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.

New Model Predicts Soil Drainage

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

Hybrid-energy module for remote environmental observations, instruments, and communications

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

A reporting format for leaf-level gas exchange data and metadata

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

Permafrost promotes shallow groundwater flow and warmer headwater streams

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

Integrating Arctic plant functional types in a land surface model using above- and below-ground field observations

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

Arctic soil patterns analogous to fluid instabilities

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

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