MODELING FUTURE RAINFALL DATA AT SHAHAT METEOROLOGICAL STATION AND MONITORING ITS CHANGE FOR THE PERIOD (1961-2099) USING SDSM

Authors

  • Asmahan Ali Othman University of Zawia Libya College of Arts, Department of Geography
  • Ameera Ali Othman The Higher Institute of Science and Technology in Zawia Libya Department of Electrical and Electronic Engineering
  • Eman Ali Othman University of Zawia Libya College of Arts, Department of English

Keywords:

Climate change; rainfall; climate model; climate scenarios; statistical miniaturization; SDSM

Abstract

This research aims to predict future rainfall rates for the period (2010-2099). Depending on the daily rainfall rates of the Shahat Meteorological Station for the base period (1961-1990) using the ((Statistical Downscaling Model (SDSM)) technique, based on climate change scenarios (A2a) (B2a); these are scenarios approved by the IPCC Climate Change Team in a report It was known as SRES in the year 2000 to develop climate and environment forecasts based on greenhouse gases, to detect the direction and amount of change in rainfall rates for future periods, namely: (2010-2039), (2040-2069), (2070-2099), compared to the base period. (1961 - 1990). The results showed trends towards a decrease in rainfall rates at Shahat Station, compared to the base period with future periods, especially in the period (2010-2039), and also showed that there is a change in the amounts of rainfall at the seasonal level.

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Published

15-03-2024

How to Cite

Asmahan Ali Othman, Ameera Ali Othman, & Eman Ali Othman. (2024). MODELING FUTURE RAINFALL DATA AT SHAHAT METEOROLOGICAL STATION AND MONITORING ITS CHANGE FOR THE PERIOD (1961-2099) USING SDSM. Malaysian Journal of Industrial Technology , 8(1), 78-88. https://ejournal.unikl.edu.my/index.php/mjit/article/view/649