Signal Processing and Analysis Methodology Applied to Climatological Anomalies

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

Abstract

This paper addresses the processing and anomaly analysis of climatological data using filters and in time and frequency domain correlation. Nowadays, various organizations need to know the future behavior of certain phenomena in order to plan to prevent disasters. The E1 Nino-Southern Oscillation (ENSO) is a climatic phenomenon that has relationship with precipitation and temperature variability worldwide and is linked to droughts and flooding in some regions. In this work, Sea Surface Temperature (SST) in Equatorial Pacific Ocean and precipitation in the Santa River Basin are signals of climate origin which are processed and analyzed. The methodology includes Oceanic Nino Index (ONI) and precipitation data from Tropical Rainfall Measurement Missions (TRMM) satellite. The precipitation is filtered and denoised using Fourier Transform and Savitzky-Golay filter providing stationarity and anomaly of precipitation. The results demonstrate that the cutoff frequencies ω =0 and 1 represent the annual behavior of precipitation in Santa River Basin. In addition, Wavelet Analysis shows similar power patterns between Sea Surface Anomalies and precipitation with high correlation of around 3 and 6 years.

Original languageEnglish
Title of host publicationProceedings of the 37th Chinese Control Conference, CCC 2018
EditorsXin Chen, Qianchuan Zhao
PublisherIEEE Computer Society
Pages10345-10349
Number of pages5
ISBN (Electronic)9789881563941
DOIs
StatePublished - 5 Oct 2018
Event37th Chinese Control Conference, CCC 2018 - Wuhan, China
Duration: 25 Jul 201827 Jul 2018

Publication series

NameChinese Control Conference, CCC
Volume2018-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference37th Chinese Control Conference, CCC 2018
Country/TerritoryChina
CityWuhan
Period25/07/1827/07/18

Keywords

  • Cross Correlation
  • ENSO
  • Precipitation
  • Savitzky-Golay filter
  • Wavelet Analysis

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