Articles | Volume 15, issue 12
https://doi.org/10.5194/amt-15-3663-2022
https://doi.org/10.5194/amt-15-3663-2022
Research article
 | 
20 Jun 2022
Research article |  | 20 Jun 2022

Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals

Adrien Guyot, Alain Protat, Simon P. Alexander, Andrew R. Klekociuk, Peter Kuma, and Adrian McDonald

Data sets

PLATO Davis dataset (Austral Summer 2018-2019) (Version 1) A. Guyot, S. Alexander, A. Protat, A. Klekociuk, and A. McDonald https://doi.org/10.5281/zenodo.5832199

ERA5 hourly data on single levels from 1959 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

Model code and software

Automatic Lidar and Ceilometer Framework (ALCF) (1.0.0) P. Kuma, A. J. McDonald, O. Morgenstern, R. Querel, I. Silber, and C. J. Flynn https://doi.org/10.5281/zenodo.4411633

cl2nc (3.3.0) P. Kuma https://doi.org/10.5281/zenodo.4409716

From local explanations to global understanding with explainable AI for trees (https://github.com/slundberg/shap) S. M. Lundberg, G. Erion, H. Chen, A. DeGrave, J. M. Prutkin, B. Nair, R. Katz, J. Himmelfarb, N. Bansal, and S.-I. Lee https://doi.org/10.1038/s42256-019-0138-9

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Short summary
Ceilometers are instruments that are widely deployed as part of operational networks. They are usually not able to detect cloud phase. Here, we propose an evaluation of various methods to detect supercooled liquid water with ceilometer observations, using an extensive dataset from Davis, Antarctica. Our results highlight the possibility for ceilometers to detect supercooled liquid water in clouds.