Publications

Zhang, Tianqi, et al. “Mapping Wall-to-Wall Fractional Cover of Arctic Tundra Plant Functional Types in Alaska Using 20-M Spatial Resolution Satellite Imagery and Harmonized Plot Observations”. International Journal of Applied Earth Observation and Geoinformation, vol. 144, 2025, https://doi.org/10.1016/j.jag.2025.104892.

Hamm, Alexandra, et al. “Model-Based Analysis of Solute Transport and Potential Carbon Mineralization in a Permafrost Catchment under Seasonal Variability and Climate Change”. EGUsphere, 2025, https://doi.org/10.5194/egusphere-2024-1606.

Orndahl, Kathleen M., et al. “Next Generation Arctic Vegetation Maps: Aboveground Plant Biomass and Woody Dominance Mapped at 30 M Resolution across the Tundra Biome”. Remote Sensing of Environment, vol. 323, 2025, https://doi.org/10.1016/j.rse.2025.114717.

Steckler, Morgan R., et al. “PAVC: The Foundation for a Pan-Arctic Vegetation Cover Database”. Scientific Data, vol. 12, 2025, https://doi.org/10.1038/s41597-025-05326-9.

Tao, Jing, et al. “Permafrost Vulnerability to Climate Change: Understanding Thaw Dynamics and Climate Feedback of Permafrost Degradation”. Environmental Research Letters , vol. 20, 2025, https://doi.org/10.1088/1748-9326/adfc7e.

Hantson, Wouter, et al. “Scaling Arctic Landscape and Permafrost Features Improves Active Layer Depth Modeling”. Environmental Research Ecology, vol. 4 , 2025, https://doi.org/10.1088/2752-664X/ad9f6c.

Yazbeck, Theresia, et al. “Shrub Expansion Can Counteract Carbon Losses From Warming Tundra”. Journal of Geophysical Research: Biogeosciences , vol. 130, 2025, https://doi.org/10.1029/2024JG008721.

Lathrop, Emma, et al. “Shrubs Strongly Influence Snow Properties in Two Subarctic Watersheds”. Permafrost and Periglacial Processes, 2025, https://doi.org/10.1002/ppp.2263.

Freitas, Nancy L., et al. “Substantial and Overlooked Greenhouse Gas Emissions from Deep Arctic Lake Sediment”. Nature Geoscience, vol. 18, 2025, https://doi.org/10.1038/s41561-024-01614-y.

Thoman, Richard L. “The Arctic”. Bulletin of the American Meteorological Society, vol. 106, 2025, https://doi.org/10.1175/BAMS-D-25-0104.1.

Gu, Lianhong, and Bo Gao. “The Ecological Impacts of Dry and Hot Shocks in the Land of Midnight Sun”. Global Change Biology, vol. 31, 2025, https://doi.org/10.1111/gcb.70391.

Gallois, Elise, et al. “Tundra Vegetation Community, Not Microclimate, Controls Asynchrony of above and Belowground Phenology”. Global Change Biology, vol. 31, no. 4, 2025, https://doi.org/10.1111/gcb.70153.

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.