Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds

Keernik, Hannes; Toll, Velle

dc.contributor.author	Keernik, Hannes
dc.contributor.author	Toll, Velle
dc.date.accessioned	2024-10-31T07:59:26Z
dc.date.available	2024-10-31T07:59:26Z
dc.date.issued	2024
dc.identifier.uri	https://datadoi.ee/handle/33/651
dc.identifier.uri	https://doi.org/10.23673/re-488
dc.description.abstract	The given python code is used to analyse anthropogenic glaciation of supercooled liquid-water clouds downwind of strong industrial point sources of air pollution using Terra MODIS satellite data.	en
dc.format	py	en
dc.format	nc4	en
dc.format	JSON	en
dc.format	txt	en
dc.format	CSV	en
dc.language.iso	en	en
dc.publisher	University of Tartu	en
dc.relation	Estonian Research Council grant PRG1726	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.rights	Attribution 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	clouds	en
dc.subject	remote sensing	en
dc.subject	glaciation of clouds	en
dc.subject	MODIS	en
dc.subject	Python	en
dc.title	Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds	en
dc.type	info:eu-repo/semantics/dataset	en
dc.relation.iscitedby	Glaciation of liquid clouds, snowfall, and reduced cloud cover at industrial aerosol hot spots (Toll et al., Science)	en