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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Cited articles

Alessandrini, S., Delle Monache, L., Sperati, S., and Cervone, G.: An analog ensemble for short-term probabilistic solar power forecast, Appl. Energ., 157, 95–110, https://doi.org/10.1016/j.apenergy.2015.08.011, 2015a. a
Alessandrini, S., Delle Monache, L., Sperati, S., and Nissen, J. N.: A novel application of an analog ensemble for short-term wind power forecasting, Renew. Energ., 76, 768–781, https://doi.org/10.1016/j.renene.2014.11.061, 2015b. a
Barnston, A. G., van den Dool, H. M., Rodenhuis, D. R., Ropelewski, C. R., Kousky, V. E., O'Lenic, E. A., Livezey, R. E., Zebiak, S. E., Cane, M. A., Barnett, T. P., Graham, N. E., Ji, M., Leetmaa, A., Barnston, A. G., van den Dool, H. M., Zebiak, S. E., Barnett, T. P., Ji, M., Rodenhuis, D. R., Cane, M. A., Leetmaa, A., Graham, N. E., Ropelewski, C. R., Kousky, V. E., O'Lenic, E. A., and Livezey, R. E.: Long-Lead Seasonal Forecasts—Where Do We Stand?, B. Am. Meteorol. Soc., 75, 2097–2114, https://doi.org/10.1175/1520-0477(1994)075<2097:LLSFDW>2.0.CO;2, 1994. a
Ben Daoud, A.: Améliorations et développements d'une méthode de prévision probabiliste des pluies par analogie, PhD thesis, Université de Grenoble, France, 2010. a, b, c, d, e
Ben Daoud, A., Sauquet, E., Lang, M., Obled, C., and Bontron, G.: La prévision des précipitations par recherche d'analogues: état de l'art et perspectives, La Houille Blanche, 6, 60–65, https://doi.org/10.1051/lhb/2009079, 2009. a
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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.