Zhong, Z., H. W. Chen, A. Dai, T. Zhou, B. He, and B. Su, 2025: Sub-diurnal asymmetric warming has amplified atmospheric dryness since the 1980s. Nature Communications, 16, 8247, https://doi.org/10.1038/s41467-025-63672-z.

Chen, J., H. W. Chen, Z. Li, Q. Wang, G. Wang, K. Jia, X. Yan, 2025: Divergent radiative forcing of fine-mode aerosols across tree genera during wildfires in North America and Europe. Journal of Hazardous Materials, 495, 138881, https://doi.org/10.1016/j.jhazmat.2025.138881.

Liu, Y., Q. Tang, L. R. Leung, D. Chen, J. A. Francis, C. Zhang, H. W. Chen, and S. C. Sherwood, 2025: Changes in atmospheric circulation amplify extreme snowfall fueled by Arctic sea ice loss over high-latitude land. Weather and Climate Extremes, https://doi.org/10.1016/j.wace.2025.100802.

Zhong, Z., H. W. Chen, B. He, and B. Su, 2025: Contrasting vegetation productivity responses in arid and humid zones to recent changes in diurnal temperature range. The Innovation Geoscience, 3, 100163, https://doi.org/10.59717/j.xinn-geo.2025.100163.

Zou, J., H. W. Chen, H. Li, Q. Wang, G. Wang, K. Jia, Z. Chen, C. Zhao, W. Shi, Y. Yang, Y. Tang, J. Chen, Y. Zhang, T. Xu, Y. Wang, G. Liu, and X. Yan, 2025: Amplified urban heat island effect in southern China’s old towns following atmospheric regulation policies. Sustainable Cities and Society, 131, 106675, https://doi.org/10.1016/j.scs.2025.106675.

Peng, W., Y. Yi, U. Mishra, K. Bakian-Dogaheh, J. S. Kimball, M. Moghaddam, and H. W. Chen, 2025: Characterizing spatial variability of soil organic carbon through improved machine-learning modeling with in situ data resampling: A case study in Alaska. IEEE Transactions on Geoscience and Remote Sensing, 63, 1–14, https://doi.org/10.1109/TGRS.2025.3572344.

Ye, K., J. Cohen, H. W. Chen, S. Zhang, D. Luo, and M. E. Hamouda, 2025: Attributing climate and weather extremes to Northern Hemisphere sea ice and terrestrial snow: progress, challenges and ways forward. npj Climate and Atmospheric Science, 8, 1–22, https://doi.org/10.1038/s41612-025-01012-0.

Cai, Z., Q. You, J. A. Screen, H. W. Chen, R. Zhang, Z. Zuo, D. Chen, J. Cohen, S. Kang, and R. Zhang, 2025: Lessened projections of Arctic warming and wetting after correcting for model errors in global warming and sea ice cover. Science Advances, 11, eadr6413, https://doi.org/10.1126/sciadv.adr6413.

Shen, C., Z.-B. Li, F. Liu, H. W. Chen, and D. Chen, 2025: A robust reduction in near-surface wind speed after volcanic eruptions: Implications for wind energy generation. The Innovation, 6, https://doi.org/10.1016/j.xinn.2024.100734.

Li, T., B. He, D. Chen, H. W. Chen, L. Guo, W. Yuan, K. Fang, F. Shi, L. Liu, H. Zheng, L. Huang, X. Wu, X. Hao, X. Zhao, and W. Jiang, 2024: Increasing sensitivity of tree radial growth to precipitation. Geophysical Research Letters, 51, e2024GL110003, https://doi.org/10.1029/2024GL110003.

Xu, H., H. W. Chen, D. Chen, Y. Wang, X. Yue, B. He, L. Guo, W. Yuan, Z. Zhong, L. Huang, F. Zheng, T. Li, and X. He, 2024: Global patterns and drivers of post-fire vegetation productivity recovery. Nature Geoscience, 17, 874–881, https://doi.org/10.1038/s41561-024-01520-3.

Yan, X., C. Zuo, Z. Li, H. W. Chen, Y. Jiang, Q. Wang, G. Wang, K. Jia, Y. A, Z. Chen, and J. Chen, 2024: Substantial underestimation of fine-mode aerosol loading from wildfires and its radiative effects in current satellite-based retrievals over the United States. Environmental Science & Technology, 58, 15661–15671, https://doi.org/10.1021/acs.est.4c02498.

Yan, X., Z. Zang, Z. Li, H. W. Chen, J. Chen, Y. Jiang, Y. Chen, B. He, C. Zuo, T. Nakajima, and J. Kim, 2024: Deep learning with pretrained framework unleashes the power of satellite-based global fine-mode aerosol retrieval. Environmental Science & Technology, 58, 14260–14270, https://doi.org/10.1021/acs.est.4c02701.

He, M., J. Cui, Y. Yi, H. W. Chen, Q. Zhang, L. Li, L. Huang, and S. Hong, 2024: Vegetation increases global climate vulnerability risk by shifting climate zones in response to rising atmospheric CO₂. Science of The Total Environment, 949, 174810, https://doi.org/10.1016/j.scitotenv.2024.174810.

Liu, Y., Q. Tang, C. Zhang, D. Chen, J. A. Francis, L. R. Leung, and H. W. Chen, 2024: The disproportionate impact of enhanced evaporation from melting arctic sea ice on cold-season land precipitation trends. npj Climate and Atmospheric Science, 7, 1–9, https://doi.org/10.1038/s41612-024-00680-8.

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.

Lai, H.-W., D. Chen, and H. W. Chen, 2024: Precipitation variability related to atmospheric circulation patterns over the Tibetan Plateau. International Journal of Climatology, 44, 91–107, https://doi.org/10.1002/joc.8317.

Zhong, Z., B. He, H. W. Chen, D. Chen, T. Zhou, W. Dong, C. Xiao, S. Xie, X. Song, L. Guo, R. Ding, L. Zhang, L. Huang, W. Yuan, X. Hao, D. Ji, 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, 1–9, 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.

Yan, X., C. Zuo, Z. Li, H. W. Chen, Y. Jiang, B. He, H. Liu, J. Chen, and W. Shi, 2023: Cooperative simultaneous inversion of satellite-based real-time PM_2.5 and ozone levels using an improved deep learning model with attention mechanism. Environmental Pollution, 327, 121509, https://doi.org/10.1016/j.envpol.2023.121509.

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, G. 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 Reviews, 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. Denier van der Gon, I. Super, A. Löscher, and Y. Meijer, 2022: Assessing the impact of atmospheric CO₂ and NO₂ measurements from space on estimating city-scale fossil fuel CO₂ emissions in a data assimilation system. Frontiers in Remote Sensing, 3, 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.

Fang, M., X. Li, H. W. Chen, and D. Chen, 2022: Arctic amplification modulated by Atlantic Multidecadal Oscillation and greenhouse forcing on multidecadal to century scales. Nature Communications, 13, 1865, https://doi.org/10.1038/s41467-022-29523-x.

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, S. Piao, 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. Agustí-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.

Cai, Z., Q. You, F. Wu, H. W. Chen, D. Chen, and J. Cohen, 2021: Arctic warming revealed by multiple CMIP6 models: Evaluation of historical simulations and quantification of future projection uncertainties. Journal of Climate, 34, 4871–4892, https://doi.org/10.1175/JCLI-D-20-0791.1.

Lai, H.-W., H. W. Chen, J. Kukulies, T. Ou, and D. Chen, 2021: Regionalization of seasonal precipitation over the Tibetan Plateau and associated large-scale atmospheric systems. Journal of Climate, 34, 2635–2651, https://doi.org/10.1175/JCLI-D-20-0521.1.

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.

Chen, H. W., L. N. Zhang, F. Zhang, K. J. Davis, T. Lauvaux, S. Pal, B. Gaudet, and J. P. DiGangi, 2019: Evaluation of regional CO₂ mole fractions in the ECMWF CAMS real-time atmospheric analysis and NOAA CarbonTracker Near-Real-Time reanalysis with airborne observations from ACT-America field campaigns. Journal of Geophysical Research: Atmospheres, 124, 8119–8133, https://doi.org/10.1029/2018JD029992.

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.

Chen, H. W., R. B. Alley, and F. Zhang, 2016: Interannual Arctic sea ice variability and associated winter weather patterns: A regional perspective for 1979–2014. Journal of Geophysical Research: Atmospheres, 121, 14,433–14,455, https://doi.org/10.1002/2016JD024769.

Chen, H. W., F. Zhang, and R. B. Alley, 2016: The robustness of midlatitude weather pattern changes due to Arctic sea ice loss. Journal of Climate, 29, 7831–7849, https://doi.org/10.1175/JCLI-D-16-0167.1.

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.

Chen, D., and H. W. Chen, 2013: Using the Köppen classification to quantify climate variation and change: An example for 1901–2010. Environmental Development, 6, 69–79, https://doi.org/10.1016/j.envdev.2013.03.007.

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

Chen, H., and M. Scholze, 2018: Progress in characterizing uncertainty for fossil fuel emissions. CHE Consortium.

Ying, Y., X. Chen, Y. Zhang, M. Minamide, R. Nystrom, H. Chen, J. Poterjoy, C. Melhauser, Y. Weng, Z. Meng, A. Aksoy, and 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.