Articles | Volume 15, issue 15
https://doi.org/10.5194/amt-15-4411-2022
https://doi.org/10.5194/amt-15-4411-2022
Research article
 | 
02 Aug 2022
Research article |  | 02 Aug 2022

A kriging-based analysis of cloud liquid water content using CloudSat data

Jean-Marie Lalande, Guillaume Bourmaud, Pierre Minvielle, and Jean-François Giovannelli

Data sets

Level 2B-CWC-RO CloudSat data CloudSat Data Processing Center http://www.cloudsat.cira.colostate.edu/

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Short summary
In this paper we describe the implementation of an interpolation–prediction estimator applied to cloud properties derived from CloudSat observations. The objective is to evaluate the uncertainty associated with the estimated quantity. The model developed in this study can be valuable for satellite applications (GPS, telecommunication) as well as for cloud product comparisons. This paper is didactic and beneficial for anyone interested in kriging estimators.