Publications

Peer reviewed

2024

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.

2023

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.

2022

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.

Cai, Z., Q. You, H. W. Chen, R. Zhang, D. Chen, J. Chen, S. Kang, and J. Cohen, 2022: Amplified wintertime Barents Sea warming linked to intensified Barents oscillation. Environmental Research Letters, 17, 044068, https://doi.org/10.1088/1748-9326/ac5bb3.

Tang, R., B. He, H. W. Chen, D. Chen, Y. Chen, Y. H. Fu, W. Yuan, B. Li, Z. Li, L. Guo, X. Hao, L. Sun, H. Liu, C. Sun, and Y. Yang, 2022: Increasing terrestrial ecosystem carbon release in response to autumn cooling and warming. Nature Climate Change, 12, 380–385, https://doi.org/10.1038/s41558-022-01304-w.

He, B., C. Chen, S. Lin, W. Yuan, H. W. Chen, D. Chen, Y. Zhang, L. Guo, X. Zhao, X. Liu, Z. Zhong, R. Wang, and R. Tang, 2022: Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks. National Science Review, 9, nwab150, https://doi.org/10.1093/nsr/nwab150.

Kaminski, T., M. Scholze, P. Rayner, M. Voßbeck, M. Buchwitz, M. Reuter, W. Knorr, H. Chen, A. Agusti-Panareda, A. Löscher, and Y. Meijer, 2022: Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories. Environmental Research Letters, 17, 014015, https://doi.org/10.1088/1748-9326/ac3cea.

2021

2020

Cohen, J., X. Zhang, J. Francis, T. Jung, R. Kwok, J. Overland, T. J. Ballinger, U. S. Bhatt, H. W. Chen, D. Coumou, S. Feldstein, H. Gu, D. Handorf, G. Henderson, M. Ionita, M. Kretschmer, F. Laliberte, S. Lee, H. W. Linderholm, W. Maslowski, Y. Peings, K. Pfeiffer, I. Rigor, T. Semmler, J. Stroeve, P. C. Taylor, S. Vavrus, T. Vihma, S. Wang, M. Wendisch, Y. Wu, and J. Yoon, 2020: Divergent consensuses on Arctic amplification influence on midlatitude severe winter weather. Nature Climate Change, 10, 20–29, https://doi.org/10.1038/s41558-019-0662-y.

2019

Chen, H. W., F. Zhang, T. Lauvaux, K. J. Davis, S. Feng, M. P. Butler, and R. B. Alley, 2019: Characterization of regional-scale CO2 transport uncertainties in an ensemble with flow-dependent transport errors. Geophysical Research Letters, 46, 4049–4058, https://doi.org/10.1029/2018GL081341.

2016

2013

Chen, H. W., Q. Zhang, H. Körnich, and D. Chen, 2013: A robust mode of climate variability in the Arctic: The Barents Oscillation. Geophysical Research Letters, 40, 2856–2861, https://doi.org/10.1002/grl.50551.

Other publications

Scholze, M., H. Chen, T. Kaminski, and M. Voßbeck, 2020: Inversion strategy based on joint QND assessments. CHE Consortium.

Ying, Y., X. Chen, Y. Zhang, M. Minamide, R. Nystrom, H. Chen, J. Poterjoy, C. Melhauser, Y. Weng, Z. Meng, A. Aksoy, F. Zhang, 2018: PSU WRF EnKF/4DVar hybrid regional data assimilation system: Technical notes. Department of Meteorology and Atmospheric Science, and Center for Advanced Data Assimilation and Predictability Techniques, The Pennsylvania State University, University Park, Pennsylvania.

Cohen, J., X. Zhang, J. Francis, T. Jung, R. Kwok, J. Overland, P. C. Taylor, S. Lee, F. Laliberte, S. Feldstein, W. Maslowski, G. Henderson, J. Stroeve, D. Coumou, D. Handorf, T. Semmler, T. Ballinger, M. Hell, M. Kretschmer, S. Vavrus, M. Wang, S. Wang, Y. Wu, T. Vihma, U. Bhatt, M. Ionita, H. Linderholm, I. Rigor, C. Routson, D. Singh, M. Wendisch, D. Smith, J. Screen, J. Yoon, Y. Peings, H. Chen, and R. Blackport, 2018: Arctic change and possible influence on mid-latitude climate and weather: A US CLIVAR white paper. US CLIVAR, https://doi.org/10.5065/D6TH8KGW.