Can a Multimodel SuperEnsemble technique be used for precipitation forecasts?

The Multimodel SuperEnsemble technique is a postprocessing method for the estimation of weather forecast parameters reducing direct model output errors. It differs from other ensemble analysis techniques by the use of an adequate weighting of the input forecast models in order to obtain a combined e...

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Main Authors: D. Cane, M. Milelli
Format: Article
Language:English
Published: Copernicus Publications 2010-03-01
Series:Advances in Geosciences
Online Access:http://www.adv-geosci.net/25/17/2010/adgeo-25-17-2010.pdf
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author D. Cane
M. Milelli
author_facet D. Cane
M. Milelli
author_sort D. Cane
collection DOAJ
description The Multimodel SuperEnsemble technique is a postprocessing method for the estimation of weather forecast parameters reducing direct model output errors. It differs from other ensemble analysis techniques by the use of an adequate weighting of the input forecast models in order to obtain a combined estimation of meteorological parameters. Weights are calculated by least-square minimization of the differences between the model and the observed field during a so-called training period. <br><br> Although it can be applied successfully on continuous parameters like temperature, relative humidity, wind speed and mean sea level pressure, the Multimodel SuperEnsemble also gives good results when applied on the precipitation, a parameter quite difficult to handle with standard post-processing methods. Here we present a methodology for the Multimodel precipitation forecasts with a careful ensemble dressing via the precipitation PDF estimation.
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spelling doaj.art-08dd4c7492ac4875b7eb3681693f1bda2022-12-22T00:58:07ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592010-03-0125172210.5194/adgeo-25-17-2010Can a Multimodel SuperEnsemble technique be used for precipitation forecasts?D. Cane0M. Milelli1Regional Environmental Protection Agency – Arpa Piemonte, Torino, ItalyRegional Environmental Protection Agency – Arpa Piemonte, Torino, ItalyThe Multimodel SuperEnsemble technique is a postprocessing method for the estimation of weather forecast parameters reducing direct model output errors. It differs from other ensemble analysis techniques by the use of an adequate weighting of the input forecast models in order to obtain a combined estimation of meteorological parameters. Weights are calculated by least-square minimization of the differences between the model and the observed field during a so-called training period. <br><br> Although it can be applied successfully on continuous parameters like temperature, relative humidity, wind speed and mean sea level pressure, the Multimodel SuperEnsemble also gives good results when applied on the precipitation, a parameter quite difficult to handle with standard post-processing methods. Here we present a methodology for the Multimodel precipitation forecasts with a careful ensemble dressing via the precipitation PDF estimation.http://www.adv-geosci.net/25/17/2010/adgeo-25-17-2010.pdf
spellingShingle D. Cane
M. Milelli
Can a Multimodel SuperEnsemble technique be used for precipitation forecasts?
Advances in Geosciences
title Can a Multimodel SuperEnsemble technique be used for precipitation forecasts?
title_full Can a Multimodel SuperEnsemble technique be used for precipitation forecasts?
title_fullStr Can a Multimodel SuperEnsemble technique be used for precipitation forecasts?
title_full_unstemmed Can a Multimodel SuperEnsemble technique be used for precipitation forecasts?
title_short Can a Multimodel SuperEnsemble technique be used for precipitation forecasts?
title_sort can a multimodel superensemble technique be used for precipitation forecasts
url http://www.adv-geosci.net/25/17/2010/adgeo-25-17-2010.pdf
work_keys_str_mv AT dcane canamultimodelsuperensembletechniquebeusedforprecipitationforecasts
AT mmilelli canamultimodelsuperensembletechniquebeusedforprecipitationforecasts