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 a possible linkage between surface warming and lightning activity.

High-resolution lightning detection and possible relationship with rainfall events over the Central Mediterranean area / G., Paliaga; Donadio, C.; M., Bernardi; F., Faccini. - In: REMOTE SENSING. - ISSN 2072-4292. - 11:13(2019), pp. 1-20. [10.3390/rs11131601]

High-resolution lightning detection and possible relationship with rainfall events over the Central Mediterranean area

C. Donadio
Supervision
;
2019

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 a possible linkage between surface warming and lightning activity.
2019
High-resolution lightning detection and possible relationship with rainfall events over the Central Mediterranean area / G., Paliaga; Donadio, C.; M., Bernardi; F., Faccini. - In: REMOTE SENSING. - ISSN 2072-4292. - 11:13(2019), pp. 1-20. [10.3390/rs11131601]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/755987
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