KAUST researchers discovered that dust from the Middle East has a cooling effect over land and the Red Sea. Satellite data indicates dust concentration over the Red Sea is greater than over land, causing significant radiative cooling. The study, published in the Journal of Geographical Research, highlights the climatological dust radiative forcing over the southern Red Sea as the largest globally. Why it matters: Understanding the impact of regional dust on climate change and the Red Sea's ecosystem is crucial for environmental strategies in the Middle East.
KAUST researchers have found that dust clouds in the Arabian Peninsula are three times larger than previously estimated by current models. The study, published in the Journal of Geophysical Research: Atmospheres, uses refined mathematical models and data collected since 2012 to analyze the impact of coarse dust particles. The updated model indicates that larger particles contribute to over 80% of dust mass on land, leading to significant efficiency loss for solar technology, estimated at 15-45% depending on location. Why it matters: Accurate dust modeling is crucial for the strategic deployment and maintenance of solar technology, supporting Saudi Arabia's sustainable economy goals.
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.
The AQABA project, a collaboration involving KAUST and international institutions, studies air quality and climate change in the Arabian Basin using a marine research vessel. The vessel traveled from France through the Suez Canal, around the Arabian Peninsula, and stopped at KAUST. Researchers presented findings on atmospheric dust, air pollution, and aerosol measurements, highlighting the impact of dust on renewable energy and air pollution on health. Why it matters: The project provides crucial data for understanding and addressing climate challenges and air quality issues in the Middle East.
KAUST and the National Center for Meteorology (NCM) have signed agreements to create two new climate centers in Saudi Arabia. The centers are named The National Center for Climate Change, and the Regional Sand and Dust Storms Early Warning and Advisory Center. KAUST will assist NCM in developing web-based publishing software and climate models, in cooperation with the National Center for Atmospheric Research in the USA. Why it matters: The new centers will provide crucial tools and information for mitigating the negative effects of climate change in Saudi Arabia and the broader MENA region.
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.
MBZUAI researchers developed AirCast, a novel AI model for improved air pollution forecasting, which won the best paper award at the TerraBytes workshop during ICML. AirCast fuses weather and chemistry data using a Vision Transformer and frequency-weighted MAE to better predict extreme events like Saharan dust storms. In tests across the Middle East and North Africa, AirCast reduced PM2.5 error by 33% compared to a persistence baseline and outperformed the CAMS physics model. Why it matters: Accurate air pollution forecasting is critical for public health in the GCC region, and this research demonstrates a significant advancement using AI to address this challenge.
KAUST and K.A.CARE have partnered to study solar irradiation and atmospheric weather conditions in Saudi Arabia, leveraging K.A.CARE's Renewable Resources Atlas Project. The collaboration uses KAUST's Shaheen II supercomputer to simulate weather and atmospheric conditions from 2005-2018. The long-term goal is daily forecasting of weather and air quality across the Arabian Peninsula. Why it matters: This initiative will provide crucial data for renewable energy development and environmental monitoring in the region, supporting Saudi Arabia's sustainability goals.