Moisture fluxes conducive to central European extreme precipitation events

0536346 - ÚFA 2022 RIV NL eng J - Článek v odborném periodiku
Gvoždíková, B. - Müller, Miloslav
Moisture fluxes conducive to central European extreme precipitation events.
Atmospheric Research. Roč. 248, Jan 15 (2021), č. článku 105182. ISSN 0169-8095. E-ISSN 1873-2895
Grant CEP: GA ČR(CZ) GA19-05011S
Institucionální podpora: RVO:68378289
Klíčová slova: heavy precipitation * vb cyclones * august 2002 * floods * windstorms * transport * anomalies * episodes * example * weather * Moisture flux * Vertical velocity * Extreme precipitation * Central Europe
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 5.965, rok: 2021
Způsob publikování: Omezený přístup
https://www.sciencedirect.com/science/article/pii/S0169809520311182

For the emergence of central European extreme precipitation events (EPEs), moisture supply mainly from the Atlantic or Mediterranean and an ascent of moist air are the most important ingredients. In the present study, we aim to define groups of EPEs with characteristic moisture flux conditions in the area of extra high upward vertical velocity, as well as to find the connection between the variants of moisture flux conditions and the spatio-seasonal distribution of extreme precipitation. Using ERA5 reanalysis data, we assigned one of three moisture flux variants to the set of 43 EPEs from 1979 to 2013 and thus specified (i) events with dominating moisture flux from the north (Nf), (ii) events with dominating moisture flux from the west (Wf), and (iii) other low-flux events (Ot). The classification of EPEs corresponds perfectly with seasonal and spatial patterns of extreme precipitation: while Nf events were concentrated only in the warm half-year and affected mainly eastern central Europe, Wf events occurred in the west and exclusively from September to March. Mainly in the case of Nf events, a direct link existing between anomalies in moisture flux and precipitation extremes can be beneficial for improving skill in forecasting EPEs.
Trvalý link: http://hdl.handle.net/11104/0314124