In this section
@inproceedings{Dipu:2022:10.5194/egusphere-egu22-8789,
author = {Dipu, S and Schwarz, M and Ekman, AML and Gryspeerdt, E and Goren, T and Sourdeval, O and Mülmenstädt, J and Quaas, J},
doi = {10.5194/egusphere-egu22-8789},
title = {Exploring satellite-derived relationships between cloud droplet number concentration and liquid water path using large-domain large-eddy simulation},
url = {http://dx.doi.org/10.5194/egusphere-egu22-8789},
year = {2022}
}
TY - CPAPER
AB - <jats:p><p>Important aspects of the adjustments to aerosol-cloud interactions can be examined using the relationship between cloud droplet number concentration (N<sub>d</sub>) and liquid water path (LWP). Specifically, this relation can constrain the role of aerosols in leading to thicker or thinner clouds in response to adjustment mechanisms. This study investigates the satellite retrieved relationship between N<sub>d</sub> and LWP for a selected case of mid-latitude continental clouds using high-resolution Large-eddy simulations (LES) over a large domain in weather prediction mode. Since the satellite retrieval uses the adiabatic assumption to derive the N<sub>d</sub> (N<sub>Ad</sub>), we have also considered N<sub>Ad</sub> from the LES model for comparison. The joint histogram analysis shows that the N<sub>Ad</sub>-LWP relationship in the LES model and the satellite is in approximate agreement. In both cases, the peak conditional probability (CP) is confined to lower N<sub>Ad</sub> and LWP, and the corresponding mean LWP shows a weak relation with N<sub>Ad</sub>. In contrast, at higher N<sub>Ad</sub> (> 50 cm<sup>&#8722;3</sup> ), the CP shows a larger spread; consequently, the mean LWP increases non-monotonically with increasing N<sub>Ad</sub> in both cases. However, the N<sub>Ad</sub>-LWP relation lacks, in particular, the negative sensitivity at higher N<sub>Ad&l
AU - Dipu,S
AU - Schwarz,M
AU - Ekman,AML
AU - Gryspeerdt,E
AU - Goren,T
AU - Sourdeval,O
AU - Mülmenstädt,J
AU - Quaas,J
DO - 10.5194/egusphere-egu22-8789
PY - 2022///
TI - Exploring satellite-derived relationships between cloud droplet number concentration and liquid water path using large-domain large-eddy simulation
UR - http://dx.doi.org/10.5194/egusphere-egu22-8789
ER -