Browsing by Subject "remote sensing"
Now showing items 1-8 of 8
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Air pollution sources leading to anthropogenic glaciation of supercooled liquid-water clouds
(University of Tartu, 2024)This dataset lists the air pollution sources leading to anthropogenic glaciation of supercooled liquid-water clouds. The glaciation events were identified in Terra MODIS data. -
GOES ABI satellite data to study anthropogenic glaciation of supercooled liquid-water clouds downwind of industrial air pollution hot spots
(University of Tartu, 2024)The dataset contains geographical locations and datetimes of occurrence for the events of anthropogenic glaciation of supercooled liquid-water clouds identified in GOES ABI satellite data. Moreover, Python code used for ... -
Ground-based precipitation radar data to study glaciation of supercooled liquid-water clouds downwind of anthropogenic air pollution hot spots
(University of Tartu, 2024)Ground-based precipitation radar datasets (two sites in Canada) were used to study the glaciation of supercooled liquid-water clouds downwind anthropogenic air pollution sources. Weather radar data is from two radar ... -
Hole punch clouds near Moscow Domodedovo airport
(University of Tartu, 2024)We used Terra MODIS satellite data to study hole punch clouds near Moscow Domodedovo airport (55.408611 N 37.906111 E). -
Large-scale polluted cloud tracks
(2020-05-15)Polluted cloud tracks identified in MODIS satellite data. -
MODIS and HYSPLIT data to study anthropogenic glaciation of supercooled liquid-water clouds
(University of Tartu, 2024)We used MODIS (https://modis-images.gsfc.nasa.gov/_docs/C6MOD06OPUserGuide.pdf) and HYSPLIT (https://www.ready.noaa.gov/HYSPLIT.php) data to study the anthropogenic glaciation of supercooled liquid-water clouds. We used ... -
Pollution track days
(University of Tartu, 2021)Dates of polluted cloud tracks identified in MODIS satellite data. -
Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
(University of Tartu, 2024)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.