Displaying 241 - 260 of 330
By year of publication, then alphabetical by title
  1. Coon, E. T., et al. “Managing Complexity In Simulations Of Land Surface And Near-Surface Processes”. Environmental Modelling & Software, 2016, pp. 134 - 149.
  2. Langford, Z. L., et al. “Mapping Arctic Plant Functional Type Distributions In The Barrow Environmental Observatory Using Worldview-2 And Lidar Datasets”. Remote Sensing, 2016, p. 733.
  3. Kumar, J., et al. “Modeling The Spatiotemporal Variability In Subsurface Thermal Regimes Across A Low-Relief Polygonal Tundra Landscape”. The Cryosphere, 2016, pp. 2241 - 2274.
  4. Liljedahl, A. K., et al. “Pan-Arctic Ice-Wedge Degradation In Warming Permafrost And Its Influence On Tundra Hydrology”. Nature Geoscience, 2016.
  5. Mackelprang, R., et al. “Permafrost Meta-Omics And Climate Change”. Annual Review Of Earth And Planetary Sciences, 2016, pp. 439-462.
  6. Schädel, C., et al. “Potential Carbon Emissions Dominated By Carbon Dioxide From Thawed Permafrost Soils”. Nature Climate Change, 2016, pp. 950 - 953.
  7. Dafflon, B., et al. “Quantification Of Arctic Soil And Permafrost Properties Using Ground Penetrating Radar”. 2016 16Th International Conference On Ground Penetrating Radar (Gpr) , 2016.
  8. Ghimire, B., et al. “Representing Leaf And Root Physiological Traits In Clm Improves Global Carbon And Nitrogen Cycling Predictions”. Journal Of Advances In Modeling Earth Systems, 2016, pp. 598 - 613.
  9. Xu, X., et al. “Reviews And Syntheses: Four Decades Of Modeling Methane Cycling In Terrestrial Ecosystems”. Biogeosciences, 2016, pp. 3735 - 3755.
  10. Zhu, Q., et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications For Trait-Based Land Models”. Journal Of Geophysical Research: Biogeosciences, 2016, pp. 3101 - 3112.
  11. Cable, W. L., et al. “Scaling-Up Permafrost Thermal Measurements In Western Alaska Using An Ecotype Approach”. The Cryosphere, 2016, pp. 2517 - 2532.
  12. Farquharson, L. M., et al. “Spatial Distribution Of Thermokarst Terrain In Arctic Alaska”. Geomorphology, 2016, pp. 116 - 133.
  13. Tang, J. Y., and W. J. Riley. “Technical Note: A Generic Law-Of-The-Minimum Flux Limiter For Simulating Substrate Limitation In Biogeochemical Models”. Biogeosciences, 2016, pp. 723 - 735.
  14. Walker, D. A., et al. “The Alaska Arctic Vegetation Archive (Ava-Ak)”. Phytocoenologia, 2016, pp. 221 - 229.
  15. Sjöberg, Y., et al. “Thermal Effects Of Groundwater Flow Through Subarctic Fens: A Case Study Based On Field Observations And Numerical Modeling”. Water Resources Research, 2016, pp. 1591-1606.
  16. McGuire, D., et al. “Variability In The Sensitivity Among Model Simulations Of Permafrost And Carbon Dynamics In The Permafrost Region Between 1960 And 2009”. Global Biogeochemical Cycles, 2016, pp. 1015 - 1037.
  17. Yang, Z., et al. “Warming Increases Methylmercury Production In An Arctic Soil”. Environmental Pollution, 2016, pp. 504 - 509.
  18. Xu, X., et al. “A Microbial Functional Group-Based Module For Simulating Methane Production And Consumption: Application To An Incubated Permafrost Soil”. Journal Of Geophysical Research: Biogeosciences, 2015, pp. 1315 - 1333.
  19. Treat, C. C., et al. “A Pan-Arctic Synthesis Of Methane And Carbon Dioxide Production From Anoxic Soil Incubations”. Global Change Biology, 2015, pp. 2787 - 2803.
  20. Koven, C. D., et al. “A Simplified, Data-Constrained Approach To Estimate The Permafrost Carbon–Climate Feedback”. Philosophical Transactions Of The Royal Society A: Mathematical, Physical And Engineering Sciences, 2015.