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

Model code and software

AtmoSwing v2.1.0 Horton, Pascal

AtmoSwing R tools Horton, Pascal and Burkart, Kathrin

AtmoSwing Python tools Horton, Pascal

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.