Intermodel spread of the double-ITCZ bias in coupled GCMs tied to land surface temperature in AMIP GCMs

TitleIntermodel spread of the double-ITCZ bias in coupled GCMs tied to land surface temperature in AMIP GCMs
Publication TypeJournal Article
Year of Publication2017
AuthorsZhou W.Y, Xie SP
JournalGeophysical Research Letters
Volume44
Pagination7975-7984
Date Published2017/08
Type of ArticleArticle
ISBN Number0094-8276
Accession NumberWOS:000408379000047
Keywordsclimate models; CMIP5; cycle; eastern pacific; general-circulation models; heat-transport; impacts; intertropical convergence zone; seasonal; southern-ocean; tropical pacific
Abstract

Global climate models (GCMs) have long suffered from biases of excessive tropical precipitation in the Southern Hemisphere (SH). The severity of the double-Intertropical Convergence Zone (ITCZ) bias, defined here as the interhemispheric difference in zonal mean tropical precipitation, varies strongly among models in the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble. Models with a more severe double-ITCZ bias feature warmer tropical sea surface temperature (SST) in the SH, coupled with weaker southeast trades. While previous studies focus on coupled ocean-atmosphere interactions, here we show that the intermodel spread in the severity of the double-ITCZ bias is closely related to land surface temperature biases, which can be further traced back to those in the Atmosphere Model Intercomparison Project (AMIP) simulations. By perturbing land temperature in models, we demonstrate that cooler land can indeed lead to a more severe double-ITCZ bias by inducing the above coupled SST-trade wind pattern in the tropics. The response to land temperature can be consistently explained from both the dynamic and energetic perspectives. Although this intermodel spread from the land temperature variation does not account for the ensemble model mean double-ITCZ bias, identifying the land temperature effect provides insights into simulating a realistic ITCZ for the right reasons. Plain Language Summary As our main tool to understand large-scale climate dynamics, global climate models (GCMs) suffer from systematic bias in their simulated tropical precipitation distribution. Much more precipitation falls in the South Hemisphere compared to observations. Such bias has global consequences and persists in GCMs for the past two decades with its source remaining obscure. While previous studies focus on atmosphere-ocean interactions, here we reveal that land temperature plays an important role in shaping tropical climate including the precipitation distribution. This previously overlooked mechanism is demonstrated through both intermodel analysis of GCMs from Coupled Model Intercomparison Project Phase 5 and climate simulations with perturbed land temperature.

DOI10.1002/2017gl074377
Student Publication: 
No