舒乐乐 男 硕导 中国科学院西北生态环境资源研究院
水文学博士,中国科学院西北生态环境资源研究院副研究员,中国科学院率先行动引才计划(2020-2023)及择优支持(2024-2027)入选者。2017年毕业于美国宾夕法尼亚州立大学(Pennsylvania State University)土木工程系水资源工程专业,副修学位计算科学(Computational Science),2017-2020加州大学戴维斯分校(Department of Land, Air and Water Resources, UC Davis)博士后研究员。EGU模型顶级期刊Geoscientific Model Development主题编辑。
开发了SHUD(Simulator for Hydrologic Unstructured Domains)数值方法水文模型(https://www.shud.xyz)。专注于数值方法的分布式水文模型、“大气-陆面-水文”模型耦合、气候/人类活动对水循环的影响和集成模型耦合研究。
电子邮件: shulele@lzb.ac.cn
通信地址: 兰州市东岗西路320号一号科研楼411
邮政编码: 730000
研究领域
1. 流域水文模型 (Hydrological Modeling)
2. 数值方法模型 (Numerical Methods)
3. 大气-陆面-水文耦合模型 (Coupling Atmosphere-Landsurface-Hydrology Modeling)
4. 深度学习 (Deep Learning)
招生信息
欢迎有志于探索自然科学的同学以联培、客座、科研助理方式加入本团队。
欢迎优秀本科生通过“免试推荐”或者统考方式加入中国科学院西北生态环境资源研究院
招生方向为:
数值方法水文模型
流域水文模型
洪水预报
无观测流域问题
“大气-陆面-水文”耦合模拟
数据挖掘与深度学习
黄河流域水文与水质
寒区水文学,旱区水文学
招生专业
招生方向
教育背景
工作经历
2020.08至今 中国科学院西北生态环境资源研究院, 副研究员
2017.08-2020.08 加州大学戴维斯分校 (University of California, Davis),博士后研究员
2012.05-2017.08 宾夕法尼亚州立大学 (Pennsylvania State University),研究助理
2011.07-2012.05 奥本大学 (Auburn University),研究助理
社会兼职
专利与奖励
专利成果
出版信息
科研文章:
Shu, L., Ullrich, P. A., and Duffy, C. J. (2020): Simulator for Hydrologic Unstructured Domains (SHUD v1.0): numerical modeling of watershed hydrology with the finite volume method, Geosci. Model Dev., 13, 2743–2762, https://doi.org/10.5194/gmd-13-2743-2020
Zhang, B., Yuan, Y., Shu, L., Grosholz, E., Guo, Y., Hastings, A., Cuda, J.P., Zhang, J., Zhai, L. and Qiu, J. (2021), Scaling up experimental stress responses of grass invasion to predictions of continental-level range suitability. Ecology. 2021. https://doi.org/10.1002/ecy.3417.
Yu, X., Xu, Z., Moraetis D., Nikolaidis N., Schwartz F., Zhang Y., Shu L., Duffy C., Liu B., Capturing hotspots of fresh submarine groundwater discharge using a coupled surface–subsurface model. Journal of Hydrology. 598, 2021, https://doi.org/10.1016/j.jhydrol.2021.126356
Ladwig, R., Hanson P., Dugan H., Carey C., Zhang Y., Shu, L., Duffy C., Cobourn, K.(2020). Disentangling the drivers of inter-annual variability in summer hypolimnetic anoxia in a eutrophic lake. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-2020-349
Duan, S., Ullrich, P., Shu, L.(2020). Using Convolutional Neural Networks for Streamflow Projection in California. Frontiers in Water. https://10.3389/frwa.2020.00028
Garijo, D., Khider, D., Ratnakar, V., Gil, Y., Deelman, E., da Silva, R. F., Shu, L., … et al. (2019). An Intelligent Interface for Integrating Climate, Hydrology, Agriculture, and Socioeconomic Models. In Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion (pp. 111–112). New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3308557.3308711
Yu, X., Lamačová, A., Shu, L., Duffy, C., Krám, P., Hruška, J., … Lin, K. (2019). Data rescue in manuscripts: a hydrological modelling study example. Hydrological Sciences Journal, 1–7. https://doi.org/10.1080/02626667.2019.1614593
Ward, N. K., Fitchett, L., Hart, J. A., Shu, L., Stachelek, J., Weng, W., … Weathers, K. C. (2019). Integrating fast and slow processes is essential for simulating human–freshwater interactions. Ambio, 48(10), 1169–1182. https://doi.org/10.1007/s13280-018-1136-6
Cobourn, K. M., Carey, C. C., Boyle, K. J., Duffy, C.,…, Shu, L., … Zhang, Y. (2018). From concept to practice to policy: modeling coupled natural and human systems in lake catchments. Ecosphere, 9(5), e02209. https://doi.org/10.1002/ecs2.2209
舒乐乐, 南卓铜, 基于类Twitter服务的低成本近实时野外监测数据获取系统, 冰川冻土, 2010, 32(5): 976-981
南卓铜,舒乐乐,赵彦博,李新, 丁永建. 集成建模环境研究及其在黑河流域的初步应用. 中国科学E. 2011, 41(8): 1043—1054..
评论文章
Shu, L., & Xu, Z. (2020). China’s different shades of greening. Nature, 577(7788), 29–29. https://doi.org/10.1038/d41586-019-03940-3.
Shu, L. Careless virus names stoke sinophobia. Nature 578, 363 (2020). https://doi.org/10.1038/d41586-020-00458-x.