ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017

Description

This dataset provides in situ airborne measurements of atmospheric carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), and water vapor concentrations, plus air temperature, pressure, relative humidity, and wind speed values over Alaska and the Yukon and Northwest Territories of Canada during the Arctic Carbon Aircraft Profile (Arctic-CAP) monthly sampling campaigns from April-November 2017. Observations have been averaged to a 10-second interval and are reported with the number of samples (N) and standard deviation. During each of the six monthly campaigns, flights over the Arctic-Boreal Vulnerability Experiment (ABoVE) domain included 25 vertical profiles, from the surface up to 6 km altitude, at locations selected to complement regular long-term vertical profiles, remote sensing data, and ground-based flux tower measurements.

Resources

Name Format Description Link
The dataset's project home page HTML ABoVE project site Open resource
Download this dataset HTML This link allows direct data access via Earthdata login Open resource
Get a related visualization PNG Arctic-CAP flight lines (orange) sample Arctic and boreal regions of Alaska and the Yukon and the Northwest Territories of Canada. Monthly campaigns extended from April through November, capturing the carbon dynamics of the 2017 growing season. Pins mark the locations of the 25 vertical profiles acquired during each monthly campaign. Source: Scientific Aviation, 2019. Open resource
View documentation related to this dataset HTML ORNL DAAC Data Set Documentation Open resource
View documentation related to this dataset PDF ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentration, Alaska and Canada, 2017: ABoVE_Arctic_CAP.pdf Open resource
This dataset's landing page HTML Data set Landing Page DOI URL Open resource
Use OPeNDAP to access the dataset's data HTML USE SERVICE API Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource

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