Articles | Volume 12, issue 7
Geosci. Model Dev., 12, 2915–2940, 2019
https://doi.org/10.5194/gmd-12-2915-2019
Geosci. Model Dev., 12, 2915–2940, 2019
https://doi.org/10.5194/gmd-12-2915-2019

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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Pascal Horton on behalf of the Authors (04 Jun 2019)  Author's response    Manuscript
ED: Publish as is (17 Jun 2019) by Samuel Remy
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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.