Publications

Displaying 1 - 12 of 12
By year of publication, then alphabetical by title
  1. Tang, J. Y., and W. J. Riley. “A Total Quasi-Steady-State Formulation Of Substrate Uptake Kinetics In Complex Networks And An Example Application To Microbial Litter Decomposition”. Biogeosciences, 2013, pp. 8329 - 8351.
  2. Skurikhin, A. N., et al. “Arctic Tundra Ice-Wedge Landscape Characterization By Active Contours Without Edges And Structural Analysis Using High-Resolution Satellite Imagery”. Remote Sensing Letters, 2013, pp. 1077 - 1086.
  3. Dafflon, B., et al. “Electrical Conductivity Imaging Of Active Layer And Permafrost In An Arctic Ecosystem, Through Advanced Inversion Of Electromagnetic Induction Data”. Vadose Zone Journal, 2013.
  4. Cunningham, P., et al. “Large-Eddy Simulations Of Air Flow And Turbulence Within And Around Low-Aspect-Ratio Cylindrical Open-Top Chambers”. Journal Of Applied Meteorology And Climatology, 2013, pp. 1716 - 1737.
  5. Painter, S. L., et al. “Modeling Challenges For Predicting Hydrologic Response To Degrading Permafrost”. Hydrogeology Journal, 2013, pp. 221 - 224.
  6. Frampton, A., et al. “Permafrost Degradation And Subsurface-Flow Changes Caused By Surface Warming Trends”. Hydrogeology Journal, 2013, pp. 271 - 280.
  7. Hinzman, L. D., et al. “Preface: Hydrogeology Of Cold Regions”. Hydrogeology Journal, 2013, pp. 1 - 4.
  8. Hubbard, S. S., et al. “Quantifying And Relating Land-Surface And Subsurface Variability In Permafrost Environments Using Lidar And Surface Geophysical Datasets”. Hydrogeology Journal, 2013, pp. 149 - 169.
  9. Wu, Y., et al. “Remote Monitoring Of Freeze–Thaw Transitions In Arctic Soils Using The Complex Resistivity Method”. Vadose Zone Journal, 2013.
  10. Hoffman, F. M., et al. “Representativeness-Based Sampling Network Design For The State Of Alaska”. Landscape Ecology, 2013, pp. 1567 - 1586.
  11. Hinzman, L. D., et al. “Trajectory Of The Arctic As An Integrated System”. Ecological Applications, 2013, pp. 1837 - 1868.
  12. Riley, W. J. “Using Model Reduction To Predict The Soil-Surface C18 Carbon Dioxide Flux: An Example Of Representing Complex Biogeochemical Dynamics In A Computationally Efficient Manner”. Geoscientific Model Development, 2013, pp. 345 - 352.