• Numerical methods on geosciences

• Hydrological response under stress of climate and landuse change from watershed to continental scale.

• Advance deep learning and statistical downscaling modeling in hydrology. 

• Spatial heterogeneity and homogeneity in runoff, evaporation, subsurface fluxes and in their sensitivity to their controls (e.g. snow fall regime, aridity, reaction coefficients).

• High-performance/parallel computing in hydrologic models.

• Coupled Nature-Human system modeling.

• Pennsylvania State University Water Resource Engineering Ph.D. 2017 

  Computational Science (Ph.D minor)   

• University of Chinese Academy of Sciences Remote Sensing M.S. 2009

• Lanzhou University Geography Information System B.S. 2005

• 2020 - Present Associate Professor Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences

• 2017 - 2020 Postdoctoral Researcher University of California, Davis (Davis, CA) 

• 2012 - 2017 Research Assistant Pennsylvania State University (University Park, PA)

• Shu, L., Ullrich, P. A., and Duffy, C. J.: Simulator for Hydrologic Unstructured Domains (SHUD v1.0): numerical modeling of watershed hydrology with the finite volume method (2020), 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., …, 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., Dugan, H. A., Farrell, K. J., 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 

• Shu, L., Nan, Z. (2010). A novel system for near real-time field observation based on Twitter- like services and GSM/SMS network. Journal of Glaciology and Geocryology[J], 32(5). 

• Nan, Z., Shu, L., Zhao, Y., Li, X., & Ding, Y. (2011). Integrated modeling environment and a preliminary application on the Heihe River Basin, China. Science China Technological Sciences, 54(8), 2145–2156.

• Shu, L., & Xu, Z. (2020). China’s different shades of greening. Nature, 577(7788), 29–29. 

• Shu, L. Careless virus names stoke sinophobia. Nature 578, 363 (2020).