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
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.
"Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks." Remote Sensing 11, no. 1 (2019): 69.
"Increased Arctic NO3− Availability as a Hydrogeomorphic Consequence of Permafrost Degradation and Landscape Drying." Nitrogen 3, no. 2 (2022): 314-332.
"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.
"Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements." Biogeosciences 19, no. 3 (2022): 559-583.
"Representativeness-based sampling network design for the State of Alaska." Landscape Ecology 28, no. 8 (2013): 1567-1586.
"Root structural and functional dynamics in terrestrial biosphere models - evaluation and recommendations." New Phytologist 205, no. 1 (2015): 59-78.
"Spatial patterns of snow distribution for improved Earth system modelling in the Arctic." The Cryosphere (2022).
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