Publications

Displaying 41 - 60 of 84
By year of publication, then alphabetical by title
  1. 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.
  2. Farquharson, Louise M., et al. “Sub-Aerial Talik Formation Observed across the Discontinuous Permafrost Zone of Alaska”. Nature Geoscience, vol. 15, no. 6, 2022, pp. 475-81, https://doi.org/10.1038/s41561-022-00952-z.
  3. Virkkala, Anna-Maria, et al. “The ABCflux Database: Arctic–boreal CO2 Flux Observations and Ancillary Information Aggregated to Monthly Time Steps across Terrestrial Ecosystems”. Earth System Science Data, vol. 14, no. 1, 2022, pp. 179-08, https://doi.org/10.5194/essd-14-179-2022.
  4. Thoman, Richard L., et al. “The Arctic”. Bulletin of the American Meteorological Society, vol. 103, no. 8, 2022, pp. S257-S306, https://doi.org/10.1175/bams-d-22-0082.1.
  5. Jafarov, Elchin E., et al. “The Importance of freeze–thaw Cycles for Lateral Tracer Transport in Ice-Wedge Polygons”. The Cryosphere, vol. 16, no. 3, 2022, pp. 851-62, https://doi.org/10.5194/tc-16-851-2022.
  6. Frost, GV, et al. “Tundra Greenness”. NOAA Arctic Report Card 2022, 2022, https://doi.org/10.25923/g8w3-6v31.
  7. Zhang, Lijie, et al. “Unravelling Biogeochemical Drivers of Methylmercury Production in an Arctic Fen Soil and a Bog Soil”. Environmental Pollution, vol. 299, 2022, p. 118878, https://doi.org/10.1016/j.envpol.2022.118878.
  8. Abbott, Benjamin W., et al. “We Must Stop Fossil Fuel Emissions to Protect Permafrost Ecosystems”. Frontiers in Environmental Science, vol. 10, 2022, https://doi.org/10.3389/fenvs.2022.889428.
  9. Mekonnen, Zelalem A, et al. “Wildfire Exacerbates High-Latitude Soil Carbon Losses from Climate Warming”. Environmental Research Letters, vol. 17, no. 9, 2022, p. 094037, https://doi.org/10.1088/1748-9326/ac8be6.
  10. Ghimire, Bardan, et al. “A Global Trait-Based Approach to Estimate Leaf Nitrogen Functional Allocation from Observations”. Ecological Applications, vol. 27, no. 5, 2017, pp. 1421-34, https://doi.org/10.1002/eap.1542.
  11. Zhu, Qing, et al. “A New Theory of Plant-Microbe Nutrient Competition Resolves Inconsistencies Between Observations and Model Predictions”. Ecological Applications, vol. 27, no. 3, 2017, pp. 875-86, https://doi.org/10.1002/eap.1490.
  12. Rogers, Alistair, et al. “A Roadmap for Improving the Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 213, no. 1, 2017, pp. 22-42, https://doi.org/10.1111/nph.14283.
  13. Lewin, Keith F., et al. “A Zero-Power Warming Chamber for Investigating Plant Responses to Rising Temperature”. Biogeosciences, vol. 14, no. 18, 2017, pp. 4071-83, https://doi.org/10.5194/bg-14-4071-2017.
  14. Dou, Shan, et al. “An Effective-Medium Model for P-Wave Velocities of Saturated, Unconsolidated Saline Permafrost”. GEOPHYSICS, vol. 82, no. 3, 2017, https://doi.org/10.1190/geo2016-0474.1.
  15. Nicolsky, Dmitry J., et al. “Applicability of the Ecosystem Type Approach to Model Permafrost Dynamics across the Alaska North Slope”. Journal of Geophysical Research: Earth Surface, vol. 122, no. 1, 2017, pp. 50-75, https://doi.org/10.1002/2016JF003852.
  16. Dafflon, Baptiste, et al. “Coincident Aboveground and Belowground Autonomous Monitoring to Quantify Covariability in Permafrost, Soil, and Vegetation Properties in Arctic Tundra”. Journal of Geophysical Research: Biogeosciences, vol. 122, no. 6, 2017, pp. 1321-42, https://doi.org/10.1002/2016JG003724.
  17. Wang, Kang, et al. “Continuously Amplified Warming in the Alaskan Arctic: Implications for Estimating Global Warming Hiatus”. Geophysical Research Letters, vol. 44, no. 17, 2017, pp. 9029-38, https://doi.org/10.1002/2017GL074232.
  18. Langford, Zachary L., et al. “Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion”. 2017 IEEE International Conference on Data Mining Workshops (ICDMW)2017 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2017, https://doi.org/10.1109/ICDMW.2017.48.
  19. Tran, Anh Phuong, et al. “Coupled Land Surface-Subsurface Hydrogeophysical Inverse Modeling to Estimate Soil Organic Content and Explore Associated Hydrological and Thermal Dynamics in an Arctic Tundra”. The Cryosphere, vol. 11, 2017, pp. 2089-0, https://doi.org/10.5194/tc-11-2089-2017.
  20. Strauss, Jens, et al. “Deep Yedoma Permafrost: A Synthesis of Depositional Characteristics and Carbon Vulnerability”. Earth-Science Reviews, vol. 172, 2017, pp. 75-86, https://doi.org/10.1016/j.earscirev.2017.07.007.