KAUST researchers are studying ancient supervolcanoes, like the Toba eruption 75,000 years ago, to understand current and future climate conditions. Volcanic eruptions serve as natural experiments that push the climate system to its limits, helping scientists understand climate's physical mechanisms. Research shows that volcanic eruptions delayed global warming by about 30% starting from 1850. Why it matters: Understanding the impact of volcanic activity on climate change can improve predictions of future global warming, particularly in regions like the Middle East which are strongly affected by volcanic events.
A KAUST-led study analyzing over 100 years of satellite data indicates that Red Sea surface temperatures may be cooling rather than rising due to the Atlantic Multidecadal Oscillation (AMO). The research, utilizing KAUST's supercomputer Shaheen II, suggests a cooling phase in the coming decades that could temporarily counter global warming effects. The team collaborated with researchers from the University of Athens and the Hellenic Centre for Marine Research, using data from NOAA, NASA, and the UK Met Office. Why it matters: The finding challenges assumptions about uniform warming trends and highlights the role of natural climate oscillations in modulating regional temperature changes, informing more accurate climate modeling and adaptation strategies for the region.
KAUST's Atmospheric and Climate Modeling group, led by Georgiy Stenchikov, is using high-resolution global and regional climate models to predict climate change in the Middle East, focusing on local atmospheric and oceanic processes. The group developed coupled regional atmospheric and oceanic models for the Red Sea, accounting for the climate effect of aerosols, especially dust, which is significant in the region. They found that dust strongly affects the Red Sea, causing high optical depth and solar cooling effect, particularly in the southern part, impacting energy balance and circulation. Why it matters: Improving regional climate models with specific attention to dust and aerosols is crucial for predicting and mitigating the environmental impacts of climate change in arid regions like the Middle East.
A KAUST-led international team has published research detailing the potential of marine-based solutions to combat climate change. The study assesses the effectiveness of 13 ocean-based measures, including reducing greenhouse gas concentrations and protecting marine ecosystems. The research will inform decision-makers at COP24. Why it matters: Highlighting the potential of ocean-based solutions can broaden the scope of climate action strategies in the region, where coastal environments and marine resources are vital.
Saudi Arabia's Minister of Environment, Water and Agriculture inaugurated the Climate Change Center at KAUST. The center will serve as a resource for policymakers, providing climate information and supporting initiatives to mitigate climate change effects. It aligns with Vision 2030 and the Middle East Green Initiative. Why it matters: The center signifies Saudi Arabia's commitment to environmental sustainability and its role in regional and global climate action, potentially fostering AI applications for climate modeling and mitigation.
MBZUAI's Qirong Ho and colleagues are developing an Artificial Intelligence Operating System (AIOS) for decarbonization, aiming to reduce energy waste in AI development. The AIOS focuses on improving communication efficiency between machines during AI model training, as inefficient communication leads to prolonged tasks and increased energy consumption. This system addresses the high computing power demands of large language models like ChatGPT and LLaMA-2. Why it matters: By optimizing energy usage in AI development, the AIOS could significantly reduce the carbon footprint of AI technologies in the region and globally.
MBZUAI is developing AI-powered applications to help reduce malaria's impact in Indonesia, supported by Sheikh Mohamed bin Zayed Al Nahyan's Reaching the Last Mile initiative. The applications use sensory data fusion to create "digital twins" for precise weather forecasting and real-time environmental representation. AI and clustering analysis identify recurring features contributing to malaria outbreaks, enabling preventative measures and early treatment. Why it matters: This project demonstrates AI's potential in combating climate-sensitive diseases and improving public health in vulnerable regions.
Carlos Duarte, a professor of Marine Science at KAUST, discusses climate change adaptation and mitigation. He was interviewed outside the KAUST Museum of Science and Technology. The interview is part of a Frontiers Research Topic on Climate Change Adaptation and Mitigation. Why it matters: This highlights KAUST's focus on addressing climate change through scientific research and its engagement with international platforms like Frontiers.