Kurzfassungen der Meteorologentagung DACH
DACH2022-252, 2022
https://doi.org/10.5194/dach2022-252
DACH2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Exploring satellite-derived relationships between cloud droplet number concentration and liquid water path using a large-domain large-eddy simulation

Sudhakar Dipu1, Matthias Schwarz2, Annica Ekman2, Edward Gryspeerdt3, Tom Goren1, Odran Sourdeval4, Johannes Mülmenstädt5, and Johannes Quaas1
Sudhakar Dipu et al.
  • 1University of Leipzig, Institute for meteorology, Leipzig, Germany (dipu.sudhakar@uni-leipzig.de)
  • 2Department of Meteorology, Stockholm University, Stockholm, Sweden
  • 3Imperial College, London, UK
  • 4Laboratoired’Optique Atmosphérique, Université de Lille, France
  • 5Pacific Northwest National Laboratory, Richland, USA

Important aspects of the adjustments to aerosol-cloud interactions can be examined using the relationship between cloud droplet number concentration (Nd) 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 Nd 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 adiabatic assumption to derive the Nd (NAd), we have also considered NAd from the LES model for comparison. The NAd-LWP relationship in the satellite and the LES model show similar, generally positive, but non-monotonic relations. This case over continent thus behaves differently compared to previously-published analysis of oceanic clouds, and the analysis illustrates a regime dependency (marine and continental) in the NAd-LWP relation in the satellite retrievals. The study further explores the impact of the satellite retrieval assumptions on the Nd-LWP relationship. When considering the relationship of the actually simulated cloud-top Nd, rather than NAd, with LWP, the result shows a much more nonlinear relationship. The difference is much less pronounced, however, for shallow stratiform than for convective clouds. Comparing local vs large-scale statistics from satellite data shows that continental clouds exhibit only a weak nonlinear Nd-LWP relationship. Hence a regime based Nd-LWP analysis is even more relevant when it comes to continental clouds.

How to cite: Dipu, S., Schwarz, M., Ekman, A., Gryspeerdt, E., Goren, T., Sourdeval, O., Mülmenstädt, J., and Quaas, J.: Exploring satellite-derived relationships between cloud droplet number concentration and liquid water path using a large-domain large-eddy simulation, DACH2022, Leipzig, Deutschland, 21–25 Mar 2022, DACH2022-252, https://doi.org/10.5194/dach2022-252, 2022.