In this paper we show the improvements of assimilating water vapour data into a LAM (Limited Area Model) for a case study of a meteorological event over Calabria, the southernmost tip of Italian peninsula, and we show how Lidar could contribute to give better results. The case study here presented is named "Soverato flood" and represents a prolonged and intense precipitation event. We will discuss this event using ECMWF analysis/forecast cycle as dynamical boundary conditions for RAMS (Regional Atmospheric Modeling System) integration. Two simulations are compared: first one is made using RAMS model without assimilation of water vapour data, the second starts from a RAMS pre-run that assimilates precipitable water data.
On the assimilation of water vapour measurements: a case study.
Avolio E;S Federico;T Lo Feudo;
2004
Abstract
In this paper we show the improvements of assimilating water vapour data into a LAM (Limited Area Model) for a case study of a meteorological event over Calabria, the southernmost tip of Italian peninsula, and we show how Lidar could contribute to give better results. The case study here presented is named "Soverato flood" and represents a prolonged and intense precipitation event. We will discuss this event using ECMWF analysis/forecast cycle as dynamical boundary conditions for RAMS (Regional Atmospheric Modeling System) integration. Two simulations are compared: first one is made using RAMS model without assimilation of water vapour data, the second starts from a RAMS pre-run that assimilates precipitable water data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
