LTPy - a Jupyter-based Learning Tool for Atmospheric Composition Data

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ADS bibcode: 2019AGUFMED23D..01W
year: 2019
Listed Authors: Wagemann, J.; Mantovani, S.; Fletcher, N.; Higgins, M.; Fierli, F.
Listed Institutions: Laboratory for Climatology and Remote Sensing, University of Marburg, Marburg, Germany; Organization Not Listed, Ferrara, Italy; EUMETSAT, Darmstadt, Germany; EUMETSAT, Darmstadt, Germany; EUMETSAT, Darmstadt, Germany

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