Journal Publications using/involving PAWS (including those without Shen's involvement)

  1. Fang, K*, XY. Ji*, CP. Shen, N. Ludwig, P. Godfrey, T. Mahjabin, and C. Doughty, Combining a land surface model with groundwater model calibration to assess the impacts of groundwater pumping in a mountainous desert basin, Advances in Water Resources (2019), 130, 12-28, doi: 10.1016/j.advwatres.2019.05.008
  2. Qiu, H.; Niu, J.; Phanikumar, M. S. Quantifying the Space – Time Variability of Water Balance Components in an Agricultural Basin Using a Process-Based Hydrologic Model and the Budyko Framework. Sci. Total Environ. 2019, 676, 176–189.
  3. Qiu, H.; Niu, J.; Hu, B. X. Quantifying the Integrated Water and Carbon Cycle in a Data-Limited Karst Basin Using a Process-Based Hydrologic Model. Environ. Earth Sci. 2019, 78 (11), 328.
  4. Ji, XY*, L. Lesack, JM. Melack, S. Wang*, WJ. Riley, CP. Shen, Seasonal and inter-annual patterns and controls of hydrological fluxes in an Amazon floodplain lake with a surface-subsurface processes model, Water Resources Research, doi: 10.1029/2018WR023897 (2019, Accepted)
  5. Han Qiu, Phillip Blaen, Sophie Comer‐Warner, David M. Hannah, Stefan Krause, Mantha S. Phanikumar, Evaluating a coupled phenology – surface energy balance model to understand stream – subsurface temperature dynamics in a mixed‐use farmland catchment, Water Resources Research, vol. 55(2), pp. 1675 - 1697, doi: 10.1029 / 2018WR023644 (2019)
  6. XY. Ji* and Shen, CP., The introspective may achieve more: enhancing existing Geoscientific models with native-language emulated structural reflection, Computers and Geosciences, doi: 10.1016/j.cageo.2017.09.014 (2017)
  7. Niu, Jie, CP. Shen, J. Chambers, JM. Melack and WJ. Riley, Interannual Variation in Hydrologic Budgets in an Amazonian Watershed with a Coupled Subsurface - Land Surface Process Model. Journal of Hydrometeorology, doi: 10.1175/JHM-D-17-0108.1 (2017)
  8. Shen, CP., WJ. Riley, KR. Smithgall*, JM. Melack and K. Fang*, The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics, Water Resources Research, (2016), doi: 10.1002/2015WR018086
  9. A. Safaie, C. Dang, H. Qiu, H. Radha and M.S. Phanikumar, Manifold Methods for Assimilating Geophysical and Meteorological Data in Earth System Models and their Components, Journal of Hydrology, vol. 544, pp. 383-396, doi: 10.1016/j.jhydrol. 2016.11.009 (2017)
  10. Pau, GHS, CP. Shen, WJ. Riley and Y. Liu, Accurate and efficient prediction of fine-resolution hydrologic and carbon dynamic simulations from coarse-resolution models, Water Resources Research, (2016), doi10.1002/2015WR017782
  11. Ji, XY*, Shen, CP. and Riley, W.J., Temporal evolution of soil moisture statistical fractal and controls by soil texture and regional groundwater flow. Advances in Water Resources, 86, 155–169. doi:10.1016/j.advwatres.2015.09.027 (2015)
  12. J. Niu and M.S. Phanikumar, Modeling Watershed-Scale Solute Transport Using an Integrated, Process-Based Hydrologic Model with Applications to Bacterial Fate and Transport, Journal of Hydrology, vol. 529(1), pp. 35-48, doi: 10.1016 / j.jhydrol.2015.07.013 (2015)
  13. Niu, J., CP. Shen, S-G Li and M.S. Phanikumar, Quantifying Storage Changes in Regional Great Lakes Watersheds Using a Coupled Subsurface - Land Surface Process Model and GRACE, MODIS Products, Water Resources Research, doi: 10.1002/2014WR015589 (2014)
  14. Riley, W. J. and CP. Shen: Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations, Hydrol. Earth Syst. Sci., 18(7), 2463–2483, doi:10.5194/hess-18-2463-2014 (2014).
  15. Shen, CP., J. Niu and K. Fang*, Quantifying the Effects of Data Integration Algorithms on the Outcomes of a Subsurface - Land Surface Processes Model, Environmental Modelling & Software., doi: 10.1016/j.envsoft.2014.05.006 (2014)
  16. Maxwell, RM.*, M. Putti, SB. Meyerhoff, J. Delfs, I. Ferguson, V. Ivanov, J. Kim, O. Kolditz, S. Kollet, M. Kumar, S. lopez, J. Niu, C. Paniconi, Y. Park, MS. Phanikumar, CP. Shen, E. Sudicky and M. Sulis, Surface-subsurface model inter-comparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks. Water Resources Research, 50(2), pp. 1531-1439, doi: 10.1002/2013WR013725. (2014)
  17. Shen, CP.*, J. Niu and M.S. Phanikumar, Evaluating Controls on Coupled Hydrologic and Vegetation Dynamics in a Humid Continental Climate Watershed Using a Subsurface - Land Surface Processes Model, Water Resources Research, 49(5), pp. 2552 - 2572, doi: 10.1002/wrcr.20189 (2013)
  18. Shen, CP. and M.S. Phanikumar*, A Process-Based, Distributed Hydrologic Model Based on a Large-Scale Method for Surface - Subsurface Coupling, Advances in Water Resources, 33(12), pp. 1524 - 1541, (2010) DOI: 10.1016/j.advwatres.2010.09.002


(Other Publications from the group)

*: Corresponding author



  1. Shen CP., WJ Riley and XY Ji, Investigating soil moisture spatial scaling using Reduced Order Models and analysis of soil moisture fractal patterns, poster, DoE Earth System Modeling (ESM) PI meeting, May 2014
  2. Riley, WJ and CP. Shen, Predicting Fine-Scale Watershed-Scale Soil Moisture Heterogeneity Using Surrogate and Coarse Model Simulations, AGU Fall Meeting, San Francisco, Dec 2014.
  3. Shen CP. Integrating Water, Carbon and Nitrogen: Evaluating the Coupling Strengths and Mutual Influences, Penn State Water Colloquium, Jan 2013.
  4. Shen CP., W.J. Riley, Improving CLM hydrology with an efficient 3D surface-subsurface model, PAWS, and examining hydrologic scaling issues, CESM Workshop, Land Model Working Group Meeting, Breckenridge, CO (Oral Presentation, 2012)
  5. Shen, CP. and M.S. Phanikumar A Process-Based, Distributed Hydrologic Model Based on a Large-Scale Method for Surface – Subsurface Coupling, AGU Fall Meeting, San Francisco, Dec 13-17 (Oral presentation, 2010)