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CITATION.cff
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cff-version: 1.2.0
message: If ampycloud was useful for your research, please cite both the dedicated article (https://doi.org/10.5194/amt-17-4891-2024) and the software itself.
type: software
authors:
- family-names: Vogt
given-names: Frédéric P.A.
- family-names: Foresti
given-names: Loris
- family-names: Regenass
given-names: Daniel
- family-names: Réthoré
given-names: Sophie
- family-names: Tarin Burriel
given-names: Néstor
title: ampycloud
identifiers:
- type: doi
value: 10.5281/zenodo.8399683
description: Zenodo entry
repository-code: 'https://github.com/MeteoSwiss/ampycloud/'
url: 'https://meteoswiss.github.io/ampycloud/'
license: BSD-3-Clause
preferred-citation:
title: "ampycloud: an open-source algorithm to determine cloud base heights and sky coverage fractions from ceilometer data"
abstract: |
Ceilometers are used routinely at aerodromes worldwide to derive the height and sky coverage fraction of cloud layers. This information, possibly combined with direct observations by human observers, contributes to the production of meteorological aerodrome reports (METARs). Here, we present ampycloud, a new algorithm, and its associated Python package for automatic processing of ceilometer data with the aim of determining the sky coverage fraction and base height of cloud layers above aerodromes. The ampycloud algorithm was developed at the Swiss Federal Office of Meteorology and Climatology (MeteoSwiss) as part of the AMAROC (AutoMETAR/AutoReport rOund the Clock) program to help in the fully automatic production of METARs at Swiss civil aerodromes. ampycloud is designed to work with no direct human supervision. The algorithm consists of three distinct, sequential steps that rely on agglomerative clustering methods and Gaussian mixture models to identify distinct cloud layers from individual cloud base hits reported by ceilometers. The robustness of the ampycloud algorithm stems from the first processing step, which is simple and reliable. It constrains the two subsequent processing steps that are more sensitive but also better suited to handling complex cloud distributions. The software implementation of the ampycloud algorithm takes the form of an eponymous, pip-installable Python package developed on GitHub and made publicly accessible.
type: article
journal: Atmospheric Measurement Techniques
issue: 16
languages:
- eng
pages: 4891-4914
volume: 17
url: https://amt.copernicus.org/articles/17/4891/2024/
authors:
- family-names: Vogt
given-names: Frédéric P. A.
- family-names: Foresti
given-names: Loris
- family-names: Regenass
given-names: Daniel
- family-names: Réthoré
given-names: Sophie
- family-names: Tarin Burriel
given-names: Néstor
- family-names: Bibby
given-names: Mervyn
- family-names: Juda
given-names: Przemysław
- family-names: Balmelli
given-names: Simone
- family-names: Hanselmann
given-names: Tobias
- family-names: du Preez
given-names: Pieter
- family-names: Furrer
given-names: Dirk
date-published: 2024-08-27
doi: 10.5194/amt-17-4891-2024