Chaopeng Shen
Chaopeng Shen
Associate Professor of Civil Engineering, Pennsylvania State University
Verified email at - Homepage
Cited by
Cited by
An investigation of the effect of pore scale flow on average geochemical reaction rates using direct numerical simulation
S Molins, D Trebotich, CI Steefel, C Shen
Water Resources Research 48 (3), 2012
Improving the representation of hydrologic processes in Earth System Models
MP Clark, Y Fan, DM Lawrence, JC Adam, D Bolster, DJ Gochis, ...
Water Resources Research 51 (8), 5929-5956, 2015
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
S Fatichi, ER Vivoni, FL Ogden, VY Ivanov, B Mirus, D Gochis, ...
Journal of Hydrology 537, 45-60, 2016
Surface‐subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks
RM Maxwell, M Putti, S Meyerhoff, JO Delfs, IM Ferguson, V Ivanov, J Kim, ...
Water resources research 50 (2), 1531-1549, 2014
A process-based, distributed hydrologic model based on a large-scale method for surface–subsurface coupling
C Shen, MS Phanikumar
Advances in Water Resources 33 (12), 1524-1541, 2010
Pore-scale controls on calcite dissolution rates from flow-through laboratory and numerical experiments
S Molins, D Trebotich, L Yang, JB Ajo-Franklin, TJ Ligocki, C Shen, ...
Environmental science & technology 48 (13), 7453-7460, 2014
A transdisciplinary review of deep learning research and its relevance for water resources scientists
C Shen
Water Resources Research 54 (11), 8558-8593, 2018
Evaluating controls on coupled hydrologic and vegetation dynamics in a humid continental climate watershed using a subsurface‐land surface processes model
C Shen, J Niu, MS Phanikumar
Water Resources Research 49 (5), 2552-2572, 2013
Adaptive mesh refinement based on high order finite difference WENO scheme for multi-scale simulations
C Shen, JM Qiu, A Christlieb
Journal of Computational Physics 230 (10), 3780-3802, 2011
Estimating longitudinal dispersion in rivers using Acoustic Doppler Current Profilers
C Shen, J Niu, EJ Anderson, MS Phanikumar
Advances in Water Resources 33 (6), 615-623, 2010
High-resolution simulation of pore-scale reactive transport processes associated with carbon sequestration
D Trebotich, MF Adams, S Molins, CI Steefel, C Shen
Computing in Science & Engineering 16 (6), 22-31, 2014
Evaluating the impacts of land use changes on hydrologic responses in the agricultural regions of Michigan and Wisconsin
AP Nejadhashemi, C Shen, BJ Wardynski, PS Mantha
2010 Pittsburgh, Pennsylvania, June 20-June 23, 2010, 1, 2010
Prolongation of SMAP to spatiotemporally seamless coverage of continental US using a deep learning neural network
K Fang, C Shen, D Kifer, X Yang
Geophysical Research Letters 44 (21), 11,030-11,039, 2017
Evaluating bacteriophage P22 as a tracer in a complex surface water system: the Grand River, Michigan
C Shen, MS Phanikumar, TT Fong, I Aslam, SP McElmurry, SL Molloy, ...
Environmental science & technology 42 (7), 2426-2431, 2008
Hillslope hydrology in global change research and Earth system modeling
Y Fan, M Clark, DM Lawrence, S Swenson, LE Band, SL Brantley, ...
Water Resources Research 55 (2), 1737-1772, 2019
Quantifying storage changes in regional Great Lakes watersheds using a coupled subsurface‐land surface process model and GRACE, MODIS products
J Niu, C Shen, SG Li, MS Phanikumar
Water Resources Research 50 (9), 7359-7377, 2014
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
C Shen, E Laloy, A Elshorbagy, A Albert, J Bales, FJ Chang, S Ganguly, ...
Hydrology and Earth System Sciences (Online) 22 (11), 2018
Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations
WJ Riley, C Shen
Hydrology and Earth System Sciences 18 (7), 2463-2483, 2014
An efficient space-fractional dispersion approximation for stream solute transport modeling
C Shen, MS Phanikumar
Advances in water resources 32 (10), 1482-1494, 2009
Quantifying the effects of data integration algorithms on the outcomes of a subsurface–land surface processes model
C Shen, J Niu, K Fang
Environmental modelling & software 59, 146-161, 2014
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