NGEE Arctic
Next-Generation Ecosystem Experiments
Advancing the predictive power of Earth system models through understanding
of the structure and function of Arctic terrestrial ecosystems
Publications
Increased Arctic NO3− Availability as a Hydrogeomorphic Consequence of Permafrost Degradation and Landscape Drying." Nitrogen 3, no. 2 (2022): 314-332.
"Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements." Biogeosciences 19, no. 3 (2022): 559-583.
"Spatial patterns of snow distribution for improved Earth system modelling in the Arctic." The Cryosphere (2022).
"Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks." Remote Sensing 11, no. 1 (2019): 69.
"Addressing numerical challenges in introducing a reactive transport code into a land surface model: a biogeochemical modeling proof-of-concept with CLM–PFLOTRAN 1.0." Geoscientific Model Development 9, no. 3 (2016): 927-946.
"Mapping Arctic plant functional type distributions in the Barrow Environmental Observatory using WorldView-2 and LiDAR datasets." Remote Sensing 8, no. 9 (2016): 733.
"Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape." The Cryosphere 10, no. 5 (2016): 2241-2274.
"Root structural and functional dynamics in terrestrial biosphere models - evaluation and recommendations." New Phytologist 205, no. 1 (2015): 59-78.
"Representativeness-based sampling network design for the State of Alaska." Landscape Ecology 28, no. 8 (2013): 1567-1586.
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