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Publication Details

Title:
AmeriFlux site visit report and data for the Glacier Lakes Ecosystem Experiments Site (US-GLE)
Author(s):
Frank, John M.; Massman, William J.; Chan, W. Stephen; Dengel, Sigrid; Biraud, Sébastien C.; Billesbach, David P.; Hanson, Chad V.
Publication Year:
2019
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Frank, John M.; Massman, William J.; Chan, W. Stephen; Dengel, Sigrid; Biraud, Sébastien C.; Billesbach, David P.; Hanson, Chad V. 2019. AmeriFlux site visit report and data for the Glacier Lakes Ecosystem Experiments Site (US-GLE). Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2019-0013
Abstract:
This report and data summarize the AmeriFlux Tech team site visit to the Glacier Lakes Ecosystem Experiments Site (GLEES) in southeastern Wyoming. For this campaign, the AmeriFlux portable eddy covariance system (PECS) was deployed near the in situ GLEES micro-meteorological sensors. The resulting intercomparison of eddy covariance, radiation, and meteorological observations is used to inform key recommendations and improvements in the measurements. This package includes both the report and underlying data recorded by both the AmeriFlux PECS and the GLEES in situ instrumentation during the 14 day period in September 2016.

Keywords:
biota; climatologyMeteorologyAtmosphere; Climate change; Carbon; Ecology, Ecosystems, & Environment; Hydrology, watersheds, sedimentation; eddy covariance; AmeriFlux; sonic anemometry; Glacier Lakes Ecosystem Experiments Site; GLEES; Medicine Bow National Forest; Wyoming
Related publications:
  • Frank, John M.; Massman, William J.; Ewers, Brent E.; Williams, David G. 2018. Data and source code for "Bayesian analyses of seventeen winters of water vapor fluxes show bark beetles reduce sublimation". Forest Service Research Data Archive. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0032
Metrics:
Visit count : 160
Download count: 10
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