Exploring the Impact of El Niño–Southern Oscillation (ENSO) on Temperature Distribution Using Remote Sensing: A Case Study in Kuching City

Ricky Anak Kemarau and Oliver Valentine Eboy (2023) Exploring the Impact of El Niño–Southern Oscillation (ENSO) on Temperature Distribution Using Remote Sensing: A Case Study in Kuching City. Applied sciences, 13. pp. 1-28.

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URL: https://www.mdpi.com/2076-3417/13/15/8861

Abstract

Malaysia’s location in Southeast Asia exposes it to various weather patterns influenced by El Niño–Southern Oscillation (ENSO), monsoons, the Madden–Julian Oscillation (MJO), and the Indian Ocean Dipole (IOD). To overcome the limitations of previous studies due to insufficient spatial information, this study utilizes remote sensing (RS) data from Landsat and MODIS satellites, along with the Oceanic Niño Index (ONI), to analyze the spatial distribution of temperature affected by El Niño–Southern Oscillation (ENSO). This study employs radiometric and atmospheric corrections on remote sensing (RS) data, converting them to surface temperature data. Our analysis reveals a correlation coefficient of 0.73 (MODIS) and 0.71 (Landsat) between the ONI and RS temperature data. During El Niño events, Landsat recorded temperature increases of 0–1.6 ◦C, while MODIS showed increases of 2.2–2.8 ◦C. The spatial information obtained assists in identifying affected areas and facilitating the implementation of mitigation measures by the government. By utilizing RS data, this research enhances our understanding of the ENSO–temperature relationship, surpassing previous limitations and providing valuable insights into climate dynamics.

Item Type:	Article
Keyword:	ENSO; remote sensing; temperature distribution
Subjects:	Q Science > QC Physics > QC1-999 Physics > QC1-75 General Q Science > QC Physics > QC1-999 Physics > QC851-999 Meteorology. Climatology Including the earth's atmosphere
Department:	FACULTY > Faculty of Social Sciences and Humanities
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	22 Nov 2023 11:33
Last Modified:	22 Nov 2023 11:33
URI:	https://eprints.ums.edu.my/id/eprint/37617

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