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Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation Cover

Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation

Open Access
|Sep 2022

Authors

Sudhakar Dipu

dipu.sudhakar@uni-leipzig.de

Institute for Meteorology, Universität Leipzig, Leipzig

Matthias Schwarz

matthias.schwarz@misu.su.se

Department of Meteorology and Bolin Centre for Climate Research, Stockholm University, Stockholm, SE; Now at ZAMG – Zentralanstalt für Meteorologie und Geodynamik, Vienna

Annica M. L. Ekman

annica@misu.su.se

Department of Meteorology and Bolin Centre for Climate Research, Stockholm University, Stockholm

Edward Gryspeerdt

e.gryspeerdt@imperial.ac.uk

Space and Atmospheric Physics Group, Imperial College London

Tom Goren

tom.goren@uni-leipzig.de

Institute for Meteorology, Universität Leipzig, Leipzig

Odran Sourdeval

info@ubiquitypress.com

Laboratoired’Optique Atmosphérique, Université de Lille

Johannes Mülmenstädt

johannes.muelmenstaedt@pnnl.gov

Institute for Meteorology, Universität Leipzig, Leipzig, DE; Now at Pacific Northwest National Laboratory, Richland

Johannes Quaas

johannes.quaas@uni-leipzig.de

Institute for Meteorology, Universität Leipzig, Leipzig
DOI: https://doi.org/10.16993/tellusb.27 | Journal eISSN: 1600-0889
Language: English
Page range: 176 - 188
Submitted on: Feb 11, 2022
Accepted on: Aug 28, 2022
Published on: Sep 16, 2022
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2022 Sudhakar Dipu, Matthias Schwarz, Annica M. L. Ekman, Edward Gryspeerdt, Tom Goren, Odran Sourdeval, Johannes Mülmenstädt, Johannes Quaas, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.