Publication

Performance of Density-based Clustering using MTG-LI Data for Short-Term Lightning Forecasting

2026

Abstract

Lightning nowcasting is a key component of severe weather forecasting. This study demonstrates that density-based clustering algorithms, applied to lightning flash position and time data from the new Meteosat MTG-LI instrument monitoring lightning activity over Europe, offer an effective and interpretable basis for short-term lightning forecasting. We evaluate clustering algorithms such as DBSCAN and HDBSCAN and analyze the impact of parameter selection and flash density on their performance. Our results indicate that density-based clustering alone can reliably identify regions of increased lightning activity.

Official source

https://infoscience.epfl.ch/entities/publication/57082214-2cbf-4bed-b7a1-d8e82d90b250

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2026

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/57082214-2cbf-4bed-b7a1-d8e82d90b250

About this result

Related concepts (32)

Cluster analysis

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistical data analysis, used in many fields, including pattern recognition, , information retrieval, bioinformatics, data compression, computer graphics and machine learning.

Weather forecasting

Weather forecasting is the application of science and technology to predict the conditions of the atmosphere for a given location and time. People have attempted to predict the weather informally for millennia and formally since the 19th century. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere, land, and ocean and using meteorology to project how the atmosphere will change at a given place.

Convective storm detection

Convective storm detection is the meteorological observation, and short-term prediction, of deep moist convection (DMC). DMC describes atmospheric conditions producing single or clusters of large vertical extension clouds ranging from cumulus congestus to cumulonimbus, the latter producing thunderstorms associated with lightning and thunder. Those two types of clouds can produce severe weather at the surface and aloft.

Related publications (28)

Performance of Density-based Clustering using MTG-LI Data for Short-Term Lightning Forecasting

Chat with Graph Search

Euclid preparation: LXXXIV. The flat-sky approximation for the clustering of Euclids photometric galaxies

A Mixed Poisson Approach to Account for Ground Flash Density Variability in Transmission Line Lightning Performance Analysis

Braided Rivers as Morphological States: A Data-Driven Identification of Recurrent Planform Configurations