Hybrid Model and Machine Learning: I am trying to couple NeuralGCM with a simple land model for a stable long-term simulation
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.
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.
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
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.
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.
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.