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Analysis of trends in low cloud cover from ground-based lidar ceilometers, CERES satellite data and ERA5 reanalysis

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lcc-trend-analysis

A Python toolkit for observation-driven analysis of atmospheric cloud cover.

Currently supported data sources are:

  • Lidar ceilometer observations
  • ERA5 reanalysis
  • CERES satellite records

Most of the bulk processing happens through the entrypoint scripts, whereas final analysis and visualization is done in the notebooks.

License

Apache License Version 2.0, see the LICENSE file.

Developer

Sasu Karttunen
TU Delft
s.m.karttunen@tudelft.nl

About

Analysis of trends in low cloud cover from ground-based lidar ceilometers, CERES satellite data and ERA5 reanalysis

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