Researcher at KAUST (King Abdullah University of Science and Technology)
Thuwal, Makkah Region, Saudi Arabia
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Summary
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Senior
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Top School
Alexander Ukhov is an atmospheric researcher at KAUST with 11 years of experience applying physics and computational methods to climate and aerosol science. He holds a PhD in Physics and combines academic rigor with practical coding skills, contributing as a back-end developer to the widely used WRF model. His work on the GOCART aerosol scheme fixed molar mass errors, tuned dust emission and settling parameters, and improved mass redistribution between aerosol bins—enhancements that sharpen aerosol optical depth estimates in a flagship weather model. Based in Thuwal, he is an open-source enthusiast who bridges research and production modeling, ensuring scientific accuracy translates into reliable code. Colleagues value his ability to refactor complex legacy code while keeping a clear focus on physical realism and model performance.
11 years of coding experience
Master of Science - MS, Physics and mathematics, Master of Science - MS, Physics and mathematics at Ural State Technical University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Ural Federal University
The official repository for the Weather Research and Forecasting (WRF) model
Role in this project:
Back-end Developer
Contributions:8 commits, 10 PRs, 17 comments in 3 years 11 months
Contributions summary:Alexander primarily contributed to bug fixes and enhancements within the WRF model, focusing on the GOCART aerosol scheme. They corrected errors related to molar mass calculations, dust emission parameters, and the gravitational settling of dust and sea salt. The user also refactored code and improved the mass redistribution between GOCART and MOZAIC bins, contributing to more accurate aerosol optical depth calculations.
Contributions:2 releases, 2 PRs, 203 pushes in 3 years
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