Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 12, issue 7
Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-2915-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-2915-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 7
Model description paper
 | 
12 Jul 2019
Model description paper |  | 12 Jul 2019

AtmoSwing: Analog Technique Model for Statistical Weather forecastING and downscalING (v2.1.0)

Pascal Horton

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Latest update: 20 Nov 2024
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Short summary
Analog methods rely on the principle that similar atmospheric situations are likely to result in a similar local effect, such as precipitation. By using archives of measured atmospheric parameters and observed precipitation, one can establish a probabilistic forecast, for example, of the precipitation for a chosen target day. Analog methods require low computing capacity and have demonstrated useful potential for application in both operational forecasting and the context of climate studies.
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