Publications

Displaying 61 - 80 of 86
By year of publication, then alphabetical by title
  1. Dafflon, Baptiste, et al. “Quantification of Arctic Soil and Permafrost Properties Using Ground Penetrating Radar”. 2016 16th International Conference on Ground Penetrating Radar (GPR) , 2016, https://doi.org/10.1109/ICGPR.2016.7572663.
  2. Ghimire, Bardan, et al. “Representing Leaf and Root Physiological Traits in CLM Improves Global Carbon and Nitrogen Cycling Predictions”. Journal of Advances in Modeling Earth Systems, vol. 8, no. 2, 2016, pp. 598-13, https://doi.org/10.1002/2015MS000538.
  3. Xu, Xiaofeng, et al. “Reviews and Syntheses: Four Decades of Modeling Methane Cycling in Terrestrial Ecosystems”. Biogeosciences, vol. 13, no. 12, 2016, pp. 3735-5, https://doi.org/10.5194/bg-13-3735-2016.
  4. Zhu, Qing, et al. “Root Traits Explain Observed Tundra Vegetation Nitrogen Uptake Patterns: Implications for Trait-Based Land Models”. Journal of Geophysical Research: Biogeosciences, vol. 121, no. 12, 2016, pp. 3101-12, https://doi.org/10.1002/2016JG003554.
  5. Cable, William L., et al. “Scaling-up Permafrost Thermal Measurements in Western Alaska Using an Ecotype Approach”. The Cryosphere, vol. 10, no. 5, 2016, pp. 2517-32, https://doi.org/10.5194/tc-10-2517-2016.
  6. Farquharson, Louise M., et al. “Spatial Distribution of Thermokarst Terrain in Arctic Alaska”. Geomorphology, vol. 273, 2016, pp. 116-33, https://doi.org/10.1016/j.geomorph.2016.08.007.
  7. Tang, Jinyun Y., and William J. Riley. “Technical Note: A Generic Law-of-the-Minimum Flux Limiter for Simulating Substrate Limitation in Biogeochemical Models”. Biogeosciences, vol. 13, no. 3, 2016, pp. 723-35, https://doi.org/10.5194/bg-13-723-2016.
  8. Walker, Donald A., et al. “The Alaska Arctic Vegetation Archive (AVA-AK)”. Phytocoenologia, vol. 46, no. 2, 2016, pp. 221-9, https://doi.org/10.1127/phyto/2016/0128.
  9. Sjöberg, Ylva, et al. “Thermal Effects of Groundwater Flow through Subarctic Fens: A Case Study Based on Field Observations and Numerical Modeling”. Water Resources Research, vol. 52, no. 3, 2016, pp. 1591-06, https://doi.org/10.1002/2015WR017571.
  10. McGuire, David, et al. “Variability in the Sensitivity Among Model Simulations of Permafrost and Carbon Dynamics in the Permafrost Region Between 1960 and 2009”. Global Biogeochemical Cycles, vol. 30, no. 7, 2016, pp. 1015-37, https://doi.org/10.1002/2016GB005405.
  11. Yang, Ziming, et al. “Warming Increases Methylmercury Production in an Arctic Soil”. Environmental Pollution, vol. 214, 2016, pp. 504-9, https://doi.org/10.1016/j.envpol.2016.04.069.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. Bouskill, Nicholas J., et al. “Meta-Analysis of High-Latitude Nitrogen-Addition and Warming Studies Implies Ecological Mechanisms Overlooked by Land Models”. Biogeosciences, vol. 11, no. 23, 2014, pp. 6969-83, https://doi.org/10.5194/bg-11-6969-201410.5194/bg-11-6969-2014-supplement.