Progress and Accomplishments
Seasoned by the NGEE Arctic project, scientist gets tapped for a new opportunity.
NGEE Arctic contributed to the Arctic Report Card chapter on ’Tundra Greenness’ including changes in the cover of alder shrubs that impact local nutrient cycling.
Numerous posters, oral, and organized sessions submitted to AGU continue to highlight science and science leadership by members of the NGEE Arctic project.
Scientists from across the country gather for their ninth annual NGEE Arctic All-Hands meeting to celebrate success and discuss progress and plans for the project.
Snapshot of simulated snowpack surface (cyan line) and ground temperature in a low centered polygon on December 24, 2014, demonstrating that rims function as preferential outlets of subsurface heat in winter, becoming the coldest zone of the polygon.
Investigations of topographic control on thermokarst development and the ground thermal regime in ice wedge polygons using the Advanced Terrestrial Simulator
NGEE Arctic researchers found that rim height and trough depth in ice wedge polygons considerably influence the vulnerability of the underlying permafrost, shaping feedbacks which ultimately control topographic deformation and increased soil aeration in t
NASA ABoVE group photo including NGEE Arctic scientists, Shawn Serbin (top left) and Eugenie Euskirchen (bottom left).
Shawn Serbin represented NGEE Arctic at the NASA ABoVE meeting, showcasing our science and identifying opportunities for synergy with NASA ABoVE.
Examples of the collected data (e.g. LiDAR and aerial imagery) and products (Digital Elevation model) using UAS at NGEE Teller research site.
Characterization of permafrost landscapes using an unmanned aerial system: LiDAR mapping the NGEE Arctic Teller field site
A state-of-the-art unmanned aerial system was deployed to collect centimeter-resolution imagery and topographic data of the NGEE Teller research site.
Comparison of soil temperature observations and predictions in polygon centers (a) and rims (b). The simulation was performed with snow redistribution on and two-dimensional subsurface physics, between September 2012 and September 2013. ELM-3D accurately
Impacts of microtopography on hydrologic and thermal states in an Arctic ecosystem: A case study using ELM-3D v1.0
Using a new three-dimensional hydrological and thermal capability in ELM (ELM-3D), scientists at LBNL analyzed the role of snow redistribution and lateral interconnectivity on soil temperatures and active layer.
Schematic representation of the distributed snow depth where tall shrubs trap more snow than surrounding tundra affecting permafrost distribution and form new pathways for groundwater flow.
Modeling the role of vegetation-induced preferential snow accumulation in open talik development and hillslope groundwater flow in a transitional permafrost landscape
The role of distributed snow on permafrost distribution along the hillslope at Teller field site
These panels show a landscape swath over which multiple remote sensing data collected in an area near Kougarok in the Seward Peninsula of Alaska. (a) Unsupervised cluster analysis classification map (k = 25) using EO-1, Landsat 8 OLI, ALOS-1, PALSAR, SPOT
Convolutional neural network approach for mapping Arctic vegetation using multi-sensor remote Sensing fusion
Deep learning models achieve multi-sensor remote sensing fusion for mapping of Arctic vegetation