Observed and modeled patterns of covariability between low‐level cloudiness and the structure of the trade‐wind layer

Journal of Advances in Modeling Earth Systems

Louise Nuijens¹  Brian Medeiros²  Irina Sandu³ 

[1] Atmosphere in the Earth System Department, Max Planck Institute for Meteorology, Hamburg, Germany;Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA;Physical Aspects Section, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, UK

关键词: shallow convection;    cloudiness;    trade‐wind layer;   

DOI  :  10.1002/2015MS000483

来源: Wiley

【 摘 要 】

Abstract

We present patterns of covariability between low-level cloudiness and the trade-wind boundary layer structure using long-term measurements at a site representative of dynamical regimes with moderate subsidence or weak ascent. We compare these with ECMWF's Integrated Forecast System and 10 CMIP5 models. By using single-time step output at a single location, we find that models can produce a fairly realistic trade-wind layer structure in long-term means, but with unrealistic variability at shorter-time scales. The unrealistic variability in modeled cloudiness near the lifting condensation level (LCL) is due to stronger than observed relationships with mixed-layer relative humidity (RH) and temperature stratification at the mixed-layer top. Those relationships are weak in observations, or even of opposite sign, which can be explained by a negative feedback of convection on cloudiness. Cloudiness near cumulus tops at the trade-wind inversion instead varies more pronouncedly in observations on monthly time scales, whereby larger cloudiness relates to larger surface winds and stronger trade-wind inversions. However, these parameters appear to be a prerequisite, rather than strong controlling factors on cloudiness, because they do not explain submonthly variations in cloudiness. Models underestimate the strength of these relationships and diverge in particular in their responses to large-scale vertical motion. No model stands out by reproducing the observed behavior in all respects. These findings suggest that climate models do not realistically represent the physical processes that underlie the coupling between trade-wind clouds and their environments in present-day climate, which is relevant for how we interpret modeled cloud feedbacks.

【 授权许可】

CC BY-NC-ND   
© 2015. The Authors.

Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.