
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
A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA." Earth System Science Data 10, no. 4 (2018): 2311-2328.
"Triose phosphate limitation in photosynthesis models reduces leaf photosynthesis and global terrestrial carbon storage." Environmental Research Letters 13, no. 7 (2018): 074025.
"Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska." Scientific Data 5 (2018): 180058.
"Applicability of the ecosystem type approach to model permafrost dynamics across the Alaska North Slope." Journal of Geophysical Research: Earth Surface 122, no. 1 (2017): 50-75.
"Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra." Journal of Geophysical Research: Biogeosciences 122, no. 6 (2017): 1321-1342.
"Continuously amplified warming in the Alaskan Arctic: Implications for estimating global warming hiatus." Geophysical Research Letters 44, no. 17 (2017): 9029-9038.
"Convolutional neural network approach for mapping Arctic vegetation using multi-sensor remote sensing fusion." 2017 IEEE International Conference on Data Mining Workshops (ICDMW) (2017): 770-778.
"Coupled land surface-subsurface hydrogeophysical inverse modeling to estimate soil organic content and explore associated hydrological and thermal dynamics in an Arctic tundra." The Cryosphere Discussions (2017): 1-42.
"Deep Yedoma permafrost: A synthesis of depositional characteristics and carbon vulnerability." Earth-Science Reviews 172 (2017): 75-86.
"An effective-medium model for P-wave velocities of saturated, unconsolidated saline permafrost." GEOPHYSICS 82, no. 3 (2017).
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