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Airborne Campaign in the Icy Arctic1 min read

by Marilyn Saarni on October 7, 2015

Announcements Climate and Ecosystem Sciences Division Climate Sciences Department Terrestrial Ecosystem Science Program
Gulfstream-159 (G-1) research plane from the ARM Aerial Facility - in flight.

Gulfstream-159 (G-1) research plane from the ARM Aerial Facility – in flight.

In the News: Sébastien Biraud led an ARM-ACME V team through a 16-week airborne campaign to collect data over the tundra of Alaska’s North Slope. The team flew 38 flights, just 500 feet above ground, from June 1 to September 15, using a Gulfstream-159 (G-1) research aircraft from the ARM Aerial Facility. Most flights went over Oliktok Point, Barrow, Atqasuk, Ivotuk, and Toolik Lake. The data collected from the flights over Oliktok Point and Barrow will be compared to data collected by ARM ground sites there. See ARM website and DOE’s Science Headlines.

Area surveyed by campaign

Area surveyed by campaign.

Members of the ARM-ACME V team are Michael Hubbell (pilot), Jonathan Ray (pilot), Mike Crocker (mechanic)
Jason Tomlinson (flight engineer), Dan Nelson (Technician), Beat Schmid (AAF Director), Victor Morris (Technician), and Mikhail Pekour (flight engineer).

Flight crew members (from left to right): Clayton Eveland (pilot), John Hubbe (flight Engineer), Allen Cordle (pilot), Sebastien Biraud (scientist/PI), and Albert Mendoza (flight Engineer)

Flight crew members (from left to right): Clayton Eveland (pilot), John Hubbe (flight Engineer), Allen Cordle (pilot), Sébastien Biraud (scientist/PI), and Albert Mendoza (flight Engineer)

“Given the usual challenging weather in the North Slope, and there being snow in August, this is the best and most complete data set I’ve ever collected,” said Biraud. “Because we flew so often over a longer period of time, about every four days over three months, we were able to see changes at synoptic and seasonal scales. As a surprise, we still observed methane concentration enhancements, even though the snow covering the ground acted as a lid would on a bottle.”

Gathering and assessing these data will lead to improved current climate models, which now underestimate how rapidly the arctic is warming.

News & Events

Chun Chang Places Second in Annual Berkeley Lab Pitch Competition3 min read

January 18, 2023

Commercializing Berkeley Lab inventions is an important part of the Lab’s mission, and one that requires strong communication skills. For example, Lab inventors need to be able to pitch their ideas to external partners and potential funders.  The annual Berkeley Lab Pitch Competition occurred on October 27, 2022 and is a part of an entrepreneurship…

EESA Scientists Collaborate With Universities to bring Environmental Science Research Opportunities and Training to Students Underrepresented in STEM3 min read

January 13, 2023

  EESA researchers are collaborators in three of the 41 projects awarded in December by DOE through its Reaching a New Energy Sciences Workforce (RENEW) initiative.  RENEW aims to build foundations for research at institutions that have been historically underrepresented in the Office of Science (SC) research portfolio. The initiative provides opportunities for undergraduate and…

New Report Explores Revolutionary Environmental Artificial Intelligence Infrastructure5 min read

January 10, 2023

In a collaborative effort between the U.S. Department of Energy’s (DOE) Office of Biological and Environmental Research (BER) and DOE’s Advanced Scientific Computing Research (ASCR) program, as well as with community experts, the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop was held from October through December 2021. BER developed the process as the Model-Experiment paradigm, or ModEx, and a report released this fall outlines the key takeaways of last year’s event.

A Q&A With Postdoc Kunxiaoja Yuan3 min read

January 4, 2023

  Kunxiaojia Yuan received her Bachelor’s of Engineering in remote sensing and Ph.D. in geographic information engineering from Wuhan University. She is a postdoctoral researcher in EESA, with a research focus on global carbon, energy, and water cycle analysis and model evaluation using machine learning and causal inference. What motivated you to pursue a postdoc…

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