@article{a3edf25a125545c4913b1173f1edc1bd,
title = "Cloud Adiabaticity and Its Relationship to Marine Stratocumulus Characteristics Over the Northeast Pacific Ocean",
abstract = " Cloud adiabaticity (α) is defined as the ratio of the actual liquid water path (LWP measured ) in a cloud to its corresponding adiabatic value (LWP ad ). Processes such as drizzle and entrainment can lead to subadiabatic LWP measured . This study examines α and its relationship to microphysical properties for 86 cloud events over the Northeast Pacific Ocean based on data collected during four separate summertime airborne campaigns. For the study region, α was found to be 0.766 ± 0.134. For most cases, clouds with a low value of α were found to have lower droplet number concentration (N d ), higher droplet effective radius (r e ), higher relative dispersion (d), and higher rain rate (R). The subcloud aerosol concentration (N a ) was often less for the low-α cases. The relationship between α and the vertical profiles and cloud-top characteristics for both the cloud droplet-only spectrum and full spectrum (cloud and rain droplets) is also examined. Inclusion of rain droplets produced a larger change in d for the low-α clouds as compared to the high-α clouds. On average, R increased at cloud top for high-α clouds but decreased at cloud top for low-α clouds. Accounting for α when estimating N d from Moderate Resolution Imaging Spectroradiometer retrievals results in better agreement with in situ N d values. Results of this work motivate the need for additional focus on the factors governing α, such as cloud type, and implications of its value, especially for remote-sensing retrievals. ",
author = "Braun, {Rachel A.} and Hossein Dadashazar and MacDonald, {Alexander B.} and Ewan Crosbie and Jonsson, {Haflidi H.} and Woods, {Roy K.} and Flagan, {Richard C.} and Seinfeld, {John H.} and Armin Sorooshian",
note = "Funding Information: All aircraft data used in this work can be found in the Figshare database (Sorooshian et al., 2018; https://figshare. com/articles/A_Multi-Year_Data_Set_ on_Aerosol-Cloud-Precipitation-Meteorology_Interactions_for_Marine_ Stratocumulus_Clouds/5099983). This work was funded by Office of Naval Research grants N00014-10-1-0811, N00014-11-1-0783, N00014-10-1-0200, N00014-04-1-0118, and N00014-16-1-2567. A. MacDonald acknowledges support from the Mexican National Council for Science and Technology (CONACyT). The Terra/MODIS Clouds 5-Min L2 Swath 1km and 5km data sets were acquired from the Level-1 and Atmosphere Archive and Distribution System (LAADS) Distributed Active Archive Center (DAAC), located in the Goddard Space Flight Center in Greenbelt, Maryland (https://ladsweb. nascom.nasa.gov/). Funding Information: All aircraft data used in this work can be found in the Figshare database (Sorooshian et al.,; https://figshare.com/articles/A_Multi-Year_Data_Set_on_Aerosol-Cloud-Precipitation-Meteorology_Interactions_for_Marine_Stratocumulus_Clouds/5099983). This work was funded by Office of Naval Research grants N00014-10-1-0811, N00014-11-1-0783, N00014-10-1-0200, N00014-04-1-0118, and N00014-16-1-2567. A. MacDonald acknowledges support from the Mexican National Council for Science and Technology (CONACyT). The Terra/MODIS Clouds 5-Min L2 Swath 1km and 5km data sets were acquired from the Level-1 and Atmosphere Archive and Distribution System (LAADS) Distributed Active Archive Center (DAAC), located in the Goddard Space Flight Center in Greenbelt, Maryland (https://ladsweb.nascom.nasa.gov/). Publisher Copyright: {\textcopyright}2018. American Geophysical Union. All Rights Reserved.",
year = "2018",
month = dec,
day = "27",
doi = "10.1029/2018JD029287",
language = "English (US)",
volume = "123",
pages = "13,790--13,806",
journal = "Journal of Geophysical Research Atmospheres",
issn = "2169-897X",
number = "24",
}