Open AccessTopological Data Analysis applications in Meteorology
Author(s) -
Caio Átila Pereira Sena
Publication year - 2021
Language(s) - English
DOI - 10.54026/esecr/1024
Subject(s) - topological data analysis , variety (cybernetics) , context (archaeology) , data science , data analysis , computer science , subject (documents) , topology (electrical circuits) , geography , data mining , engineering , world wide web , artificial intelligence , algorithm , archaeology , electrical engineering
Meteorology is currently built on a variety of measurements from several sources. The means to gain insight over the amount of available data are subject to intrinsic characteristics of the data. In this context, Topological Data Analysis (TDA) tools offer the possibility to overcome those limitations and harness a huge amount of data. Due to its roots in Group Theory, TDA can be intimidating and is yet underexplored in Meteorology. The current review aims to prospect some of TDA’s capabilities in Atmospheric Sciences and provide insights on possible applications.