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...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2010-03-01
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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. |
first_indexed | 2024-12-11T16:49:27Z |
format | Article |
id | doaj.art-08dd4c7492ac4875b7eb3681693f1bda |
institution | Directory Open Access Journal |
issn | 1680-7340 1680-7359 |
language | English |
last_indexed | 2024-12-11T16:49:27Z |
publishDate | 2010-03-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Advances in Geosciences |
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 |