🎉 Our paper on parametric and predictive uncertainty quantification in the E3SM Land Model has been published in JAMES!
Heading toward more predictable Earth system modeling through uncertainty quantification and model–data integration.
Hello! My name is Zhongjing Jiang (姜中景). I am a research scientist at the Institute for Sustainability, Energy, and Environment (iSEE) at the University of Illinois Urbana-Champaign (UIUC) and the Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), funded by the U.S. Department of Energy. Currently, as a staff member of Agroecoystem Sustainability Center (ASC), I work closely with Prof. Kaiyu Guan ’s group and CABBI colleagues, and my research focuses on ecosystem modeling and bioenergy systems. I also serve on the Editorial Board of Communications Earth & Environment (CEE), a journal in the Nature Portfolio.
More broadly, my research focuses on Earth system modeling and uncertainty quantification, with an emphasis on ocean–atmosphere–land interactions and carbon–water–energy coupling. Drawing on a diverse academic background spanning mathematics, atmospheric science, and environmental studies, my work bridges the atmospheric, oceanic, and terrestrial components of the Earth system. I identify myself as an interdisciplinary Earth system scientist and am always excited to engage in discussions on atmospheric science, climate change, energy, and sustainability.
Ph.D. in Atmospheric Physics and Atmospheric Environment
Peking University
B.S. in Mathematics and Applied Mathematics
Beijing Normal University
My research focuses on addressing the complex challenges posed by climate change, with an emphasis on Earth System Modeling, ocean-atmosphere-land interactions, and Uncertainty Quantification (UQ). Drawing on my academic background in applied mathematics and atmospheric science, I am dedicated to advancing our understanding of the intricate relationships within the Earth’s climate system as well as finding sustainable solutions to the world.
Prior to joining UIUC, I was a postdoctoral researcher at Brookhaven National Laboratory, where I worked across the Environmental Science and Technologies Department and the Computing and Data Sciences. This experience strengthened my interdisciplinary perspective at the interface of climate science, applied mathematics, and computational methodologies.
I envision my research contributing to both scientific understanding and practical solutions to pressing climate and environmental challenges. My focus lies particularly in air quality, climate variability, terrestrial ecosystems, and improving climate model predictability. By leveraging my interdisciplinary expertise, I aim to unravel the complexities of Earth system and climate modeling, offering insights that enhance scientific knowledge and inform nature-based solutions for mitigating global climate challenges.
Link to my Google Scholar page
Preprint:
Peer-reviewed publications:
Heading toward more predictable Earth system modeling through uncertainty quantification and model–data integration.
Excited to join the editorial community!
Really enjoyed the discussion about UQ and OSSEs!
Great thanks to the courtesy travel support from the US CLIVAR!
New journey at UIUC-iSEE and CABBI!