教育经历：

2008-2011年，硕士，华北电力大学

2014-2019年，博士，华北电力大学

2022年, 访问学者, University College London

工作经历：

2011年-现在，华北电力大学，高工，硕士生导师

研究方向：

高分辨率气候模拟；气候影响评估；能源系统优化

联系方式：

handangjh@163.com

发表论文：

Guo, J. ,  Wang, F. ,  Wen, Y. ,  Wang, X. ,  Hao, Z. , Zheng, H. , et al., Rising compound hot-dry extremes engendering more inequality in human exposure risks. npj Natural Hazards, 2025, 2(1).

Pan Z., Liu C., Chen Z., Wang H., Wang X., Guo J.*, et al., Quantifying spatiotemporal shifts in photovoltaic potential across China under 1.5°C and 2.0°C global warming scenarios. Applied Energy, 2025, 125957.

Chen, Z., Li W., Pan Z.R., Guo J.*. Spatiotemporal changes in PV potential and extreme characteristics in China under SSP scenarios, Energy, 2025, 135215.

Chen Z., Li W., Wang X.X., Bai J.J., Wang X.Q., Guo J.*. Evaluating wind and solar complementarity in China: considering climate change and source-load matching dynamics, Energy, 2024, 133485.

Liu, Z., Guo, J., Wang, X., Wang, Y., et al., Prediction of long-term photovoltaic power generation in the context of climate change. Renewable Energy, 2024, 121263.

Guo, J. , Jia, H. , Wang, Y. , Wang, X. , & Li, W. Dynamical downscaling of daily extreme temperatures over China using precis model. Sustainability, 2024, 16(7): 2071-1050.

Chen Z., Guo J.*, Li W. et al., Changes in wind energy potential over China using a regional climate model ensemble. Renewable & sustainable energy reviews, 2022, 159(5): 112219.1-112219.10.

Guo J., Chen Z., Meng J., Zheng H., Fan Y., Ji L., Wang X.*, Liang X., Picturing China’s photovoltaic energy future: Insights from CMIP6 climate projections. Renewable and Sustainable Energy Reviews, 2024, 189, 114026.

Guo J., Liang X., Wang X., Fan Y., Liu L., Potential benefits of limiting global warming for the mitigation of temperature extremes in China. npj Climate and Atmospheric Science, 2023, 6, 106.

Guo, J., Shen, Y., Wang, X., Liang X., Liu, Z., Liu, L., Evaluation and Projection of Precipitation Extremes under 1.5°C and 2.0°C GWLs over China using Bias-corrected CMIP6 models, iScience, 2023, 26(4):106179.

Guo, J., Wang, X., Fan Y., Liang X.,, Jia H., Liu L., How extreme events in China would be affected by global warming – insights from a bias-corrected CMIP6 ensemble, Earths Future, 2023, 11, e2022EF003347.

Guo, J., Wang, X., Xiao, C., Liu, L., Wang, T., & Shen, C. Evaluation of the temperature downscaling performance of PRECIS to the BCC-CSM2-MR model over China. Climate Dynamics, 2022, 59, 1143–1159.

Guo, J., Huang, G., Wang, X., Lu, C., Projections of daily mean surface temperature over the Beijing-Tianjin-Hebei region through a stepwise cluster downscaling method. Theoretical and Applied Climatology, 2020, 141, 71-86.

Guo, J., Huang, G. Wang, X., Xu, Ye, Li, Y., Projected changes in wind speed and its energy potential in China using a high‐resolution regional climate model. Wind Energy, 2020, 23. 417-485.

Guo J., Huang G., Wang X., Li Y., Improved performance of a PRECIS ensemble in simulating near-surface air temperature over China. Climate Dynamics, 2019, 52(11): 6691-6704.

Guo J., Huang G., Wang X., Li Y., Lin Q., Dynamically-downscaled projections of changes in temperature extremes over China. Climate Dynamics, 2018, 50(3-4): 1045-1066.

Guo J., Huang G., Wang X., Li Y., Yang L., Future changes in precipitation extremes over China projected by a regional climate model ensemble. Atmospheric Environment, 2018, 188: 142-156.

Guo J., Huang G., Wang X., Li Y., Lin Q., Investigating future precipitation changes over China through a high-resolution regional climate model ensemble, Earths Future, 2017, 5: 285-303.