The double ITCZ bias in CMIP5 models: interaction between SST, large-scale circulation and precipitation

By B. Oueslati, G. Bellon. Climate Dynamics, 2015

164 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Could Machine Learning Break the Convection Parameterization Deadlock? (2018, background): “…also regulates some of the main features of tropical climate [ Singh and O'Gorman , 2013] such as the Inter Tropical Convergence Zone (ITCZ) [ Oueslati and Bellon , 2015], or modes of climate variability [ Bush et al. , 2015] such as El Niño or the Madden Julian Oscillation (MJO) [ Kim et…”
Deep learning to represent subgrid processes in climate models (2018, background): “A look at the mean heating rates for the +4K SST simulation reveals that the ITCZ signal is washed out and unrealistic patterns develop in and above the boundary-layer (Fig.”
Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model (2020, background): “The double ITCZ issue is sometimes associated to entrainment in convective clouds (Oueslati & Bellon, 2013, 2015).”
Quantifying Progress Across Different CMIP Phases With the ESMValTool (2020, background): “A double ITCZ is often driven by incorrect simulation of the meridional gradients in SST across the equator (Oueslati & Bellon, 2015) and thus a complex problem of the coupled atmosphere ‐ ocean system.”