Advancing the predictive power of Earth system models through understanding
of the structure and function of Arctic terrestrial ecosystems
Science Highlights
Developing a Land Surface Modeling Workshop for NGEE Arctic scientists
Organizers will host a workshop with the goal of giving NGEE Arctic scientists with limited or no computational or modeling experience a chance to run the E3SM Land Model (ELM), visualize model simulation output, and test questions using model simulations.
The Arctic tundra biome continued to green in the past 10 years with historically high midsummer greenness measurements
Multiscale remote sensing technologies are helping researchers better understand the effects of climate
change on vegetation productivity and regional variability in greening and browning trends.
Wetland CH4 Flux Temperature Hysteresis Explained by Substrate Availability and Microbial Activity
Using a mechanistic ecosystem model, ecosys, to demonstrate that static temperature relations cannot accurately predict wetland CH4 production and emission rates due to substrate-mediated microbial and abiotic interactions.
Alaskan carbon-climate feedbacks will be weaker than inferred from short-term manipulations
Using a mechanistic land model, Ecosys, to demonstrate that short-term (< 10 year) warming experiments produce emergent ecosystem carbon stock temperature sensitivities inconsistent with multi-decadal responses due to the tightly coupled, nonlinear nature of high-latitude ecosystems