Publications

Fiolleau, Sylvain, et al. “Insights on Seasonal Solifluction Processes in Warm Permafrost Arctic Landscape Using a Dense Monitoring Approach across Adjacent Hillslopes”. Environmental Research Letters, vol. 19, 2024, https://doi.org/10.1088/1748-9326/ad28dc.

Huo, X, et al. “Integrating State Data Assimilation and Innovative Model Parameterization Reduces Simulated Carbon Uptake in the Arctic and Boreal Region”. Journal of Geophysical Research: Biogeosciences , vol. 129, 2024, https://doi.org/10.1029/2024JG008004 .

Liu, Yanlan, et al. “Large Divergence of Projected High Latitude Vegetation Composition and Productivity Due To Functional Trait Uncertainty”. Earth’s Future , vol. 12, 2024, https://doi.org/10.1029/2024EF004563.

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 .

Crumley, Ryan, et al. “Snow Distribution Patterns Revisited: A Physics-Based and Machine Learning Hybrid Approach to Snow Distribution Mapping in the Sub-Arctic”. Water Resources Research, vol. 60, 2024, https://doi.org/10.1029/2023WR036180.

Berner, Logan T. “The Arctic Plant Aboveground Biomass Synthesis Dataset”. Scientific Data, vol. 11, 2024, https://doi.org/10.1038/s41597-024-03139-w.

Renner, Caleb, et al. “The Next-Generation Ecosystem Experiment Arctic Rainfall Simulator: A Tool to Understand the Effects of Changing Rainfall Patterns in the Arctic”. Hydrology Research, vol. 55, 2024, https://doi.org/10.2166/nh.2023.146.

Abolt, Charles J., et al. “Topography Controls Variability in Circumpolar Permafrost Thaw Pond Expansion”. Journal of Geophysical Research: Earth Surface , vol. 129, 2024, https://doi.org/10.1029/2024JF007675.

Yuan, Fengming, et al. “An Ultrahigh-Resolution E3SM Land Model Simulation Framework and Its First Application to the Seward Peninsula in Alaska”. Journal of Computational Science, vol. 73, 2023, https://doi.org/10.1016/j.jocs.2023.102145.

Boike, Julia, et al. “Arctic Permafrost”. Encyclopedia of Soils in the Environment, Elsevier, 2023, pp. 410-8, https://doi.org/10.1016/b978-0-12-822974-3.00141-5.

Rowland, Joel. “Drainage Network Response to Arctic Warming”. Nature Communications, vol. 14, 2023, https://doi.org/10.1038/s41467-023-40796-8.

Painter, Scott L., et al. “Drying of Tundra Landscapes Will Limit Subsidence-Induced Acceleration of Permafrost Thaw”. Proceedings of the National Academy of Sciences, vol. 120, no. 8, 2023, https://doi.org/10.1073/pnas.2212171120.

Conroy, Nathan A., et al. “Environmental Controls on Observed Spatial Variability of Soil Pore Water Geochemistry in Small Headwater Catchments Underlain With Permafrost”. The Cryosphere, vol. 17, no. 17, 2023, https://doi.org/ttps://doi.org/10.5194/tc-17-3987-2023.

Uhlemann, Sebastian, et al. “Estimating Permafrost Distribution Using Co-Located Temperature and Electrical Resistivity Measurements”. Geophysical Research Letters, vol. 50, 2023, https://doi.org/10.1029/2023GL103987.

Thaler, Evan A., et al. “Estimating Snow Cover from High-Resolution Satellite Imagery by Thresholding Blue Wavelengths”. Remote Sensing of Environment, vol. 285, 2023, p. 113403, https://doi.org/10.1016/j.rse.2022.113403.

Thaler, Evan A., et al. “High-Resolution Maps of Near-Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning”. Earth and Space Science, vol. 10, 2023, https://doi.org/10.1029/2023EA003015.

Weber, Sören E., and Colleen M. Iversen. “How Deep Should We Go to Understand Roots at the Top of the World?”. New Phytologist, 2023, https://doi.org/10.1111/nph.19220.

Zhang, Lijie, et al. “Inhibition of Methylmercury and Methane Formation by Nitrous Oxide in Arctic Tundra Soil Microcosms”. Environmental Science and Technology, vol. 57, no. 14, 2023, pp. 5655-6, https://doi.org/10.1021/acs.est.2c09457.

Yang, Dedi, et al. “Integrating Very-High-Resolution UAS Data and Airborne Imaging Spectroscopy to Map the Fractional Composition of Arctic Plant Functional Types in Western Alaska”. Remote Sensing of Environment, vol. 286, 2023, p. 113430, https://doi.org/10.1016/j.rse.2022.113430.

Shirley, Ian A, et al. “Machine Learning Models Inaccurately Predict Current and Future High-Latitude C Balances”. Environmental Research Letters, vol. 18, no. 1, 2023, p. 014026, https://doi.org/10.1088/1748-9326/acacb2.