Simon Paul de Szoeke — Oregon State University
Sandra Yuter — North Carolina State University
David B. Mechem — University of Kansas
Category
Entrainment
Description
Marine low cloud amount has previously been found to be correlated to lower tropospheric stability (700hPa-surface potential temperature) or estimated inversion strength (EIS) on seasonal and interannual time scales. A stronger inversion is presumed to limit entrainment of dry air into the boundary layer, aiding cloud formation and limiting cloud evaporation. We investigate the marine low cloud-EIS relation on seasonal, daily, and diurnal timescales with 26 years of ISCCP D1 adjusted low cloud fraction and EIS from NCEP reanalysis. Seasonal covariance (stable-cloudy) dominates only over the southeastern Pacific and Atlantic Oceans equatorward of 18° latitude. Synoptic variability is responsible for almost all EIS-low cloud covariance poleward of 18°. Cloud-EIS covariance is positive over 15-45° latitude and negative (unstable-cloudy) over 45-60°. This dipole in the covariance is explained by the tilt of southwest-northeast orientation of clouds to the northwest-southeast orientation of EIS in synoptic storms, and is influenced by masking of low clouds by higher clouds in the satellite data. Synoptic covariance of low-topped cloud with downward vertical velocity is found centered in midlatitude storm tracks (45° latitude).
Low clouds cool the climate by reflecting sunlight, shading the ocean surface, and emitting thermal radiation at a warm temperature. Surface climate warming is expected to reduce inversion strength and thus reduce cloud amount, so the effect of the inversion strength on marine low cloud represents a positive climate feedback. We find the seasonal cycle in the EIS-low cloud correlation (stable-cloudy) is important but its dominance is limited to the southeastern tropical Atlantic and Pacific Oceans. Since the seasonal covariance of inversion strength to low cloud is a small fraction of the covariance around the globe, the time scale and processes responsible for marine low cloud correlations should be considered carefully when extrapolating low cloud-EIS correlations to the formulation of low cloud parameterizations, to evaluation of marine low clouds in models, and to evaluation of climate feedbacks.