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

doi:10.1007/978-3-030-33229-7_5

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 proceeding › Conference contribution › peer-review

3 Scopus citations

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 language	English
Title of host publication	Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings
Editors	Miguel Felix Mata-Rivera, Roberto Zagal-Flores, Cristian Barría-Huidobro
Publisher	Springer
Pages	45-60
Number of pages	16
ISBN (Print)	9783030332280
DOIs	https://doi.org/10.1007/978-3-030-33229-7_5
State	Published - 2019
Event	8th International Congress on Telematics and Computing, WITCOM 2019 - Merida, Mexico Duration: 4 Nov 2019 → 8 Nov 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1053 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	8th International Congress on Telematics and Computing, WITCOM 2019
Country/Territory	Mexico
City	Merida
Period	4/11/19 → 8/11/19

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-33229-7_5

Cite this

Orozco-del-Castillo, M. G., Hernández-Gómez, J. J., Yañez-Casas, G. A., Moreno-Sabido, M. R., Couder-Castañeda, C., Medina, I., Novelo-Cruz, R., & Enciso-Aguilar, M. A. (2019). Pattern Recognition Through Empirical Mode Decomposition for Temperature Time Series Between 1986 and 2019 in Mexico City Downtown for Global Warming Assessment. In M. F. Mata-Rivera, R. Zagal-Flores, & C. Barría-Huidobro (Eds.), Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings (pp. 45-60). (Communications in Computer and Information Science; Vol. 1053 CCIS). Springer. https://doi.org/10.1007/978-3-030-33229-7_5

Orozco-del-Castillo, Mauricio Gabriel ; Hernández-Gómez, Jorge J. ; Yañez-Casas, Gabriela Aurora et al. / Pattern Recognition Through Empirical Mode Decomposition for Temperature Time Series Between 1986 and 2019 in Mexico City Downtown for Global Warming Assessment. Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings. editor / Miguel Felix Mata-Rivera ; Roberto Zagal-Flores ; Cristian Barría-Huidobro. Springer, 2019. pp. 45-60 (Communications in Computer and Information Science).

@inproceedings{c1fcea7118fa436dbdfe66a784a79612,

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

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).",

keywords = "AI, Artificial Intelligence, Climate Change, EMD, Empirical Mode Decomposition, Global Warming, Mexico City, Pattern recognition, Temperature increase, Time series",

author = "Orozco-del-Castillo, {Mauricio Gabriel} and Hern{\'a}ndez-G{\'o}mez, {Jorge J.} and Ya{\~n}ez-Casas, {Gabriela Aurora} and Moreno-Sabido, {Mario Ren{\'a}n} and Carlos Couder-Casta{\~n}eda and Isaac Medina and Ra{\'u}l Novelo-Cruz and Enciso-Aguilar, {Mauro Alberto}",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 8th International Congress on Telematics and Computing, WITCOM 2019 ; Conference date: 04-11-2019 Through 08-11-2019",

year = "2019",

doi = "10.1007/978-3-030-33229-7_5",

language = "Ingl{\'e}s",

isbn = "9783030332280",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "45--60",

editor = "Mata-Rivera, {Miguel Felix} and Roberto Zagal-Flores and Cristian Barr{\'i}a-Huidobro",

booktitle = "Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings",

}

Orozco-del-Castillo, MG, Hernández-Gómez, JJ, Yañez-Casas, GA, Moreno-Sabido, MR, Couder-Castañeda, C , Medina, I, Novelo-Cruz, R & Enciso-Aguilar, MA 2019, Pattern Recognition Through Empirical Mode Decomposition for Temperature Time Series Between 1986 and 2019 in Mexico City Downtown for Global Warming Assessment. in MF Mata-Rivera, R Zagal-Flores & C Barría-Huidobro (eds), Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings. Communications in Computer and Information Science, vol. 1053 CCIS, Springer, pp. 45-60, 8th International Congress on Telematics and Computing, WITCOM 2019, Merida, Mexico, 4/11/19. https://doi.org/10.1007/978-3-030-33229-7_5

Pattern Recognition Through Empirical Mode Decomposition for Temperature Time Series Between 1986 and 2019 in Mexico City Downtown for Global Warming Assessment. / Orozco-del-Castillo, Mauricio Gabriel; Hernández-Gómez, Jorge J.; Yañez-Casas, Gabriela Aurora et al.
Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings. ed. / Miguel Felix Mata-Rivera; Roberto Zagal-Flores; Cristian Barría-Huidobro. Springer, 2019. p. 45-60 (Communications in Computer and Information Science; Vol. 1053 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Pattern Recognition Through Empirical Mode Decomposition for Temperature Time Series Between 1986 and 2019 in Mexico City Downtown for Global Warming Assessment

AU - Orozco-del-Castillo, Mauricio Gabriel

AU - Hernández-Gómez, Jorge J.

AU - Yañez-Casas, Gabriela Aurora

AU - Moreno-Sabido, Mario Renán

AU - Couder-Castañeda, Carlos

AU - Medina, Isaac

AU - Novelo-Cruz, Raúl

AU - Enciso-Aguilar, Mauro Alberto

PY - 2019

Y1 - 2019

N2 - 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).

AB - 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).

KW - AI

KW - Artificial Intelligence

KW - Climate Change

KW - EMD

KW - Empirical Mode Decomposition

KW - Global Warming

KW - Mexico City

KW - Pattern recognition

KW - Temperature increase

KW - Time series

UR - http://www.scopus.com/inward/record.url?scp=85076178587&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-33229-7_5

DO - 10.1007/978-3-030-33229-7_5

M3 - Contribución a la conferencia

AN - SCOPUS:85076178587

SN - 9783030332280

T3 - Communications in Computer and Information Science

SP - 45

EP - 60

BT - Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings

A2 - Mata-Rivera, Miguel Felix

A2 - Zagal-Flores, Roberto

A2 - Barría-Huidobro, Cristian

PB - Springer

T2 - 8th International Congress on Telematics and Computing, WITCOM 2019

Y2 - 4 November 2019 through 8 November 2019

ER -

Orozco-del-Castillo MG, Hernández-Gómez JJ, Yañez-Casas GA, Moreno-Sabido MR, Couder-Castañeda C , Medina I et al. Pattern Recognition Through Empirical Mode Decomposition for Temperature Time Series Between 1986 and 2019 in Mexico City Downtown for Global Warming Assessment. In Mata-Rivera MF, Zagal-Flores R, Barría-Huidobro C, editors, Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings. Springer. 2019. p. 45-60. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-33229-7_5

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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this