Effects of the Representation of Convection on the Modelling of Hurricane Tomas (2010)

Abstract

The cumulus parameterization is widely recognised as a crucial factor in tropical meteorology: this paper intends to shed further light on the effects of convection parameterization on tropical cyclones’ numerical predictions in the “grey zone” (10–1 km grid spacing). Ten experiments are devised by combining five different convection treatments over the innermost, 5 km grid spacing, domain, and two different global circulation model datasets (IFS and ERA-Interim). All ten experiments are finally analysed and compared to observations provided by the National Hurricane Center’s best track record and multisatellite rainfall measurements. Results manifestly point to the superiority of employing no convective parameterization at the scale of 5 km versus the usage of any of those provided by WRF to reproduce the case study of Hurricane Tomas, which hit the Lesser Antilles and Greater Antilles in late October and early November 2010.

A hindcast study of the Piedmont 1994 flood: the CIMA Research Foundation hydro-meteorological forecasting chain

“…It features multiple dynamical cores, a three-dimensional variational data assimilation system (3DVAR), and a software architecture allowing for computational parallelism and system extensibility. WRF is suitable for a broad spectrum of applications across scales ranging from metres to thousands of kilometres, and has been used by the authors for hydro-meteorological research applications in tropical and subtropical areas (Parodi and Tanelli 2010;Viterbo et al 2016;Marras et al 2017), and for mid-latitude severe weather studies (Parodi et al 2012;Fiori et al 2014;Viterbo et al 2016;Fiori et al 2017;Lagasio et al 2017;Lagasio et al 2019a;Lagasio et al 2019b;Lagasio et al 2019c;Parodi et al 2019;Silvestro et al 2019;Meroni et al 2018b).…”

The predictive capacity of the high resolution weather research and forecasting model: a year-long verification over Italy

“…CIMA Research Foundation (CIMA, hereafter) has a significant experience in using the WRF model for hydro-meteorological research applications in tropical and subtropical areas (Parodi and Tanelli 2010;Marras et al 2017;Viterbo et al 2016), and for mid-latitude severe weather studies (Parodi et al 2012;Fiori et al 2014;Viterbo et al 2016;Fiori et al 2017;Lagasio et al 2017;Parodi et al 2019;Silvestro et al 2019;Meroni et al 2018). Recently, a solid know-how on Data Assimilation (DA) simulations for high impact weather events has been developed, as well.…”