Publications by Author

Authors who are active project participants

  • Katrina E. Bennett

    2022

    • Bennett, Katrina E., et al. “Spatial Patterns of Snow Distribution for Improved Earth System Modelling in the Arctic”. The Cryosphere, 2022, https://doi.org/https://doi.org/10.5194/tc-2021-341.

    2021

    • Harp, Dylan R., et al. “New Insights into the Drainage of Inundated Ice-Wedge Polygons Using Fundamental Hydrologic Principles”. The Cryosphere, vol. 15, no. 8, 2021, pp. 4005-29, https://doi.org/10.5194/tc-15-4005-2021.

    2019

    • Bennett, Katrina E., et al. “Using MODIS Estimates of Fractional Snow Cover Area to Improve Streamflow Forecasts in Interior Alaska”. Hydrology and Earth System Sciences, vol. 23, no. 5, 2019, pp. 2439-5, https://doi.org/10.5194/hess-23-2439-2019.
  • W. Robert Bolton

    2024

    • Wang, Chen, et al. “Local-Scale Heterogeneity of Soil Thermal Dynamics and Controlling Factors in a Discontinuous Permafrost Region”. Environmental Research Letters, vol. 19, 2024, https://doi.org/10.1088/1748-9326/ad27bb .

    2022

    • Bennett, Katrina E., et al. “Spatial Patterns of Snow Distribution for Improved Earth System Modelling in the Arctic”. The Cryosphere, 2022, https://doi.org/https://doi.org/10.5194/tc-2021-341.

    2020

    • Iversen, Colleen M., et al. “Building a Culture of Safety and Trust in Team Science”. Eos, vol. 101, 2020, https://doi.org/10.1029/2020EO143064.
    • Euskirchen, Eugénie S., et al. “Co‐producing Knowledge: The Integrated Ecosystem Model for Resource Management in Arctic Alaska”. Frontiers in Ecology and the Environment, vol. 18, no. 1, 2020, pp. 447-55, https://doi.org/10.1002/fee.2176.

    2015

    • Lara, Mark J., et al. “Polygonal Tundra Geomorphological Change in Response to Warming Alters Future CO2 and CH4 Flux on the Barrow Peninsula”. Global Change Biology, vol. 21, no. 4, 2015, pp. 1634-51, https://doi.org/10.1111/gcb.12757.
  • Terri Velliquette

    2015

    • Devarakonda, Ranjeet, et al. “Use of a Metadata Documentation and Search Tool for Large Data Volumes: The NGEE Arctic Example”. 2015 IEEE International Conference on Big Data (Big Data), 2015, https://doi.org/10.1109/BigData.2015.7364086.