NGEE Arctic
Next-Generation Ecosystem Experiments
Improving climate model predictions through advanced understanding
of coupled processes in Arctic terrestrial ecosystems
Science Highlights
May 11th, 2017
Ponds and lakes affect high-latitude carbon, water, and energy budgets, however, there is no good observationally-constrained characterization of waterbodies for high-latitude systems. The Permafrost Region Pond and Lake (PeRL) database addresses this problem. PeRL includes 69 maps covering a wide range of environmental conditions.
April 3rd, 2017
The ability to map snow depth in high resolution and over a large areas permits for the first time a dataset that can be used to quantify the impact of heterogeneous snow distribution on hydrology and carbon exchange.
March 28th, 2017
Observationally-constrained photosynthetic traits for land models
Progress and Accomplishments
The Alaska Arctic Vegetation Archive (AVA-AK)
NGEE Arctic scientists contribute to an international database of vegetation data from the Alaskan Arctic tundra
Modeling the Spatiotemporal Variability in Subsurface Thermal Regimes across a Low-Relief Polygonal Tundra Landscape
Study develops an end-to-end high resolution modeling framework to simulate permafrost thermal dynamics of microtopography dominated polygonal tundra landscape
UAF Researchers “Scale Up” Permafrost Thermal Measurements in Western Alaska Using an Ecotype Approach
Field scientists develop a ground temperature map for western Alaska based on measured relationships between ground thermal regimes and vegetation ecotypes