Intermodel variances of subtropical stratocumulus environments simulated in CMIP5 models

摘要: This paper investigates simulation biases associated with the large-scale environments of subtropical marine stratocumulus (Sc) in present climate simulations from Coupled Model Intercomparison Project Phase 5 models. Comparison eight major variables that strongly control Sc clouds, including jumps temperature and vapor across inversion layer, indicates these models all have similar shortcomings, such as overestimation sensible latent surface fluxes. The differences among between regions were also evaluated. Of regions, Namibian region showed largest biases. modeled skill annual variation low cloud cover (LCC) increases when correlation coefficient LCC lower atmospheric stability is higher. reemphasizes importance, suggested previous studies, an improved relationship tropospheric if we are to better predict variations LCC.