set of experiments yields an increase in equatorial rainfall and SPCZ variability in the future, but does not support the future increase in the frequency of zonal SPCZ events simulated by CMIP5 models. This study hence suggests that atmospheric downscaling studies should not only correct CMIP5 present-day SST biases but also projected SST changes to improve the reliability of their projections. Additional simulations with different physical parameterizations yield robust results.

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