معرفی
Dr. Mark Muetzelfeldt is a Postdoctoral Research Assistant at the Department of Meteorology, University of Reading. He specializes in advancing the representation of organized convection and mesoscale convective systems (MCS) in global models. His current research focuses on the UPFLO project, collaborating with ECMWF, UK Met Office, NCAS, and others to improve understanding of convective updrafts and anvil clouds. He previously worked on projects like MCS:PRIME (stochastic parametrization of MCS), USM (urban-scale modeling), and COSMIC (high-resolution GCM simulations in China).
Education: PhD in Meteorology from the University of Reading (2020).
Research Interests: Organized deep convection, parametrization schemes, high-resolution modeling, cloud-anvil interactions, and climate predictability. He has developed tools like BASMATI to analyze extreme weather events such as the 2020 China floods.
Grants & Projects: Technical PI for HPC resources in MCS:PRIME and UPFLO. Active in collaborative initiatives like AFESP and CSSP China. Supervised PhD student Deepti Dahiya studying tropical cloud-radiation interactions.
Publications: Focus on improving model representation of MCS, environmental precursors, and regional climate trends in East Asia. Key areas include convective updraft dynamics, anvil cloud interactions, and stochastic parametrization.
Labs/Teams: Part of the Advancing Frontiers of Earth System Prediction (AFESP) program. Collaborates with the Atmospheric, Oceanic and Planetary Physics group at the University of Oxford.
