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Physical Science and Engineering (PSE) Division

At PSE, we are dedicated to driving innovation and advancing research to address global challenges in green energy, new materials, climate change, and the environment.

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We offer an inspiring academic environment where students learn from global experts, participate in cutting-edge research, and gain the skills needed to address global challenges in energy, environmental science, and materials sciences. 

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The PSE Division leads transformative research across the four RDI Pillars. With world-class faculty and facilities, we drive the discoveries that are shaping a more sustainable and innovative future.

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Latest news

Past and future drought patterns across the Arabian Peninsula

11 November, 2024

Higher temperatures have increased drought frequency and intensity over the last two decades, but the trend could be reversed in the next 20 years.

A study of 70 years of climate data has examined distinct drought patterns across the Arabian Peninsula — one of the driest regions in the world. Led by KAUST’s Ibrahim Hoteit, the team analysed climate data from 1951 to 2020 to map the long-term variability of droughts and explore the factors driving these changes. “Understanding historic and future drought trends in the Arabian Peninsula is crucial for water resource management in agriculture and urban development,” says Hoteit.

The researchers used the Standardized Precipitation Evapotranspiration Index (SPEI), which considers both rainfall and temperature data. “Droughts are typically measured using the Standardized Precipitation Index (SPI), but in arid regions like the Arabian Peninsula, relying on rainfall alone is insufficient,” says climate change researcher and study author Md Saquib Saharwardi.

The study outlines four distinct drought regions across the Arabian Peninsula, each exhibiting unique seasonal drought variability. However, the KAUST team found that, overall, droughts have worsened over the past two decades, not because of a decrease in rainfall, but rather due to rising temperatures.

To predict future droughts, Hoteit and colleagues developed a machine learning approach that considers the Atlantic Multidecadal Oscillation (AMO), a 70-year cyclical phenomenon of the Atlantic’s sea surface temperature that significantly affects the region’s climate. Interestingly, their model predicts a decrease in drought severity as the AMO shifts from a positive to a negative phase.

“During the positive phase of the AMO, droughts tend to worsen, while the negative phase leads to a reduction in droughts,” Saharwardi explains. “Our machine learning model predicts a substantial decrease in droughts over the next 20 to 30 years, coinciding with the expected negative phase of the AMO.”

Learn more at KAUST Discovery.

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