Hongyi Li
Assistant Professor, Ph.D.
Ph.D 2010, University of Illinois at Urbana-Champaign; M.E. 2003, Tsinghua University; B.E 2000, Tsinghua University. Hydrological and biogeochemical modeling and analysis at the watershed and larger scales in view of land as hierarchical watersheds and river systems with intertwined natural and societal functions. Specific interests include developing novel modeling and data analysis tools to understand lateral transport of water, energy and biogeochemistry fluxes across land surface and through river systems under climate and human-induced changes; pursuing the understanding and representing of two-way interactions and feedbacks between Human and Earth Systems within the climate-water-energy-environment nexus.
Professional Services and Awards
- Associate Editor, Stochastic Environmental Research & Risk Assessment (Springer), 2016-present
- Co-organizer, international workshop on “Hydro-Biogeochemical Processes: Mechanisms, Coupling and Impact”, Oct. 27-29, 2015, Wuhan China
- Chair, IAHS working group on “Changing biogeochemistry of aquatic systems in the Anthropocene”, 2014-present
- Lead guest editor, special issue on “Catchment Co-evolution: Space-Time Patterns and Functional Controls” at Hydro. and Earth Sys. Sci., 2014-2015
- Proposer, special issue on “Emergent aquatic carbon-nutrient dynamics as products of hydrological, biogeochemical, and ecological interactions” at Water Resour. Res., 2015-2016
- Editor’s Choice Award (co-author), Water Resources Research, 2015
- Exceptional Contribution Award, 2015, Energy and Environment Directorate, Pacific Northwest National Lab
- Outstanding performance award, 2011, 2012, Energy and Environment Directorate, Pacific Northwest National Lab
Funded Projects
- Battelle Memorial Institute, “Developing a new reservoir water temperature module within the IMMM framework”, 2016-2018, PI
- Battelle Memorial Institute, “Adding MOSART-sediment and MOSART-BGC into ACME”, 2016-2017, PI
- Battelle Memorial Institute, “Enhancing the Representation of River Dynamics in GCAM Hydrology”, 2016-2018, PI
- DOE project, “Accelerated Climate Modeling for Energy”, 2014-2017, Co-I.
- DOE project, “Next Generation Ecosystem Experiments – Tropics”, 2015-2018, Co-I.
- DOE Science Focus Area project, “Integrating Human and Earth System Dynamics”, 2016-2018, key personnel.
- DOE Science Focus Area project, “High Resolution Climate Modeling and Water Cycle Variability and Extremes”, 2013-2015, Co-I.
- PNNL Lab Directed Research and Development project, “Developing the Next Generation Biogeochemical Module for Earth System Models”, 2013-2015, Co-I
- PNNL Lab Directed Research and Development project, “Integration of Water in iRESM”, 2013-2014, Co-I
Peer Reviewed Publications
Moges EM*, Y Demissie, and H Li (2016), Moges EM*, Y Demissie, and H Li (2016), Hierarchical mixture of experts and diagnostic modeling approach to reduce hydrologic model structural uncertainty, Water Res. Res., 52(4), doi: 10.1002/2015WR018266
Li S, L Xiong*, H Li, LYR Leung, and Y Demissie (2016), Attributing runoff changes to climate variability and human activities: Uncertainty analysis using four monthly water balance models, Stochastic Environmental Research and Risk Assessment, 30(1), doi: 10.1007/s00477-015-1083-8
Ye S, H Li*, S Li, LYR Leung, Y Demissie, Q Ran, and G Blschl (2015), Vegetation regulation on streamflow intra-annual variability by adaption to climate variations, Geophys. Res. Lett., 42, doi:10.1002/2015GL066396.
Li, H.-Y.*, L. Ruby Leung, T. Tesfa, N. Voisin, M. Hejazi, L. Liu, Y. Liu, J. Rice, H. Wu, and X. Yang (2015), Modeling stream temperature in the Anthropocene: An earth system modeling approach, J. Adv. Model. Earth Syst., 7, doi:10.1002/2015MS000471.
Hejazi MI*, N Voisin, L Liu, LM Bramer, DC Fortin, JE Hathaway, M Huang, GP Kyle, LYR Leung, H Li, Y Liu, PL Patel, TC Pulsipher, JS Rice, TK Tesfa, CR Vernon, and Y Zhou (2015), 21st century US emissions mitigation increases water stress more than the climate change it is mitigating, Proceedings of National Academy of Science, 112(34): 10635–10640, doi: 10.1073/pnas.1421675112
Zhou Y*, MI Hejazi, SJ Smith, JA Edmonds, H Li, LE Clarke, KV Calvin, and AM Thomson (2015), A Comprehensive View of Global Potential for Hydro-generated Electricity, Energy and Environmental Science, 8(9):2622-2633, DOI: 10.1039/C5EE00888C
Yang X, C Liu*, Y Fang, R Hinkle, H Li, VL Bailey, and B Bond-Lamberty (2015), Simulations of Ecosystem Hydrological Processes Using a Unified Multi-Scale Model, Ecological Modelling, 296:93-101. doi:10.1016/j.ecolmodel.2014.10.032
Li, H.*, L. R. Leung, A Getirana, M Huang, H Wu, Y Xu, J Guo and N Voisin (2015), Evaluating Global Streamflow Simulations by a Physically-based Routing Model Coupled with the Community Land Model, J. of Hydromet., 16(2):948-971, doi: 10.1175/JHM-D-14-0079.1
Fang Y*, C Liu, M Huang, H Li, and LYR Leung (2015), Steady state estimation of soil organic carbon using satellite-derived canopy leaf area index, Journal of Advances in Modeling Earth Systems, 6(4):1049-1064, doi: 10.1002/2014MS000331
Li H*, M Sivapalan, F Tian, and C Harman (2014), Functional approach to exploring climatic and landscape controls of runoff generation. 1. Behavioral constraints on runoff volume, Water Resour. Res., 50(12):9300-9322, doi: 10.1002/2014WR016307.
Li H*, and M Sivapalan (2014), Functional approach to exploring climatic and landscape controls on runoff generation. 2. Timing of runoff storm response, Water Resour. Res., 50(12):9323-9342, doi: 10.1002/2014WR016308.
Ye S, H Li, M Huang, M Ali, G Leng, LYR Leung, S Wang, and M Sivapalan* (2014), Subsurface Stormflow Parameterization for Land Surface Models: Derivation from Regional Analysis of Streamflow Recession Curves, J. of Hydrology, 519, 670-682.
Ali M, S Ye, H Li, M Huang, LYR Leung, A Fiori, and M Sivapalan* (2014), Subsurface Stormflow Parameterization for Land Surface Models: Up-scaling from Physically Based Numerical Simulations at Hillslope Scale, J. of Hydrology, 519, 683-698.
Tesfa, T. K., H. Li*, L. R. Leung, M. Huang, Y. Ke, Y. Sun and Y. Liu (2014), A subbasin-based framework to represent land surface processes in an earth system model, Geosci. Model Dev.,7 (3), 947-963, 2014
Guo, J., H. Li*, L. R. Leung, S. Guo, P. Liu, and M. Sivapalan (2014), Links between flood frequency and annual water balance behaviors: A basis for similarity and regionalization, Water Resour. Res., 50, doi:10.1002/2013WR014374.
Wu H.*, R. F. Adler, Y. Tian, G. J. Huffman, H. Li and J. Wang (2014), Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model, Water Resour. Res., 50(3):2693–2717, doi:10.1002/2013WR014710 (AGU EOS featured article, 2015 Editor’s Choice Award).
Tesfa, T. K.*, L. R. Leung, M. Huang, H. Li, N. Voisin and M. Wigmosta (2014), Scalability of grid-and subbasin-based land surface modeling approaches for hydrologic simulations, J. Geog. Res. Atmosphere, DOI: 10.1002/2013JD020493
Kraucunas, I.*, L. Clarke, J. Dirks, J. Hathaway, M. Hejazi, K. Hibbard, M. Huang, C. Jin, M. Kintner-Meyer, K. K. van Dam, L. R. Leung, H. Li, R. Moss, M. Peterson, J. Rice, M. Scott, A. Thomson, N. Voisin, T. West (2014), Investigating the nexus of climate, energy, water, and land at decision-relevant scales: the Platform for Regional Integrated Modeling and Analysis (PRIMA), Climate Change, 1-16, doi:10.1007/s10584-014-1064-9
Fang, Y.*, M. Huang, C. Liu, H. Li, and L. R. Leung (2013), A generic biogeochemical module for Earth system models: Next Generation BioGeoChemical Module (NGBGC), version 1.0, Geosci. Model Dev., 6, no. 6 (2013): 1977-1988.
Voisin, N*, MI Hejazi, L Liu, TK Tesfa, H Li, M Huang, Y Liu, and LYR Leung (2013), One-way coupling of an integrated assessment model and a water resources model: evaluation and implications of future changes over the U.S. Midwest, Hydro. and Earth Sys. Sci., doi:10.5194/hess-17-4555-2013, 2013.
Voisin, N*, H Li, DL Ward, M Huang, MS Wigmosta, and LYR Leung (2013), On an improved sub-regional water resources management representation for integration into earth system models, Hydro. and Earth Sys. Sci., 17(9):3605-3622. doi:10.5194/hess-17-3605-2013
Li, H.*, M. S. Wigmosta, H. Wu, M. Huang, Y. Ke, A. M. Coleman, and L. R. Leung (2013), A physically based runoff routing model for land surface and earth system models, J. of Hydromet., 14(3):808-828. doi:10.1175/JHM-D-12-015.1
Ke Y., LYR Leung*, M Huang, and H Li (2013), Enhancing the Representation of Subgrid Land Surface Characteristics in Land Surface Models, Geosci. Model Dev., 6:1609-1622. doi:10.5194/gmd-6-1609-2013
Ke Y., LYR Leung*, M Huang, AM Coleman, H Li, and MS Wigmosta (2012), Development of High Resolution Land Surface Parameters for the Community Land Model. Geosci. Model Dev., 5(6):1341-1362. doi:10.5194/gmd-5-1341-2012
Wu, H.*, J. S. Kimball, H. Li, M. Huang, L. R. Leung, and R. F. Adler (2012), A New Global River Network Database for Macroscale Hydrologic modeling, Water Res. Res., 48:W09701. doi:10.1029/2012WR012313
Ye, S., C. Tim, M. Sivapalan*, N. Basu, S. Rao, H. Li, and S. Wang (2012), Dissolved Nutrient Removal Dynamics in River Networks: A Modeling Investigation of Transient Flow and Scale Effects, Water Res. Res., 48:doi:10.1029/2011WR010508
Li, H.*, M. Sivapalan and F. Tian (2012), A Comparative Diagnostic Study of Runoff Generation Patterns in DMIP2 Basins: Blue River and Illinois River, J. of Hydrology, 418/419, 90-109.
Tian, F.*, H. Li and M. Sivapalan (2012), Switching Pattern of Runoff Generation in Blue River Basin, J. of Hydrology, 418/419, 136-149.
Li, H., M. Huang*, M. S. Wigmosta, Y. Ke, A. M. Coleman and L.Y. R. Leung (2011), Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed, J. Geo. Res. Atmosphere, 116, D24, doi:10.1029/2011JD016276, 2011
Li, H.* and M. Sivapalan (2011), Effect of Spatial Heterogeneity of Runoff Generation Mechanisms on the Scaling Behavior of Event Runoff Responses in a Natural River Basin, Water Res. Res., 47: W00H08. doi: 10.1029/2010WR009712
Li, H.*, M. Sivapalan, P. Kalita, F. Tian and D. Liu (2010), Water and nutrient balances in a large tile-drained agricultural catchment: a distributed modeling study, Hydro. and Earth Sys. Sci., 14:2259-2275. doi:10.5194/hess-14-2259-2010