Portrait of Hans Chen

Hans Chen

Assistant Professor

Department of Space, Earth and Environment

Chalmers University of Technology

hans.chen@chalmers.se

About

I lead the Climate Dynamics Group at Chalmers University of Technology in Sweden. I’m an atmospheric and climate scientist studying climate variability and change, atmospheric dynamics, the Arctic climate system, terrestrial carbon cycle dynamics, and greenhouse gas emissions. In my research, I combine observations, theory, and numerical modeling to advance our understanding of the Earth system.

My current research focuses on developing methods to estimate CO2 emissions and uptake using primarily satellite observations. Specifically, I use data assimilation and inverse modeling techniques to infer regional-scale CO2 emissions and uptake from both natural and anthropogenic sources and sinks. Such methods are useful to study the natural carbon cycle and independently estimate anthropogenic fossil fuel emissions.

I’m also interested in various aspects of climate change, with a focus on the Arctic climate system and its connections to mid-latitude weather and climate variability and extremes. You can read more about the research topics that I and my group are working on under Research.

In my free time, I like to play basketball, listen to and play music, bike, and contribute to free and open-source software.

Recent publications

Cai, Z., Q. You, H. W. Chen, R. Zhang, Z. Zuo, D. Chen, J. Cohen, and J. A. Screen, 2024: Assessing Arctic wetting: Performances of CMIP6 models and projections of precipitation changes. Atmospheric Research, 297, 107124, https://doi.org/10.1016/j.atmosres.2023.107124.

Zhong, Z., B. He, H. W. Chen, D. Chen, T. Zhou, W. Dong, C. Xiao, L. Guo, R. Ding, L. Zhang, X. Song, L. Huang, W. Yuan, X. Hao, and X. Zhao, 2023: Reversed asymmetric warming of sub-diurnal temperature over land during recent decades. Nature Communications, 14, 7189, https://doi.org/10.1038/s41467-023-43007-6.

Wang, S., B. He, H. W. Chen, D. Chen, Y. Chen, W. Yuan, F. Shi, J. Duan, W. Wu, T. Chen, L. Guo, Z. Zhong, W. Duan, Z. Li, W. Jiang, L. Huang, X. Hao, R. Tang, H. Liu, Y. Zhang, and X. Xie, 2023: Fire carbon emissions over Equatorial Asia reduced by shortened dry seasons. npj Climate and Atmospheric Science, 6, 129, https://doi.org/10.1038/s41612-023-00455-7.

Zhong, Z., B. He, Y.-P. Wang, H. W. Chen, D. Chen, Y. H. Fu, Y. Chen, L. Guo, Y. Deng, L. Huang, W. Yuan, X. Hao, R. Tang, H. Liu, L. Sun, X. Xie, and Y. Zhang, 2023: Disentangling the effects of vapor pressure deficit on northern terrestrial vegetation productivity. Science Advances, 9, eadf3166, https://doi.org/10.1126/sciadv.adf3166.

Cai, Z., Q. You, H. W. Chen, R. Zhang, Z. Zuo, G. Dai, D. Chen, J. Cohen, O. Zolina, and S. K. Gulev, 2023: Interdecadal variability of the warm Arctic-cold Eurasia pattern linked to the Barents oscillation. Atmospheric Research, 287, 106712, https://doi.org/10.1016/j.atmosres.2023.106712.

Chen, H. W., F. Zhang, T. Lauvaux, M. Scholze, K. J. Davis, and R. B. Alley, 2023: Regional CO2 inversion through ensemble-based simultaneous state and parameter estimation: TRACE framework and controlled experiments. Journal of Advances in Modeling Earth Systems, 15, e2022MS003208, https://doi.org/10.1029/2022MS003208.

Wang X., Y. Ran, Y. Pang, D. Chen, B. Su, R. Chen, X. Li, H. W. Chen, M. Yang, X. Gou, M. T. Jorgenson, J. Aalto, R. Li, X. Peng, T. Wu, G. D. Clow, G. Wan, X. Wu, and D. Luo, 2022: Contrasting characteristics, changes, and linkages of permafrost between the Arctic and the Third Pole. Earth-Science Reviewers, 230, 104042, https://doi.org/10.1016/j.earscirev.2022.104042.

Kaminski, T., M. Scholze, P. Rayner, S. Houweling, M. Voßbeck, J. Silver, S. Lama, M. Buchwitz, M. Reuter, W. Knorr, H. W. Chen, G. Kuhlmann, D. Brunner, S. Dellaert, H. A. C. Denier van der Gon, I. Super, A. Löscher, and Y. Meijer, 2022: Assessing the constraint of atmospheric CO2 and NO2 measurements from space on city-scale fossil fuel CO2 emissions in a data assimilation system. Frontiers in Remote Sensing, 3, 887456, https://doi.org/10.3389/frsen.2022.887456.