Pattern Recognition Through Empirical Mode Decomposition for Temperature Time Series Between 1986 and 2019 in Mexico City Downtown for Global Warming Assessment

Mauricio Gabriel Orozco-del-Castillo, Jorge J. Hernández-Gómez, Gabriela Aurora Yañez-Casas, Mario Renán Moreno-Sabido, Carlos Couder-Castañeda, Isaac Medina, Raúl Novelo-Cruz, Mauro Alberto Enciso-Aguilar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Global warming is a real threat for the survival of life on Earth in the following 80 years. The effects of Global Warming are particularly harmful for inhabitants of very saturated urban settlements, which is the case of Mexico City. In this work, we analyse temperature time series from Mexico City Downtown, taken hourly between 1986 and 2019. The gaps in the time series were interpolated through the kriging method. Then, temporal tendencies and main frequencies were obtained through Empirical Mode Decomposition. The first frequency mode reveals a clear increasing tendency driven by Global Warming, which for 2019 was of 0.72 C above a 30-year baseline period mean between 1986 and 2016. Furthermore, the shorter periods identified in the first intrinsic mode functions are likely driven by the solar activity periods. It remains to find the origin of the smallest identified periods in the time series (<0.36 years).

Original languageEnglish
Title of host publicationTelematics and Computing - 8th International Congress, WITCOM 2019, Proceedings
EditorsMiguel Felix Mata-Rivera, Roberto Zagal-Flores, Cristian Barría-Huidobro
PublisherSpringer
Pages45-60
Number of pages16
ISBN (Print)9783030332280
DOIs
StatePublished - 1 Jan 2019
Event8th International Congress on Telematics and Computing, WITCOM 2019 - Merida, Mexico
Duration: 4 Nov 20198 Nov 2019

Publication series

NameCommunications in Computer and Information Science
Volume1053 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference8th International Congress on Telematics and Computing, WITCOM 2019
CountryMexico
CityMerida
Period4/11/198/11/19

Keywords

  • AI
  • Artificial Intelligence
  • Climate Change
  • EMD
  • Empirical Mode Decomposition
  • Global Warming
  • Mexico City
  • Pattern recognition
  • Temperature increase
  • Time series

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