Results 11 to 20 of about 3,012,816 (257)
Remote Sensing, 2022 Typical features of lightning distribution in the mountain area of Mt. Cimone (2165 m a.s.l., Northern-Central Italy) have been studied through detections provided by the ground-based LIghtning NETwork data (LINET) and the Lightning Imaging Sensor (LIS ...
Alessandra Tiberia +7 more
doaj +1 more source
Evaluation of Lightning Impulse Test by Frequency Response Analysis [PDF]
, 2006 In this work are presented the basis for improving the interpretation of transformer lightning impulse test and the development of a graphical user interface system, which allows comparisons of time domain data and frequency response.
Jorge Ramirez +3 more
core +3 more sources
Spider Lightning Characterization: Integrating Optical, NLDN, and GLM Detection
Atmosphere, 2023 Here, we investigate the characteristics of spider lightning analyzing individual lightning flashes as well as the overall electric storm system. From July to November 2022, optical camera systems captured the visually spectacular spider lightning in ...
Gilbert Green, Naomi Watanabe
doaj +1 more source
Lightning-AI/lightning-flash: Minor compatibility patch
, 2022 What's Changed Add CLIP backbones for text / image classification by @ethanwharris in https://github.com/Lightning-AI/lightning-flash/pull/1458 Replace DP/DDP/DDPSpawn plugins to strategies, keep the old for compatibility by @krshrimali in https ...
Aniket Maurya +26 more
core +1 more source
Remote Sensing, 2021 This study investigates the characteristics of space-borne Lightning Mapping Imager (LMI) lightning products and their relationships with cloud properties using ground-based total lightning observations from the Beijing Broadband Lightning Network (BLNET)
Zhixiong Chen +6 more
doaj +1 more source
Lightning-AI/lightning-bolts: Minor patch release
, 2022 What's Changed resolve require collisions by @Borda in https://github.com/Lightning-AI/lightning-bolts/pull/938 Metrics by @BaruchG in https://github.com/Lightning-AI/lightning-bolts/pull/892 Full Changelog: https://github.com/Lightning-AI/lightning ...
Ananya Harsh Jha +26 more
core +1 more source
Insights into ground strike point properties in Europe through the EUCLID lightning location system [PDF]
Natural Hazards and Earth System SciencesEvaluating the risk of lightning strikes to a particular structure typically involves adhering to the guidance outlined in IEC 62305-2. Among the multitude of factors influencing the overall risk, flash density emerges as a crucial parameter.
D. R. Poelman, H. Kohlmann, W. Schulz
doaj +1 more source
Smart CMOS image sensor for lightning detection and imaging [PDF]
, 2013 We present a CMOS image sensor dedicated to lightning detection and imaging. The detector has been designed to evaluate the potentiality of an on-chip lightning detection solution based on a smart sensor.
Goiffon, Vincent +12 more
core +1 more source
Evaluating EUCLID location accuracy using lightning events near tall structures [PDF]
Atmospheric Measurement TechniquesThis study evaluates the location accuracy (LA) of the European Cooperation for Lightning Detection (EUCLID) network by analysing lightning events recorded near tall structures located either on flat ground or on elevated terrain, such as mountain ridges,
D. R. Poelman, H. Kohlmann, W. Schulz
doaj +1 more source
On the classification of self-triggered versus other-triggered lightning flashes [PDF]
, 2018 We present in this paper lightning current measurements and LMA (Lightning Mapping Array) data associated with upward flashes observed at the Sàntis Tower during Summer 2017.
Sunjerga, A. +27 more
core +1 more source