Progress & Accomplishments

NGEE Arctic Chief Scientist contributes to State of the Climate in 2019 report

Joined by colleagues from around the world, Vladimir Romanovsky documents the current state of terrestrial permafrost for wide areas of the Arctic.

State of the Climate 2019

Compiled by NOAA’s National Centers for Environmental Information, State of the Climate in 2019 is based on contributions from scientists from around the world.

Understanding inundation and drainage patterns of ice-wedge polygons

New insights are provided into drainage timing and flow patterns in inundated ice-wedge polygons based on fundamental hydrogeology

Contour map

Identifying polygonal ground in arctic regions using GLCM texture features for random forest classification

Image textural features and machine learning models can effectively identify broad regions of polygonal ground topography in the arctic using panchromatic imagery.

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A raster image is a classified map using the random forest model where GLCM contrast, homogeneity, dissimilarity, and entropy are used to predict NPGR (non-polygonal ground regions, purple) or PGR (polygonal ground regions, blue) with 92% overall accuracy

Metadata and NGEE Arctic Search Tool Metrics

View metrics about the NGEE Arctic metadata records and data downloads.

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Katrina Bennett to assume Q5 co-leadership responsibilities

Opportunities emerge for leadership in the NGEE Arctic project and we welcome Katrina Bennett to her new co-lead responsibilities for permafrost hydrology.

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Permafrost Thermal Conditions are Sensitive to Shifts in Snow Timing

Numerical experiment suggest that reliable projections of air temperature and total snowfall may not be sufficient to understand permafrost degradation.

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Impact of Lateral Flow on the Water Status of Polygon Centers

Multi-year field observations improve process representation in polygon hydrology models.

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Estimating Critical Permafrost Properties from Easily Observed Permafrost State Data

NGEE Arctic researchers use fusion of numerical models and data to estimate subsurface porosities of the polygonal tundra.

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Arctic Sedge Play an Important Role in the Carbon Balance of Tundra Ecosystems

Research shows how individual species can disproportionately impact ecosystem carbon balance.

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Ground-Based and UAV-Collected Snow Measurements Compared across a Watershed on the Seward Peninsula

Snow measurements collected with a UAV and ground-based data collection techniques show strong agreement.

NGEE Arctic

Next-Generation Ecosystem Experiments

Progress & Accomplishments

NGEE Arctic Chief Scientist contributes to State of the Climate in 2019 report

State of the Climate 2019

Understanding inundation and drainage patterns of ice-wedge polygons

Contour map

Identifying polygonal ground in arctic regions using GLCM texture features for random forest classification

FY22Q1_fig3.png

Metadata and NGEE Arctic Search Tool Metrics

Picture1.png

Katrina Bennett to assume Q5 co-leadership responsibilities

Katrina Eleanor Bennett 2018 sm.jpg

Permafrost Thermal Conditions are Sensitive to Shifts in Snow Timing

Fig.6_20Q2.png

Impact of Lateral Flow on the Water Status of Polygon Centers

Fig.5_20Q2.png

Estimating Critical Permafrost Properties from Easily Observed Permafrost State Data

Fig.4_20Q2.png

Arctic Sedge Play an Important Role in the Carbon Balance of Tundra Ecosystems

Fig.3_20Q2.png

Ground-Based and UAV-Collected Snow Measurements Compared across a Watershed on the Seward Peninsula

Fig.2_20Q2.png