Simulations of deep convection in the Mediterranean area using 3DVAR of conventional and non-conventional data

In autumn deep convection in the Mediterranean region is a common phenomenon. The local events characterized by deep convection are still a difficult task even for high resolution numerical weather prediction. Three flood cases, produced by convection either embedded in a large scale system or local...

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Main Authors: R. Ferretti, C. Faccani, D. Cimini, F. S. Marzano, A. Memmo, L. Cucurull, R. Pacione
Format: Article
Language:English
Published: Copernicus Publications 2005-01-01
Series:Advances in Geosciences
Online Access:http://www.adv-geosci.net/2/65/2005/adgeo-2-65-2005.pdf
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author R. Ferretti
R. Ferretti
C. Faccani
D. Cimini
F. S. Marzano
F. S. Marzano
A. Memmo
L. Cucurull
R. Pacione
author_facet R. Ferretti
R. Ferretti
C. Faccani
D. Cimini
F. S. Marzano
F. S. Marzano
A. Memmo
L. Cucurull
R. Pacione
author_sort R. Ferretti
collection DOAJ
description In autumn deep convection in the Mediterranean region is a common phenomenon. The local events characterized by deep convection are still a difficult task even for high resolution numerical weather prediction. Three flood cases, produced by convection either embedded in a large scale system or locally developed, occurring in Italy, are presented. All these case were not correctly forecasted: Sardinia (Cagliari, 13 November 1999); Calabria (Soverato, 7 September 2000) and Sicily (Catania, 16 September 2003). The first case occurred during the Mesoscale Alpine Programme (MAP) campaign, therefore a lot of data are available; for the second one only data from SSM/I and local rain-gauge are available; the third one occurred during the operational experimentation of the TOUGH project. The last one was not well predicted even using the operational assimilation of ground based GPS. To improve the forecast of these cases the assimilation of several data is tested. The variational assimilation performed using 3DVAR of GPS, SSM/I and surface and upper air data is applied to improve the Initial Conditions of the Sicily case. The Sardinia case is improved using either GPS and surface data, whereas for the Soverato case only ZTD is assimilated. The experiments are performed using the MM5 model from Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR); the model is initialized using the new Initial Conditions produced by the variational assimilation of conventional and non conventional data. The results show that the assimilation of the retrieved quantities does produces large improvement in the precipitation forecast. Large sensitivity to the assimilation of surface data and brightness temperature from SSM/I is found.
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spelling doaj.art-6325b17dc7dc479f9b725029364c0c122022-12-21T19:53:08ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592005-01-0126571Simulations of deep convection in the Mediterranean area using 3DVAR of conventional and non-conventional dataR. FerrettiR. FerrettiC. FaccaniD. CiminiF. S. MarzanoF. S. MarzanoA. MemmoL. CucurullR. PacioneIn autumn deep convection in the Mediterranean region is a common phenomenon. The local events characterized by deep convection are still a difficult task even for high resolution numerical weather prediction. Three flood cases, produced by convection either embedded in a large scale system or locally developed, occurring in Italy, are presented. All these case were not correctly forecasted: Sardinia (Cagliari, 13 November 1999); Calabria (Soverato, 7 September 2000) and Sicily (Catania, 16 September 2003). The first case occurred during the Mesoscale Alpine Programme (MAP) campaign, therefore a lot of data are available; for the second one only data from SSM/I and local rain-gauge are available; the third one occurred during the operational experimentation of the TOUGH project. The last one was not well predicted even using the operational assimilation of ground based GPS. To improve the forecast of these cases the assimilation of several data is tested. The variational assimilation performed using 3DVAR of GPS, SSM/I and surface and upper air data is applied to improve the Initial Conditions of the Sicily case. The Sardinia case is improved using either GPS and surface data, whereas for the Soverato case only ZTD is assimilated. The experiments are performed using the MM5 model from Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR); the model is initialized using the new Initial Conditions produced by the variational assimilation of conventional and non conventional data. The results show that the assimilation of the retrieved quantities does produces large improvement in the precipitation forecast. Large sensitivity to the assimilation of surface data and brightness temperature from SSM/I is found.http://www.adv-geosci.net/2/65/2005/adgeo-2-65-2005.pdf
spellingShingle R. Ferretti
R. Ferretti
C. Faccani
D. Cimini
F. S. Marzano
F. S. Marzano
A. Memmo
L. Cucurull
R. Pacione
Simulations of deep convection in the Mediterranean area using 3DVAR of conventional and non-conventional data
Advances in Geosciences
title Simulations of deep convection in the Mediterranean area using 3DVAR of conventional and non-conventional data
title_full Simulations of deep convection in the Mediterranean area using 3DVAR of conventional and non-conventional data
title_fullStr Simulations of deep convection in the Mediterranean area using 3DVAR of conventional and non-conventional data
title_full_unstemmed Simulations of deep convection in the Mediterranean area using 3DVAR of conventional and non-conventional data
title_short Simulations of deep convection in the Mediterranean area using 3DVAR of conventional and non-conventional data
title_sort simulations of deep convection in the mediterranean area using 3dvar of conventional and non conventional data
url http://www.adv-geosci.net/2/65/2005/adgeo-2-65-2005.pdf
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