Acknowledging ampycloud

1. Only use lower case letters when mentioning ampycloud, and always include the version number. Ideally, you should also include the Digital Object Identifier (DOI) associated to the specific release you have been using:

   ampycloud 2.1.0

2. If ampycloud was useful for your research, please cite the dedicated article:

   @Article{Vogt2024,
   AUTHOR = {Vogt, F. P. A. and Foresti, L. and Regenass, D. and R\'ethor\'e, S. and
             Tarin Burriel, N. and Bibby, M. and Juda, P. and Balmelli, S. and
             Hanselmann, T. and du Preez, P. and Furrer, D.},
   TITLE = {ampycloud: an open-source algorithm to determine cloud base heights and
            sky coverage fractions from ceilometer data},
   JOURNAL = {Atmospheric Measurement Techniques},
   VOLUME = {17},
   YEAR = {2024},
   NUMBER = {16},
   PAGES = {4891--4914},
   URL = {https://amt.copernicus.org/articles/17/4891/2024/},
   DOI = {10.5194/amt-17-4891-2024}
   }
   

3. ampycloud relies on external Python libraries that require & deserve to be acknowledged in their own right. The following LaTeX blurb is one way to do so:

   This research has made use of \textit{ampycloud vX.Y.Z} \citep[DOI:][]{TBD}
   Python package. \textit{ampycloud} relies, in part, on the following Python packages:
   \textsc{matplotlib} \citep{Hunter2007}, \textit{numpy} \citep{Oliphant2006, Van2011},
   \textsc{pandas} \citep{McKinney2010,reback2020},
   \textit{scikit-learn} \citep{Pedregosa2011}, \textsf{scipy} \citep{Virtanen2020},
   and \textit{statsmodels} \citep{seabold2010}.
   
   @article{Hunter2007,
     Author    = {Hunter, J. D.},
     Title     = {Matplotlib: A 2D graphics environment},
     Journal   = {Computing in Science \& Engineering},
     Volume    = {9},
     Number    = {3},
     Pages     = {90--95},
     abstract  = {Matplotlib is a 2D graphics package used for Python for
     application development, interactive scripting, and publication-quality
     image generation across user interfaces and operating systems.},
     publisher = {IEEE COMPUTER SOC},
     doi       = {10.1109/MCSE.2007.55},
     year      = 2007
   }
   
   @InProceedings{ McKinney2010,
     author    = { {W}es {M}c{K}inney },
     title     = { {D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython },
     booktitle = { {P}roceedings of the 9th {P}ython in {S}cience {C}onference },
     pages     = { 56 - 61 },
     year      = { 2010 },
     editor    = { {S}t\'efan van der {W}alt and {J}arrod {M}illman },
     doi       = { 10.25080/Majora-92bf1922-00a }
   }
   
   @book{Oliphant2006,
     title     = {A guide to NumPy},
     author    = {Oliphant, Travis E},
     volume    = {1},
     year      = {2006},
     publisher = {Trelgol Publishing USA}
   }
   
   @article{Pedregosa2011,
    title={Scikit-learn: Machine Learning in {P}ython},
    author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
            and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
            and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
            Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
    journal={Journal of Machine Learning Research},
    volume={12},
    pages={2825--2830},
    year={2011}
   }
   
   @software{reback2020,
       author  = {The pandas development team},
       title   = {pandas-dev/pandas: Pandas},
       month   = feb,
       year    = 2020,
       publisher = {Zenodo},
       version = {latest},
       doi     = {10.5281/zenodo.3509134},
       url     = {https://doi.org/10.5281/zenodo.3509134}
   }
   
   @inproceedings{seabold2010,
       title={statsmodels: Econometric and statistical modeling with python},
       author={Seabold, Skipper and Perktold, Josef},
       booktitle={9th Python in Science Conference},
       year={2010},
   }
   
   @article{Van2011,
     title     = {The NumPy array: a structure for efficient numerical computation},
     author    = {Van Der Walt, Stefan and Colbert, S Chris and Varoquaux, Gael},
     journal   = {Computing in Science \& Engineering},
     volume    = {13},
     number    = {2},
     pages     = {22},
     year      = {2011},
     publisher = {IEEE Computer Society}
   }
   
   @ARTICLE{Virtanen2020,
       author  = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and
       Haberland, Matt and Reddy, Tyler and Cournapeau, David and
       Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and
       Bright, Jonathan and {van der Walt}, St{\'e}fan J. and
       Brett, Matthew and Wilson, Joshua and Millman, K. Jarrod and
       Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and
       Kern, Robert and Larson, Eric and Carey, C J and
       Polat, {\.I}lhan and Feng, Yu and Moore, Eric W. and
       {VanderPlas}, Jake and Laxalde, Denis and Perktold, Josef and
       Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and
       Harris, Charles R. and Archibald, Anne M. and
       Ribeiro, Ant{\^o}nio H. and Pedregosa, Fabian and
       {van Mulbregt}, Paul and {SciPy 1.0 Contributors}},
       title   = {{{SciPy} 1.0: Fundamental Algorithms for Scientific
       Computing in Python}},
       journal = {Nature Methods},
       year    = {2020},
       volume  = {17},
       pages   = {261--272},
       adsurl  = {https://rdcu.be/b08Wh},
       doi     = {10.1038/s41592-019-0686-2},
       }