Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography region
The Multimodel SuperEnsemble technique (KRISHNAMURTI et al., 2000a) is a new powerful post-processing method for the estimation of weather forecast parameters. Several model outputs are combined, using weights calculated during a training period. Piedmont region is characterised by complex mountaino...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Borntraeger
2006-04-01
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| Series: | Meteorologische Zeitschrift |
| Online Access: | http://dx.doi.org/10.1127/0941-2948/2006/0108 |
| _version_ | 1827355688307785728 |
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| author | Daniele Cane Massimo Milelli |
| author_facet | Daniele Cane Massimo Milelli |
| author_sort | Daniele Cane |
| collection | DOAJ |
| description | The Multimodel SuperEnsemble technique (KRISHNAMURTI et al., 2000a) is a new powerful post-processing method for the estimation of weather forecast parameters. Several model outputs are combined, using weights calculated during a training period. Piedmont region is characterised by complex mountainous orography and direct model outputs, even from high-resolution limited area models, show many strong systematic and random errors in the forecast, compared to the values observed by our high-density non-GTS network. This is one of the first applications of this technique in a narrow mountain area and combines both global and limited-area models. Our results show a good improvement of meteorological parameter forecasts such as temperature, humidity, wind speed and precipitation. |
| first_indexed | 2024-03-08T04:46:51Z |
| format | Article |
| id | doaj.art-78612146f3ab4ad2b76712d19e4ac70f |
| institution | Directory Open Access Journal |
| issn | 0941-2948 |
| language | English |
| last_indexed | 2024-03-08T04:46:51Z |
| publishDate | 2006-04-01 |
| publisher | Borntraeger |
| record_format | Article |
| series | Meteorologische Zeitschrift |
| spelling | doaj.art-78612146f3ab4ad2b76712d19e4ac70f2024-02-08T08:48:58ZengBorntraegerMeteorologische Zeitschrift0941-29482006-04-0115220721410.1127/0941-2948/2006/010854968Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography regionDaniele CaneMassimo MilelliThe Multimodel SuperEnsemble technique (KRISHNAMURTI et al., 2000a) is a new powerful post-processing method for the estimation of weather forecast parameters. Several model outputs are combined, using weights calculated during a training period. Piedmont region is characterised by complex mountainous orography and direct model outputs, even from high-resolution limited area models, show many strong systematic and random errors in the forecast, compared to the values observed by our high-density non-GTS network. This is one of the first applications of this technique in a narrow mountain area and combines both global and limited-area models. Our results show a good improvement of meteorological parameter forecasts such as temperature, humidity, wind speed and precipitation.http://dx.doi.org/10.1127/0941-2948/2006/0108 |
| spellingShingle | Daniele Cane Massimo Milelli Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography region Meteorologische Zeitschrift |
| title | Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography region |
| title_full | Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography region |
| title_fullStr | Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography region |
| title_full_unstemmed | Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography region |
| title_short | Weather forecasts obtained with a Multimodel SuperEnsemble technique in a complex orography region |
| title_sort | weather forecasts obtained with a multimodel superensemble technique in a complex orography region |
| url | http://dx.doi.org/10.1127/0941-2948/2006/0108 |
| work_keys_str_mv | AT danielecane weatherforecastsobtainedwithamultimodelsuperensembletechniqueinacomplexorographyregion AT massimomilelli weatherforecastsobtainedwithamultimodelsuperensembletechniqueinacomplexorographyregion |