The preconvective environments with potential orographic modification over the Western Carpathians during the severe convective storm events

0508682 - ÚFA 2020 DE eng A - Abstrakt
Kvak, Róbert - Zacharov, Petr, jr.
The preconvective environments with potential orographic modification over the Western Carpathians during the severe convective storm events.
EMS Annual Meeting Abstracts, Vol. 16. Berlin: European Meteorological Society, 2019.
[EMS Annual Meeting 2019. 09.09.2019-13.09.2019, Copenhagen]
Institucionální podpora: RVO:68378289
Klíčová slova: atmospheric convection * thunderstorms * convective storm forecasting * numerical weather prediction * COSMO model
Obor OECD: Meteorology and atmospheric sciences
https://meetingorganizer.copernicus.org/EMS2019/EMS2019-501.pdf

The issue of deep atmospheric convection is becoming more complicated over complex terrain especially within
mountains in mid-latitudes. A gap of knowledge exists inside interaction between convective storms occurrence
and convective environment. The aim of this outlook is qualitatively analyzing a bond between terrain – convective
environment – dynamics of thunderstorms, searching for cases, in which mountains can enhance the potential for
severe thunderstorms in their close proximity. The area of interest covers the geomorphological unit of the Western
Carpathians within the domain of Slovak weather radar network range (300 x 500 km). Digital elevation model is
described by the specific morphometric characteristics (e.g. altitude). The most severe convective storm events in
warm parts of the years 2010 – 2018, primarily since 2015, are studied. Multiple events are chosen thanks to lightning and radar detection networks, and complete observational reports (SHMI). Based on ERA-interim reanalysis
as initial and boundary conditions, basic fields of physical quantities (e.g. dew point) and convective indicators (e.g.
Bulk Richardson Number) are performed using numerical weather prediction model COSMO during the events.
COSMO is the non-hydrostatic compressible model with the 2.8 km grid-spacing and 50 atmospheric model levels
up to a height of 20 km. The products of simulations (starting time at 00 UTC) are compared with basic morphometric characteristics of the topography using DEM with appropriate spatial resolution. In addition to the convective
diagnostics variables the maximal vertical reflectivity is simulated to verify the COSMO‘s capability of forecasting
severe convection storm activity in a mountainous region.
Trvalý link: http://hdl.handle.net/11104/0299520