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High-Resolution Lightning Detection and Possible Relationship with Rainfall Events over the Central Mediterranean Area

1
CNR IRPI Research Institute for Geo-Hydrological Protection, 10135 Torino, Italy
2
DiSTAR—Department of Earth Sciences, Environment and Resources, University of Naples Federico II, University Campus of Monte Sant’Angelo, 80126 Napoli, Italy
3
CESI S.p.A.—SIRF and Meteo Laboratory ISMES division, 20134 Milano, Italy
4
DISTAV Department of Earth, Environmental and Life Sciences, University of Genoa, 16132 Genova, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(13), 1601; https://doi.org/10.3390/rs11131601
Received: 30 April 2019 / Revised: 2 July 2019 / Accepted: 3 July 2019 / Published: 5 July 2019
(This article belongs to the Section Atmosphere Remote Sensing)
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Abstract

Lightning activity is usually associated with precipitations events and represents a possible indicator of climate change, even contributing to its increase with the production of NOx gases. The study of lightning activity on long temporal periods is crucial for fields related to atmospheric phenomena from intense rain-related hazard processes to long-term climate changes. This study focuses on 19 years of lightning-activity data, recorded from Italian Lightning Detection Network SIRF, part of the European network EUCLID (European Cooperation for Lightning Detection). Preliminary analysis was dedicated to the spatial and temporal assessment of lightning through detection in the Central Mediterranean area, focusing on yearly and monthly data. Temporal and spatial features have been analyzed, measuring clustering through the application of global Moran’s I statistics and spatial local autocorrelation; a Mann–Kendall trend test was performed on monthly series aggregating the original data on a 5 × 5 km cell. A local statistically significant trend emerged from the analysis, suggesting possible linkage between surface warming and lightning activity. View Full-Text
Keywords: lightning; clustering; flood; Mediterranean lightning; clustering; flood; Mediterranean
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Paliaga, G.; Donadio, C.; Bernardi, M.; Faccini, F. High-Resolution Lightning Detection and Possible Relationship with Rainfall Events over the Central Mediterranean Area. Remote Sens. 2019, 11, 1601.

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