Ralf Bennartz

TL;DR: In this article, a global satellite data is used to infer the droplet number concentration of marine boundary layer clouds under the assumption of adiabatically stratified clouds and theoretical error estimates show that for a liquid water path higher than 30 g/m2 and a cloud fraction higher than 0.8, H (N) can be derived with a relative uncertainty of better than 20% (80%).

TL;DR: Wang et al. as mentioned in this paper analyzed the long-term variability of atmospheric water vapor and its correlation with light rain events and showed that aerosols corresponding to heavily polluted conditions can significantly increase the cloud droplet number concentration (CDNC) and reduce droplet sizes compared to pristine conditions.

TL;DR: These results may help to explain the difficulties that global climate models have in simulating the Arctic surface energy budget, particularly as models tend to under-predict the formation of optically thin liquid clouds at supercooled temperatures—a process potentially necessary to account fully for temperature feedbacks in a warming Arctic climate.

TL;DR: In this article, a new climatology of cloud liquid water path (LWP) based on satellite-based passive microwave observations over the global oceans is presented, which is based on a modern retrieval methodology applied consistently to the Special Sensor Microwave Imager (SSM/I), the Tropical Rainfall Measuring Mission (TRMM)Microwave IMager (TMI), and the Advanced Microwaves Scanning Radiometer (AMSR-E) for Earth Observing System (EOS) (AM SR-E), beginning in 1988 and continuing

TL;DR: A simple physical model is used, incorporating 26 years of satellite data, to estimate the temperature response of the ocean mixed layer to changes in aerosol loadings, and suggests that the mixed layer’s response to regional variability in aerosols accounts for 69% of the recent upward trend, and 67%, of the detrended and 5-year low pass–filtered variance, in northern tropical Atlantic Ocean temperatures.