Blog

Arctic Data Center at American Geophysical Union 2019!

Arctic Data Center team members will be attending the American Geophysical Union (AGU) 2019 Fall Meeting in San Francisco, CA, December 9-13, 2019. Come visit us at Booth #1332 in the Moscone Center Exhibit Hall (see map below) throughout the week, and attend the Data Help Desk and Coding Desk (Booth #1329 just next to our booth)… Read more »

Arctic Data Center’s Data Science Training – October 2019

In early October, the Arctic Data Center held its third Data Science Training program of 2019, hosting US-based Arctic researchers with research activities spanning pan-arctically across Alaska, Canada, and Siberia. Fifteen participants, across eleven institutions, and from a wide range of data management and open source experience levels, came together striving to support one another… Read more »

Learning from the Hunters in Savoonga, with Dr. Henry Huntington

Highlight: “The hunters have a lot of valuable information to share, but often this information is overlooked or regarded as too difficult and time consuming to document. We’re helping show that’s not the case, that there are proven methods for documenting Indigenous knowledge efficiently and sharing that information,” – Dr. Henry Huntington. This dataset is… Read more »

Exploring the Energy, Clouds, Atmosphere and Precipitation in Summit, Greenland, through ICECAPS, with Dr. Matthew Shupe

Highlight: “ICECAPS data and analyses have developed process relationships that relate cloud variability to different terms of the surface energy budget as a function of time of year. These relationships are used to assess large-scale models and identify specific model deficiencies that must be addressed to accurately represent the energy partitioning at Greenland’s surface,” –… Read more »

Phenological Mismatch in the Arctic, with Dr. Kathy Kelsey

Dr. Kathy Kelsey collecting greenhouse gas data. PC: Ryan T. Choi

Highlight: “These data are critical for understanding how climate-induced changes in the timing of migratory herbivore grazing should be included in projections of the role of Arctic and Subarctic ecosystems in the global climate system,” – Dr. Kathy Kelsey. Phenological mismatch is when the timing of food and/or habitat availability for a species is altered… Read more »

Investigating Rotten Ice, with Dr. Karen Junge

First-year Arctic sea ice at the height of summer melt in the Chukchi Sea (scale ~1 m). PC: Dr. Karen Junge

Highlight: “So-called rotten ice has experienced a long summer of melt, is fragile, difficult to work with, and has received little attention. Comprehensive information on its physical and microbiological properties does not exist,” – Dr. Karen Junge. Decreases in ice extent, concentration, and thickness have all been observed in the Arctic as sea ice responds… Read more »

Subsistence Harvests in Alaskan Communities along the Bering Sea, with Dr. James Fall

Distribution of the walrus harvest at Togiak. Photo courtesy ADF&G

  Highlight: “It is our goal to accurately describe contemporary subsistence activities and the issues faced by Arctic communities, all in support of sustaining these communities into the future,” – Dr. James Fall. This dataset, part of the same Bering Sea Integrated Research Program as a previous dataset highlight, investigates the implications of climate change… Read more »

Dissolved Organic Carbon, with Dr. Rose Cory

Rose Cory

Highlight: This dataset is behind the study recently highlighted in a High Country News article, sharing the work of Dr. Rose Cory and her team. This dataset is part of a project working to understand what happens to soil organic matter when it’s flushed from soils to streams, ponds and lakes. This organic carbon is… Read more »

Data Provenance and Arctic Soil Bacteria with Michael P. Ricketts

View from Toolik Field Station, Alaska

Highlight: This dataset makes use of the Arctic Data Center’s data provenance tool to show the relationships between different data inputs and the processing that lead author Michael P. Ricketts and his team used to perform their analysis. By doing this, Ricketts is ensuring that this research is reproducible by others. This dataset is part… Read more »