2022
DOI: 10.1175/jcli-d-21-0568.1
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Summertime Marine Boundary Layer Cloud, Thermodynamic, and Drizzle Morphology over the Eastern North Atlantic: A Four-Year Study

Abstract: Summertime remote sensor and in situ data from 2016-2019 collected at the ARM Eastern North Atlantic (ENA) Observatory are combined with aircraft measurements from Aerosol Cloud Experiments in the Eastern North Atlantic (ACE-ENA) campaign to quantify marine boundary layer (MBL) cloud, thermodynamic, and drizzle morphology in the region. A radar reflectivity-rainfall rate relationship (Z-R) is developed from aircraft data and six-hour cloud morphological regimes are identified from ENA data using a k-means algo… Show more

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Cited by 4 publications
(2 citation statements)
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“…This result departs from the precipitation suppression hypothesis, in which LWP typically increases. The absence of a precipitation suppression signal is likely attributable to the relatively modest precipitation that occurs in this region during summer (e.g., Wu et al, 2020b;Zheng and Miller, 2022), resulting in a minimal precipitation suppression effect and a dominant entrainment drying effect. In terms of α c , the potential decrease in α c attributed to a LWP reduction offsets the potential increases in α c caused by the Twomey effect, resulting in a net-zero change in mean α c for clouds with N d < 40 cm −3 (Fig.…”
Section: General Cloud Conditions and Mean Cloud Responses To N D Per...mentioning
confidence: 99%
“…This result departs from the precipitation suppression hypothesis, in which LWP typically increases. The absence of a precipitation suppression signal is likely attributable to the relatively modest precipitation that occurs in this region during summer (e.g., Wu et al, 2020b;Zheng and Miller, 2022), resulting in a minimal precipitation suppression effect and a dominant entrainment drying effect. In terms of α c , the potential decrease in α c attributed to a LWP reduction offsets the potential increases in α c caused by the Twomey effect, resulting in a net-zero change in mean α c for clouds with N d < 40 cm −3 (Fig.…”
Section: General Cloud Conditions and Mean Cloud Responses To N D Per...mentioning
confidence: 99%
“…Additionally, there is a slight underestimation of EIS in ICON compared to ERA5. It can be noted that ERA5 itself might underestimate EIS in stratocumulus regions: Although model developments led to an increasingly better representation of boundary-layer stratocumulus clouds in ERA reanalysis (Köhler et al, 2011), biases remain (Ahlgrimm et al, 2018), and the sharpness of the inversion at the top of the boundary layer is often underestimated (Kalmus et al, 2015;Zheng and Miller, 2022). Fig.…”
mentioning
confidence: 99%