Publications

Jan, Ahmad, and Scott L. Painter. “Permafrost Thermal Conditions Are Sensitive to Shifts in Snow Timing”. Environmental Research Letters, vol. 15, no. 8, 2020, p. 084026, https://doi.org/10.1088/1748-9326/ab8ec4.

Lehmann, Johannes, et al. “Persistence of Soil Organic Carbon Caused by Functional Complexity”. Nature Geoscience, vol. 13, no. 8, 2020, pp. 529-34, https://doi.org/10.1038/s41561-020-0612-3.

Schaefer, Kevin M., et al. “Potential Impacts of Mercury Released from Thawing Permafrost”. Nature Communications, vol. 11, no. 1, 2020, https://doi.org/10.1038/s41467-020-18398-5.

Wang, Kang, et al. “Sensitivity Evaluation of the Kudryavtsev Permafrost Model”. Science of The Total Environment, vol. 720, 2020, p. 137538, https://doi.org/10.1016/j.scitotenv.2020.137538.

Andresen, Christian G., et al. “Soil Moisture and Hydrology Projections of the Permafrost Region – a Model Intercomparison”. The Cryosphere, vol. 14, no. 2, 2020, pp. 445-59, https://doi.org/10.5194/tc-14-445-2020.

Bergmann, Joana, et al. “The Fungal Collaboration Gradient Dominates the Root Economics Space in Plants”. Science Advances, vol. 6, no. 27, 2020, https://doi.org/10.1126/sciadv.aba3756.

Andersen, Jeremiah K., et al. “The State of the Climate in 2019: The Arctic”. Bulletin of the American Meteorological Society, vol. 101, no. 8, 2020, pp. S239 - S286, https://doi.org/10.1175/BAMS-D-20-0086.1.

Conroy, Nathan Alec, et al. “Timing and Duration of Hydrological Transitions in Arctic Polygonal Ground from Stable Isotopes”. Hydrological Processes, vol. 34, 2020, pp. 749-64, https://doi.org/10.1002/hyp.13623.

Conroy, Nathan Alec, et al. “Timing and Duration of Hydrological Transitions in Arctic Polygonal Ground from Stable Isotopes”. Hydrological Processes, vol. 34, no. 3, 2020, pp. 749-64, https://doi.org/10.1002/hyp.13623.

Kattge, Jens, et al. “TRY Plant Trait Database – Enhanced Coverage and Open Access”. Global Change Biology, vol. 26, 2020, pp. 119-88, https://doi.org/10.1111/gcb.14904.

Collins, A. D., et al. “UAS LIDAR MAPPING OF AN ARCTIC TUNDRA WATERSHED: CHALLENGES AND OPPORTUNITIES”. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLIV-M-2-2020, 2020, pp. 1-8, https://doi.org/10.5194/isprs-archives-xliv-m-2-2020-1-2020.

Wales, Nathan A., et al. “Understanding the Relative Importance of Vertical and Horizontal Flow in Ice-Wedge Polygons”. Hydrology and Earth System Sciences, vol. 24, no. 3, 2020, pp. 1109-2, https://doi.org/10.5194/hess-24-1109-2020.

Pau, George Shu Heng, et al. “A Reduced-Order Modeling Approach to Represent Subgrid-Scale Hydrological Dynamics for Land-Surface Simulations: Application in a Polygonal Tundra Landscape”. Geoscientific Model Development, vol. 7, no. 5, 2014, pp. 2091-05, https://doi.org/10.5194/gmd-7-2091-2014.

Riley, William J., and Chaopeng Shen. “Characterizing Coarse-Resolution Watershed Soil Moisture Heterogeneity Using Fine-Scale Simulations and Reduced-Order Models”. Hydrology and Earth System Sciences, vol. 18, no. 7, 2014, pp. 2463-8, https://doi.org/10.5194/hess-18-2463-2014.

Painter, Scott L., and Satish Karra. “Constitutive Model for Unfrozen Water Content in Subfreezing Unsaturated Soils”. Vadose Zone Journal, vol. 13, no. 4, 2014, https://doi.org/10.2136/vzj2013.04.0071.

Gangodagamage, Chandana, et al. “Extrapolating Active Layer Thickness Measurements across Arctic Polygonal Terrain Using LiDAR and NDVI Data Sets”. Water Resources Research, vol. 50, no. 8, 2014, pp. 6339-57, https://doi.org/10.1002/2013WR014283.

Dou, Shan, and Jonathan B. Ajo-Franklin. “Full-Wavefield Inversion of Surface Waves for Mapping Embedded Low-Velocity Zones in Permafrost”. GEOPHYSICS, vol. 79, no. 6, 2014, pp. EN107 - EN124, https://doi.org/10.1190/geo2013-0427.1.

Rogers, Alistair, et al. “Improving Representation of Photosynthesis in Earth System Models”. New Phytologist, vol. 204, no. 1, 2014, pp. 12-14, https://doi.org/10.1111/nph.12972.

Moody, Daniela I., et al. “Land Cover Classification in Multispectral Imagery Using Clustering of Sparse Approximations over Learned Feature Dictionaries”. Journal of Applied Remote Sensing, vol. 8, no. 1, 2014, p. 084793, https://doi.org/10.1117/1.JRS.8.084793.

Riley, William J., et al. “Long Residence Times of Rapidly Decomposable Soil Organic Matter: Application of a Multi-Phase, Multi-Component, and Vertically Resolved Model (BAMS1) to Soil Carbon Dynamics”. Geoscientific Model Development, vol. 7, no. 4, 2014, pp. 1335-5, https://doi.org/10.5194/gmd-7-1335-2014.