Promoting respect and working with Arctic Indigenous communities
Since its inception, the NGEE Arctic project has worked hard to develop and promote a culture of safety, respect, and inclusion.

Since its inception, the NGEE Arctic project has worked hard to develop and promote a culture of safety, respect, and inclusion.
Drying of tundra landscapes will limit subsidence-induced acceleration of permafrost thaw.
The Arctic is warming at a faster rate than any other biome on Earth, resulting in widespread changes in vegetation composition, structure, and function that have important feedbacks to the global climate system.
The Arctic tundra biome has become a hot spot of global environmental change because the vegetation and permafrost soils are strongly influenced by warming air temperatures and declining sea ice in the Arctic Ocean. In the late 1990s, global satellite observations revealed a sharp increase in the apparent productivity of tundra vegetation, a phenomenon that has come to be known as Arctic greening. Arctic greening is dynamically linked with Earth’s changing climate, interacting in complex ways with permafrost thaw, snow and sea ice change, and disturbances. However, the greening trend has not been universal, and some areas in the Arctic are even experiencing an opposite browning trend in response to disturbance and extreme weather events.
Process model simulations reveal shortcomings in machine learning techniques commonly used to upscale and forecast ecosystem processes.
The ESS community generates a variety of multidisciplinary data, and the purpose of the reporting formats is to create a level of consistency that will allow for better integration and analysis of data.
Iron cycling is key to modeling greenhouse gas emissions from permafrost soils.
Snow spatial distribution plays a vital role in sub-Arctic and Arctic climate, hydrology, and ecology due to its fundamental influence on the water balance, thermal regimes, vegetation, and carbon flux. However, the spatial distribution of snow is not well understood and therefore not well modeled, which can lead to substantial uncertainties in snow cover representations. To capture key hydro-ecological controls on snow spatial distribution, a team of scientists carried out intensive field studies over multiple years (2017–2019) for two small sub-Arctic study sites located on the Seward Peninsula of Alaska.
Parameter estimation approach advances cost-effective methodology for estimating soil thermal and physical properties with unprecedented spatial resolution.
An analytical model predicts how ice-wedge polygon geometry influences the export of solute-rich waters from tundra soils to ponds and streams.
NGEE Arctic investigators and others provide “best practices” on data and metadata from field gas-exchange measurements.
New technology adds value to monitoring, observational, and experimental sites in remote areas.
Field observations of community composition improve how plant functional types (PFT) are represented in E3SM simulations.
Model-data integration with international partner highlights how thawing permafrost can impact conditions of water discharged to near-by streams.
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.
Biochemical composition is proposed to improve process-based models of SOM degradation and climate feedbacks
Modeling approach improving representations of permafrost dynamics in evolving landscapes.