@InProceedings{CamposCummPint:2015:NeAlMe,
author = "Campos, Leandro Zanella de Souza and Cummins, K. and Pinto Junior,
Osmar",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University
of Arizona} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "A new algorithmic method to identify ground strike points from
individual return stroke data provided by Lightning Location
Systems",
year = "2015",
organization = "IUGG General Assembly, 26.",
abstract = "A new algorithm, provisionally named groupGCP, developed aiming at
grouping individual return strokes detected by Lightning Location
Systems (LLS) into ground strike points (GCP), is presented. The
criteria for grouping decision and determination of centroid
(ground strike point) positions are based on the k-means
clustering method. However, the exact metric to be considered for
both criteria can be chosen by the user, allowing the use of error
ellipse scaling equations instead of Euclidean distances when
location error information is available. The algorithm was created
in such a way that it is capable of determining the number of
strike points (k value) numerically according to a maximum
distance also defined by the user which, in turn, depends on the
location accuracy of the LLS. Maps of the number of GCPs per flash
can be generated from long-term databases of lightning occurrence,
allowing not only its use for scientific studies but also for
applications in hazard mitigation and lightning protection
techniques. Some examples are presented and discussed.",
conference-location = "Prague, Czech Republic",
conference-year = "22 June - 02 July",
urlaccessdate = "19 abr. 2024"
}