Ziming Chen

Research Interests:

Hybrid Model and Machine Learning: Understand the Earth system by combining physics-based numerical models and AI/ML techniques

Global monsoon system: I focus on the monsoon simulation. Particularly, I am interested in the source of model biases and projection uncertainty. For the large-scale monsoon circulation, I have tried to understand the biases from the perspective of atmospheric energy transport

Mid-latitude stationary waves: I investigate the projected changes of summer heat-dome-like stationary waves over Pacific Northwest Region and revealed its impacts on the extreme heat events

Observational Constraint of Regional Climate Changes: Based on the physical linkage between the future projection uncertainty and present-day model biases, I try to constrain the future projection results, by using multiply observation datasets. Particularly, I am interested in constraining the regional projection, such as regional monsoon precipitation and surface air temperature warming over China, in a changing climate.

Publication

2025

Chen, Z., S. Lubis, J. Lu, C.C. Chang, H. Huang, W. Zhou, B. Harrop, L. R. Leung. 2025: Eastward Shift in Boreal Summer Intraseasonal Oscillation Amplifies North America Heatwave and Wildfire Risks in a Warming Climate. npj Clim. Atmos. Sci. 8, 317. https://doi.org/10.1038/s41612-025-01196-5

Chang, C., M. Zhao, S. Lubis, Z. Chen, K. Balaguru, S. Hagos, L. Leung, W. Zhou. 2025: Are North Atlantic Tropical Cyclones Modulated by the Madden-Julian Oscillation in HighResMIP AGCMs? J. Clim., 2891–2916, https://doi.org/10.1175/JCLI-D-24-0509.1

Gu, C., Y. Luo, F. Liu, J. Lu, Z. Chen. 2025: Increased Asian Aerosols Contribute to Historical Climate Change in Antarctica. Geophys. Res. Lett , e2025GL114888. https://doi.org/10.1029/2025GL114888 (HIghlighted by Nature)

Zhou T., X. Chen, W. Zhang, B. Wu, Z. Chen, J. Jiang, X. Huang, S. Hu, M. Zuo, W. Man, L. Zhang, Z. Guo, P. LIN, L. Wang. 2025: The observed and projected changes of global monsoons: Current status and future perspectives. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-025-5094-1

Lubis, S., B. Harrop, J. Lu, L. R. Leung, Z. Chen, C. S. Y. Huang, N.-E. Omrani: Cloud-Radiative Effects Significantly Increase Wintertime Atmospheric Blocking in the Euro-Atlantic Sector. Nature Communications. (Accepted)

Lubis, S., C. Chang, S. Hagos, M. Zhao, Z. Chen, K. Balaguru, L. R. Leung. 2025: Projected Changes in Cross-Equatorial Northerly Surges and their Hydrological Impacts in the Near Future. npj Clim. Atmos. Sci. (Accepted)

Chen, Z., L. R. Leung, W. Zhou et al.: Hierarchical Testing of a Hybrid Machine Learning-Physics Global Atmosphere Model. AGU Advances. https://doi.org/10.22541/essoar.176083829.92588794/v1 (Under Review)

Zhou W., L. R. Leung, B. E. Harrop, Z. Chen, C. C. Chang: Distinct land relative humidity trends in observations, reanalyses, and models explained by a theoretical wetness index. Proceedings of the National Academy of Sciences. (Under Review)

2024

Chen, Z., T. Zhou, X. Chen, L. Zhang, Y. Qian, Z. Wang, L. He, and L. R. Leung, 2024: Understanding the biases in global monsoon simulations from the perspective of atmospheric energy transport. J. Clim., 4647–4666, https://doi.org/10.1175/jcli-d-23-0444.1.

Lubis, S. W., Z. Chen, J. Lu, S. Hagos, and C. Chang, 2024: Enhanced Pacific Northwest Heat Extremes and Wildfire Risks Induced by the Boreal Summer Intraseasonal Oscillation. npj Clim. Atmos. Sci., 7, 1–15, https://doi.org/10.1038/s41612-024-00766-3.

Akinsanola, A. A., Z. Chen, G. J. Kooperman, and V. Bobde, 2024: Robust future intensification of winter precipitation over the United States. npj Clim. Atmos. Sci., 7, 1–11, https://doi.org/10.1038/s41612-024-00761-8.

Tang, L., R. Lu, Z. Lin, J. Lu, and Z. Chen, 2024: Concurrent inter-¬model spread of boreal winter westerly jet meridional positions between the Northern and Southern hemispheres in CMIP6 models. Int. J. Climatol., 1–13, https://doi.org/10.1002/joc.8647.

2023

Chen, Z.*, J. Lu*, C.C. Change, S. W. Lubis, and L. R. Leung, 2023: Projected increase in summer heat-dome-like stationary waves over Northwestern North America. npj Climate and Atmospheric Science, 6, 194, https://doi.org/10.1038/s41612-023-00511-2.

Chen, Z., T. Zhou, X. Chen, W. Zhang, M. Zuo, W. Man, and Y. Qian, 2023: Emergent Constrained Projections of Mean and Extreme Warming in China. Geophys. Res. Lett., 50, 1–13, https://doi.org/10.1029/2022GL102124.

Jiang, J., T. Zhou, ..., and Z. Chen, 2023: Precipitation regime changes in High Mountain Asia driven by cleaner air. Nature, https://doi.org/10.1038/s41586-023-06619-y.

Huang, X., T. Zhou, J. C. L. Chan, R. Zhan, Z. Chen, and J. Zhao, 2023: Understanding uncertainties in projections of western North Pacific tropical cyclogenesis. Environ. Res. Lett., 18, 4037, https://doi.org/10.1088/1748-9326/ad02ad.

邱慧, 周天军, 陈梓明, 等. 2023. 北非季风气候态及其年际变率的数值模拟：基于FGOALS-g3模式的诊断分析[J]. 大气科学, 47(4): 1065−1084, https://doi.org/10.3878/j.issn.1006-9895.2111.21141

2022

Chen, Z., T. Zhou, X. Chen, W. Zhang, L. Zhang, M. Wu, and L. Zou, 2022: Observationally constrained projection of Afro-Asian monsoon precipitation. Nature Communications, 13, 1–12, https://doi.org/10.1038/s41467-022-30106-z.

2021

Zhang, L., Z. Chen, and T. Zhou, 2021: Human Influence on the Increasing Drought Risk Over Southeast Asian Monsoon Region. Geophys. Res. Lett., 48, 1–9, https://doi.org/10.1029/2021GL093777.

周天军, 陈梓明, 陈晓龙, 左萌, 江洁, and 胡帅, 2021: IPCC AR6解读：未来的全球气候——基于情景的预估和近期信息. 气候变化研究进展, 17, 652–663, https://doi.org/10.12006/j.issn.1673-1719.2021.

2020

Chen, Z., T. Zhou, L. Zhang, X. Chen, W. Zhang, and J. Jiang, 2020: Global Land Monsoon Precipitation Changes in CMIP6 Projections. Geophys. Res. Lett., 47, https://doi.org/10.1029/2019GL086902.

Chen, Z., T. Zhou, W. Zhang, P. Li, and S. Zhao, 2020: Projected Changes in the Annual Range of Precipitation Under Stabilized 1.5°C and 2.0°C Warming Futures. Earth’s Futur., 8, https://doi.org/10.1029/2019EF001435.

Zhou, T., Z. Chen, et al., 2020: Development of Climate and Earth System Models in China: Past Achievements and New CMIP6 Results. J. Meteorol. Res., 34, 1–19, https://doi.org/10.1007/s13351-020-9164-0.

Zhou, T., J. Lu, W. Zhang, and Z. Chen, 2020: The sources of uncertainty in the projection of global land monsoon precipitation. Geophys. Res. Lett., 47, https://doi.org/10.1029/2020gl088415.

周天军, 陈梓明, 等, 2020: 中国地球气候系统模式的发展及其模拟和预估. 气象学报, 78, 332–350, https://doi.org/10.11676/qxxb2020.029.

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