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.
IBM and MBZUAI have partnered to create an AI Center of Excellence, with the goal of driving sustainability in the region. The center will use AI to monitor, model, and visualize climate change, providing decision-makers with data to address issues like the urban heat island effect. Dr. Fahad Khan, Dr. Salman Khan, and Dr. Levente Klein from MBZUAI are leading the research. Why it matters: This collaboration highlights the UAE's commitment to using AI to tackle critical climate challenges and supports the upcoming COP28 in Dubai.
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.
Marilyn Brown from Georgia Institute of Technology presented a talk at KAUST's Winter Enrichment Program 2022 on strategies to reduce carbon emissions. She emphasized developing localized solutions and highlighted business opportunities in enhancing energy systems through carbon reduction. Brown noted that achieving the Paris Accord goals requires a 50% reduction in greenhouse gas emissions by 2030. Why it matters: This underscores the importance of localized carbon reduction strategies and the potential for innovation in energy systems within the region, aligning with Saudi Arabia's Vision 2030 goals for sustainability.
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.
KAUST is accepting proposals for the Winter Enrichment Program (WEP) 2016 until May 4th, 2015. The program, scheduled for January 10-21, 2016, focuses on climate change and sustainability, aligning with the 2015 United Nations Climate Change Conference. The KAUST community can submit ideas for lectures, courses, workshops, and cultural activities. Why it matters: This interdisciplinary program fosters community engagement at KAUST while addressing a critical global issue.