KAUST and international collaborators discovered that the Rub’ Al-Khali desert was once a vast lake and river system that supported grasslands and savannahs. The "Green Arabia" period, marked by heavy rainfall, facilitated the growth of a lake covering 1,100 km² with a depth of 42 meters, which overflowed and carved a 150 km valley. The research, published in Communications Earth & Environment, highlights the impact of climate cycles on landscapes and human societies. Why it matters: Understanding the past climate transformations in the Arabian Peninsula is crucial for predicting the consequences of current climate change and its impact on regional habitability.
The paper proposes a method for causal inference using satellite image time series to determine the impact of interventions on climate change, focusing on quantifying deforestation due to human causes. The method uses computer vision and deep learning to detect forest tree coverage levels over time and Bayesian structural causal models to estimate counterfactuals. The framework is applied to analyze deforestation levels before and after the hyperinflation event in Brazil in the Amazon rainforest region.
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.
KAUST Ph.D. student Matt Tietbohl attended the 11th International Conference on the Applications of Stable Isotope Techniques to Ecological Studies (IsoEcol) in Chile. Over 250 scientists from 34 countries participated in talks and workshops focused on stable isotope analysis in ecology. Researchers presented findings on diverse applications, from human nutrition to the origins of bodies at Stonehenge. Why it matters: Although not directly AI-related, KAUST's participation in international scientific conferences highlights its multidisciplinary research environment and global engagement.
A KAUST-led study identified 15 large mammal species that inhabited the Arabian Peninsula in the last 10,000 years, tripling previous estimates. Researchers analyzed thousands of petroglyphs from scientific expeditions, publications, and social media. The study identified two species never known to live in the region before: the greater kudu and the Somali wild ass. Why it matters: The findings provide a benchmark for rewilding efforts and inform decisions on which mammals to reintroduce to the region.
KAUST researchers have found conclusive evidence that the Red Sea completely dried out approximately 6.2 million years ago. Using seismic imaging, microfossil evidence, and geochemical dating, they determined a massive flood from the Indian Ocean refilled it in about 100,000 years. The flood carved a 320-kilometer-long submarine canyon and restored marine conditions. Why it matters: This discovery provides insights into extreme environmental events and the Red Sea's unique geological history, distinguishing it from the refilling of the Mediterranean.
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.
KAUST researchers found a 25-30% increase in winter rainfall in the eastern Arabian Peninsula since 1981, with a 10-20% decrease in the south and northeast. This change correlates with a shifting El Niño pattern in the tropical Pacific Ocean, affecting sea surface temperatures and westerly winds. The study used rainfall data from the University of East Anglia and 39 stations across the peninsula from 1951-2010. Why it matters: Improved understanding of these climate drivers could enhance long-term rainfall predictions, benefiting agriculture and water resource management in this arid region.