KAUST collaborated with NASA's Langley Research Center to launch six weather balloons from KAUST's Coastal & Marine Laboratory, reaching an altitude of 35 kilometers. The balloons were equipped with instruments to measure meteorological properties and characterize the optical properties of aerosols, including a Compact Optical Backscatter Aerosol Detector (COBALD). The research focuses on understanding the impact of dust aerosols on the Arabian Peninsula, including their effects on climate, air quality, and solar energy. Why it matters: This collaboration advances understanding of atmospheric aerosols in the region, with implications for climate modeling, solar energy efficiency, and Red Sea ecosystems.
This paper presents a fully autonomous micro aerial vehicle (MAV) developed to pop balloons using onboard sensing and computing. The system was evaluated at the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The MAV successfully popped all five balloons in under two minutes in each of the three competition runs. Why it matters: This demonstrates the potential of autonomous robotics and computer vision for real-world applications in challenging environments.
KAUST scientists are developing models to predict extreme weather events like the 2009 Jeddah flood, which caused significant damage. Prof. Ibrahim Hoteit's team is using data from satellites, international sources, and local entities like PME and the Jeddah Municipality to build high-resolution models. The aim is to improve predictions of extreme rain events by one or two days and issue timely warnings. Why it matters: Improving extreme weather prediction is crucial for mitigating the impact of climate change in vulnerable regions like the GCC.
The Directed Energy Research Center (DERC) received a US$1.5 million grant from the UAE Research Program for Rain Enhancement Science (UAEREP). The grant was awarded at the UAEREP's 5th Cycle Awarding Ceremony in Abu Dhabi. DERC was recognized for its research on laser-induced rain and the development of a mobile high-power pulsed laser using remote sensing. Why it matters: This funding supports the development of sustainable, chemical-free rain enhancement technologies, addressing critical water security challenges in arid regions.
KAUST's HALO group launched a CubeSat in 2023 for high-precision Earth observation in the Gulf region, combining GNSS Reflectometry and hyperspectral sensing. The satellite monitors vegetation, soil, agriculture, and ecosystem health, providing detailed estimates of irrigation water use and vegetation health. The Extreme Statistics (XSTAT) research group at KAUST focuses on the mathematical modeling and prediction of extreme weather and climate events. Why it matters: These KAUST initiatives enhance climate resilience in the region through advanced monitoring, statistical modeling, and predictive capabilities.
The KAUST Supercomputing Core Lab (KSL) and the National Center of Meteorology (NCM) have been collaborating since 2016 to enhance weather forecasting capabilities in Saudi Arabia. KSL provides consultation, data storage, and computing time on the Shaheen II supercomputer to NCM. This collaboration has led to a significant increase in NCM's HPC facility computing capacity, from 10 to 380 TFLOPS, with ongoing work to reach 1.8 PFLOPS. Why it matters: This partnership strengthens Saudi Arabia's ability to provide accurate and timely weather forecasts, crucial for public safety, aviation, and national security, demonstrating the importance of HPC in addressing critical environmental challenges.
MBZUAI researchers are developing an AI-powered tool for flood assessment using satellite data and computer vision, prompted by the recent extreme weather in the Gulf region. The prototype analyzes spatial satellite imagery from before and after the storm to detect changes and identify heavily impacted roads and critical infrastructure. The tool uses AI models, Sentinel-2 imagery, and OpenStreetMap data to locate affected areas and estimate water depth. Why it matters: This research offers a way to automate and improve rapid response to extreme weather events, providing local authorities with critical information for rescue, recovery, and future urban planning in the face of climate change.