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.

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.

An analytical model predicts how ice-wedge polygon geometry influences the export of solute-rich waters from tundra soils to ponds and streams.

New technology adds value to monitoring, observational, and experimental sites in remote areas.

NGEE Arctic investigators and others provide “best practices” on data and metadata from field gas-exchange measurements.

Model-data integration with international partner highlights how thawing permafrost can impact conditions of water discharged to near-by streams.

Field observations of community composition improve how plant functional types (PFT) are represented in E3SM simulations.

Inspired by fluid instabilities, NGEE Arctic researchers developed a mathematical theory that predicts solifluction lobe development.

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.

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