Articles | Volume 18, issue 9
Atmos. Chem. Phys., 18, 6157–6169, 2018
https://doi.org/10.5194/acp-18-6157-2018
Atmos. Chem. Phys., 18, 6157–6169, 2018
https://doi.org/10.5194/acp-18-6157-2018

Research article 03 May 2018

Research article | 03 May 2018

An automated cirrus classification

Edward Gryspeerdt et al.

Data sets

Identification and classification of Cirrus (IC-CIR): A cirrus classification based on satellite and reanalysis data (2003-2013) Edward Gryspeerdt, Johannes Quaas, Tom Goren, Daniel Klocke, and Matthias Brueck https://doi.org/10.5285/cddfe3093be247d7bac56c9fa9edb3d5

MODIS Atmosphere L3 Daily Product S. Platnick, M. King, and P. Hubanks https://doi.org/10.5067/MODIS/MOD08_D3.006

Download
Short summary
Cirrus clouds can form by a variety of mechanisms, such as orographic uplift, through convective systems or through large-scale rising motions. In this work, an automated classification of cirrus clouds based on satellite and reanalysis data is presented to separate cirrus by these different formation mechanisms. The classification provides information on the ice origin and cloud-scale updraughts that could not be determined using satellite or reanalysis data alone.
Altmetrics
Final-revised paper
Preprint