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Observations of the atmospheric electric field preceding intense rainfall events in the Dolomite Alps near Cortina d’Ampezzo, Italy

Authors :
Martino Bernard
Carlo Gregoretti
Alessandro Simoni
S. Jeffrey Underwood
Matteo Berti
Bernard M., Underwood S.J., Berti M., Simoni A., Gregoretti C.
Source :
Meteorology and Atmospheric Physics. 132:99-111
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

Debris flow events, generated by surface runoff, occur with great frequency in the Dolomites (Northeastern Italian Alps) during the summer season. Summer thunderstorms, which are common in the region, can quickly generate runoff at the base of rocky cliffs, which then entrains and propagates downstream the underlying unconsolidated material. In the past, the main atmospheric feature considered in evaluating the initiation of debris flow events was rainfall. Observations led to the development of rainfall intensity–duration thresholds for sediment mobilization, which compared incoming severe rainfalls with the potential for triggering debris flows. This study works toward the examination of another characteristic of the atmosphere, the atmospheric electric field. In particular, the behavior of the electric field prior to convective rainfall is investigated as an indicator of rainfall intensities capable of triggering debris flows, in a basin near Cortina d’Ampezzo (Italy). Results suggest that prior to bursts of intense rainfall, the electric field derivative frequency distribution exhibits a recurrent pattern roughly half the time. When it occurs, the amplitude of derivative frequency distribution intersects the zero axis twice before rainfall reaches maximum intensity. A regression model is designed which considers the amplitude maximum and the difference in time between the crossings of the zero axis. The validation of this model suggests a mild relationship between electric field and rainfall intensity in an alpine environment.

Details

ISSN :
14365065 and 01777971
Volume :
132
Database :
OpenAIRE
Journal :
Meteorology and Atmospheric Physics
Accession number :
edsair.doi.dedup.....6e6e7542c6b664b499df266b4bd557b0
Full Text :
https://doi.org/10.1007/s00703-019-00677-6