高超
职称：讲师
单位：北京师范大学珠海校区水科学研究中心
电话：0756-3683958
邮箱：chaogao@bnu.edu.cn
网站：
研究方向
- 降雨模拟与预测
- 水旱灾害防灾减灾
- 变化环境对气象水文过程的影响
个人简介
工学博士，硕士研究生导师。主要从事降雨过程随机模拟与预测、水文过程模拟、变化环境对极端气象水文事件的影响评估与不确定性分析、旱涝灾害防灾减灾等方面的研究工作。在Hydrology and Earth System Sciences, Journal of Hydrology, 水科学进展等水文领域国内外权威期刊上发表学术论文20余篇，其中SCI论文20篇，获发明专利2项，软件著作权1项，主持2项省级基金，参与多项国家及省部级课题研究。
本科教育
学习时间：2009.09 – 2013.06
毕业院校：郑州大学
毕业专业：水文与水资源工程
硕士研究生教育
学习时间：2013.09 – 2016.03
毕业院校：浙江大学
毕业专业：水利工程
博士研究生教育
学习时间：2016.09 – 2020.06
毕业院校：浙江大学
毕业专业：水利工程
多尺度流域数值模拟团队
本科生通识课：《水灾害与智慧水务》
硕士生专业课：《水文水资源科学》《水资源管理》
博士生专业课：《水利工程博士生报告》《流域水文模拟》
1. 广东省基础与应用基础研究面上项目，变化环境下珠海前山河流域多因子联合致涝风险演变研究，2023.01~2025.12，10万，在研，主持
2. 广东省基础与应用基础研究区域联合基金—青年基金项目，气候变化背景下暴雨-潮位遭遇联合概率演变机制研究，2021A1515110410，2021.10~2024.09，10万，在研，主持
3. 北京师范大学珠海校区引进人才科研启动经费，2021.04~2024.03，20万，在研，主持
4. 浙江省自然科学基金委员会重点项目，季节性水文气象集合预报的可利用性，LZ20E090001，2020.01~2023.12，30万，在研，参与
5. 国家科学技术部重点研发计划“政府间国际科技创新合作”重点专项，气候变化对浙台两地极端暴雨洪水的影响及其应对措施，2016YFE0122100，2017.01~2018.12，89.6万，已结题，参与
6. 国家自然科学基金委员会重大研究计划培育项目，气候与下垫面协同变化下的径流响应及其不确定性研究，91547106，2016.01~2018.12，82万（直接经费），已结题，参与
7. 浙江省自然科学基金委员会杰出青年项目，LR14E090001，基于TIGGE和遥感信息的城市洪水预报新方法研究，2014.01~2017.12，30万，已结题，参与
期刊论文
1. Wang, X., Zhang, S., Tang, X., Gao, C.*. Spatiotemporal heterogeneity and driving mechanisms of water resources carrying capacity for sustainable development of Guangdong Province in China. Journal of Cleaner Production, 2023, 412: 137398.
2. Gao, C., Liu, L., Zhang, S., Xu, Y. P., Wang, X., Tang, X. Spatiotemporal patterns and propagation mechanism of meteorological droughts over Yangtze River Basin and Pearl River Basin based on complex network theory. Atmospheric Research, 2023, 106874.
3. Wang, X., Zhang, S., Tang, X., Gao, C.*. Research on water resources environmental carrying capacity (WRECC) based on support-pressure coupling theory: A case study of the Guangdong-Hong Kong-Macao Greater Bay Area. Journal of Environmental Management, 2022, 320: 115805.
4. Wang, X., Liu, L., Zhang, S., Gao, C.*. Dynamic simulation and comprehensive evaluation of the water resources carrying capacity in Guangzhou city, China. Ecological Indicators, 2022, 135: 108528.
5. Gao, C., Guan, X.J., Booij, M.J., Meng, Y., Xu, Y.P. A new framework for a multi-site stochastic daily rainfall model: Coupling a univariate Markov chain model with a multi-site rainfall event model. Journal of Hydrology, 2021, 598: 126478.
6. Gao, C., Booij, M.J., Xu, Y.P. Assessment of extreme flows and uncertainty under climate change: disentangling the uncertainty contribution of representative concentration pathways, global climate models and internal climate variability. Hydrology and Earth System Sciences, 2020, 24(6): 3251-3269.
7. Gao, C., Booij, M.J., Xu, Y.P. Development and hydrometeorological evaluation of a new stochastic daily rainfall model: coupling Markov chain with rainfall event model. Journal of Hydrology, 2020, 589: 125337.
8. Gao, C., Booij, M.J., Xu, Y.P. Impacts of climate change on characteristics of daily‐scale rainfall events based on nine selected GCMs under four CMIP5 RCP scenarios in Qu River basin, east China. International Journal of Climatology, 2020, 40(2): 887-907.
9. Gao, C., He, Z.G., Pan, S.L., Xuan, W.D., Xu, Y.P. Effects of climate change on peak runoff and flood levels in Qu River Basin, East China. Journal of Hydro-Environment Research, 2020, 28: 34-47.
10. Gao, C., Liu, L., Ma, D., He, K.Q., Xu, Y.P. Assessing responses of hydrological processes to climate change over the southeastern Tibetan Plateau based on resampling of future climate scenarios. Science of the Total Environment, 2019, 664: 737-752.
11. Gao, C., Xu, Y.P., Zhu, Q., Bai, Z.X., Liu, L. Stochastic generation of daily rainfall events: A single-site rainfall model with Copula-based joint simulation of rainfall characteristics and classification and simulation of rainfall patterns. Journal of Hydrology, 2018, 564: 41-58.
12. Liu, L., Gao, C., Zhu, Q., Xu, Y.P. Evaluation of TIGGE Daily Accumulated Precipitation Forecasts over the Qu River Basin, China. Journal of Meteorological Research, 2019, 33(4): 747-764.
13. Liu, L., Gao, C., Xuan, W.D., Xu, Y.P. Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble methods in Lanjiang Basin, Southeast China. Journal of Hydrology, 2017, 554: 233-250.
14. Tang, X., Fu, G., Zhang, S., Gao, C., Wang, G., Bao, Z., Liu, Y., Liu, C., Jin, J. Attribution of climate change and human activities to streamflow variations with a posterior distribution of hydrological simulations. Hydrology and Earth System Sciences, 2022, 26(20): 5315-5339.
15. Xie, J.K., Xu, Y.P., Gao, C., Xuan, W.D., Bai, Z.X. Total basin discharge from GRACE and Water balance method for the Yarlung Tsangpo River basin, Southwestern China. Journal of Geophysical Research: Atmospheres, 2019, 124(14): 7617-7632.
16. Tang, X.P., Zhang, J.Y., Gao, C., Ruben, G.B., Wang, G.Q. Assessing the uncertainties of four precipitation products for swat modeling in Mekong River basin. Remote Sensing, 2019, 11(3): 304.
17. Ma, D., Wang, T.Y, Gao, C., Pan, S.L., Sun, Z.L., Xu, Y.P. Potential evapotranspiration changes in Lancang River Basin and Yarlung Zangbo River Basin, southwest China. Hydrological Sciences Journal, 2018, 63(11): 1653-1668.
18. Xu, Y.P., Pan, S.L., Gao, C., Fu, G.T., Chiang, Y.M. Historical pan evaporation changes in the Qiantang River basin, east China. International Journal of Climatology, 2016, 36(4): 1928-1942.
19. Zhu, Q., Xu, X., Gao, C., Ran, Q.H., Xu, Y.P. Qualitative and quantitative uncertainties in regional rainfall frequency analysis. Journal of Zhejiang University-SCIENCE A, 2015, 16(3): 194-203.
20. Zhu, Q., Zhang, X.J., Ma, C., Gao, C., Xu, Y.P. Investigating the uncertainty and transferability of parameters in SWAT model under climate change. Hydrological Sciences Journal, 2016, 61(5): 914-930.
21. 刘磊,高超,王志刚,王晓艳,章四龙,陈娜.基于非线性相关性和复杂网络的径流相似性分区.水科学进展, 2022, 33(03): 442-451.
22. 高超,文化,宣伟栋,刘莉,许月萍.基于分段三伽玛分布的降雨偏差纠正方法.水科学进展, 2018, 29(02): 169-178.
23. 高超,朱聪,泮苏莉,刘莉,许月萍.不同类型洪水过程线的随机模拟.应用基础与工程科学学报, 2018, 26(04): 767-779.
24. 高超,刘莉,王紫霞,许月萍.黄河唐乃亥以上流域降雨偏差纠正方法研究.水力发电学报, 2018, 37(09): 29-39.
# 代表共同第一作者
1. 高超，许月萍，泮苏莉，马迪. 一种基于分段思想的降雨偏差纠正方法, 国家发明专利，授权号：ZL201711005720.7，授权时间：2020.12.25.
2. 高超，许月萍. 一种新的降雨事件随机生成方法, 国家发明专利，授权号： ZL201710557548.X，授权时间：2020-6-23.
3. 高超，许月萍. 降雨偏差纠正系统[简称：PBCS]V1.0，登记号：2018SR019657，原始取得，全部权利，取得时间：2017.12.12.