Lele Shu, Ph.D

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320 Donggang West
Lanzhou, Gansu 730000
shulele@lzb.ac.cn
lele.shu@gmail.com

About Me: Dr. Shu is an associate professor at Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (NIEER, CAS). My research interest is in computational hydrologic model, hydrologic data mining, and integrated Coupled Nature-Human System modeling.

Research Interests

  • Develop and use distributed models to understand the hydrological response from watershed to continental scale, under stress of climate and landuse change.
  • Advance data mining and statistical downscaling modeling in hydrology. Data fusion and data mining on traditional hydrological observations and soft data.
  • 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 watershed modeling.

Education

  • 2012 - 2017, Pennsylvania State University (University Park, Pennsylvania, USA). PhD in Water Resource Engineering, Minor in Computational Science
  • 2006 - 2009, University of Chinese Academy of Sciences (Lanzhou, China). M.S. in Remote Sensing
  • 2001 - 2005, Lanzhou University (Lanzhou, China). B.S in Geography Information System

Appointments

  • 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)

Publications

Non peer-review

Peer-review

  • 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, Geosci. Model Dev., 13, 2743–2762, https://doi.org/10.5194/gmd-13-2743-2020, 2020.

  • 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., 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, 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.

  • Feng, K., Nan, Z., Shu, L., Zhao, Y. (2008) Prototype Development for an Integrated Modeling Environment Based on Plugins. Remote Sensing Technology and Application. 23(5).

Publishing…

  • Shu, L., Ullrich, P., Duffy, C.. rSHUD v1.0: an R package to support Unstructured Domain Modeling in hydrology. Geoscientific Model Development.
  • Zhang, B., Yuan, Y., Shu, L., Grosholz, E., Guo, Y., Zhai, L., Hastings, A., Cuda, J.. Qiu, J..Scaling up from plant stress response in greenhouse to landscape scale suitability for the distribution of an invasive species, Ecology.
  • X. Yu, Z. Xu, D. Moraetis, N. Nikolaidis, Shu, L., et al. Coupled surface-subsurface modeling of fresh submarine groundwater discharge of an island in the Mediterranean Sea. Journal of Hydrology.
  • Ladwig, R., Hanson P., Dugan H., Carey C., Zhang Y., Shu, L, Duffy C., Cobourn, K.. Disentangling the drivers of inter-annual variability in summer hypolimnetic anoxia in a eutrophic lake. Environmental Modelling & Software.
  • Gil, Y., Garijo, D., Khider, D., …, Shu, L..Taming the Complexity of Expert Models to Improve Decision Making, ACM Transactions on Interactive Intelligent Systems.
  • Shu, L., Ullrich, P., Duffy, C.. Quick automated watershed modeling with the Simulator for Hydrologic Unstructured Domains (SHUD): Essential data, simulation, applications and visualization
  • Shu, L., Duffy, C.. Land, water & change: A case study in the Conestoga watershed PA.
  • Shu, L., Duffy, C., French, K., Martha T. D.. Land, water & change at Tikal: Modeling an Ancient Urban Watershed from Empirical Data
  • Shu, L., Duffy, C., Garijo, D., Khider, D., Gil, Y., Automation of Physics-Based, Distributed Hydrologic Models in Developing Countries: From Qualitative Data to Quantitative Decision Making
  • Khandelwal, A., Shu, L., Duffy C., Kumar, V.. Calibration of Physics-Based Hydrologic Models From Remote Sensing
  • Shu, L., Duffy, C., Hydroclimatic Evaluation of Intervention Infrastructure in Developing Countries
  • Shu, L., Duffy, C., Khandelwal, A., Kumar, V.. Meta-models as support for distributed modeling in ungauged catchments

Journal Review

  • Environmental Modeling and Software
  • Journal of Geophysical Research - Atmospheres
  • Elementa: Science of the Anthropocene

Conferences

  • 2020.08, Can numerical hydrological model estimate flood inundation area and depth? Iowa City, Iowa, USA
  • 2019.12, Quick and reproducible automated watershed modeling with the SHUD: Essential data, simulation, applications and visualization, AGU, San Francisco, California, USA
  • 2018.12 Model simulated spatial distribution and the variation of ground water level in
  • Sacramento Watershed, California from 1985 to 2017, AGU, Washington, DC, USA
  • 2018.04 Groundwater and Snow Storage Simulation with PIHM, California Water& Environmental Modeling Forum, Sacramento, California, USA
  • 2017.12 Coupling Cellular Automata Land Use Change with Distributed Hydrologic models, AGU, New Orleans, Louisiana, USA
  • 2015.12 Catchment hydrological change from soil degradation — A model study for assessing urbanization on the terrestrial water cycle AGU, San Francisco, California, USA
  • 2014.12 Reconstructing the role of landuse change on water yield at the Maya urban center Tikal, Guatemala [700-800 AD], AGU, San Francisco, California, USA
  • 2014.10 PIHM and PIHMgis workshop. Global Lake Ecological Observatory Network (GLEON) 16, Orford, Quebec, Canada
  • 2014.09 Green Infrastructure and Stormwater Management SAC Meeting
2013.12 Center for Green Infrastructure and Stormwater Management: Urbanization-driven hydrological process change in Lancaster of Pennsylvania,AGU, San Francisco, California, USA

Research Projects

  • 2019 Knowledge-Guided Machine Learning: A Framework to Accelerate Scientific Discovery (NSF #1934600)
  • 2018 Model Integration through Knowledge-Rich Data and Process Composition (DARPA)
  • 2017 An Integrated Evaluation of the Simulated Hydroclimate System of the Continental US (DOE DE-FOA-0001531)
  • 2017 Advanced Statistical-Dynamical Downscaling Methods and Products for California Electrical System Climate Planning (CEC EPC-16-063)
  • 2015 CNH-L: Linking Landuse Decision Making, Water Quality, and Lake Associations to Understand Human-Natural Feedbacks in Lake Catchments (NSF #1517823 )
  • 2013 Land, Water, and Territory: A 3,000-Year Study of Niche Construction and Cultural Evolution in the Tikal National Park, Guatemala (NSF #1211809)
  • 2012 Hydrologic and Water Quality Modeling for Green Infrastructure (R835142C003)
  • 2008 Simultaneous Remote Sensing and Ground-based Experiment in the Heihe River Basin: Scientific Objectives and Experiment Design
  • 2008 Heihe Watershed Allied Telemetry Experimental Research (HiWATER)
  • 2006 Land and Water Resources in Heihe River Basin Decision Support System for Sustainable Development Based on Scientific Models and Three-dimensional Gaming Experience
  • 2006 GIS-based Hydrology and Water Resources Integrated Modeling Environment Research in Heihe River Basin

Courses

  • Numerical methods in geosciences
  • Geographic Information System
  • Data Mining in R
  • Data structure and algorithm
  • Advance C/C++ programming