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dc.contributor.authorMeredith, Laura K.  Concept link
dc.contributor.authorCommane, R.  Concept link
dc.contributor.authorMunger, J. William  Concept link
dc.contributor.authorDunn, A.  Concept link
dc.contributor.authorTang, Jianwu  Concept link
dc.contributor.authorWofsy, Steven C.  Concept link
dc.contributor.authorPrinn, Ronald G.  Concept link
dc.date.accessioned2014-10-23T19:22:33Z
dc.date.available2014-10-23T19:22:33Z
dc.date.issued2014-09-03
dc.identifier.citationAtmospheric Measurement Techniques 7 (2014): 2787-2805en_US
dc.identifier.urihttps://hdl.handle.net/1912/6907
dc.description© The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Atmospheric Measurement Techniques 7 (2014): 2787-2805, doi:10.5194/amt-7-2787-2014.en_US
dc.description.abstractOur understanding of biosphere–atmosphere exchange has been considerably enhanced by eddy covariance measurements. However, there remain many trace gases, such as molecular hydrogen (H2), that lack suitable analytical methods to measure their fluxes by eddy covariance. In such cases, flux-gradient methods can be used to calculate ecosystem-scale fluxes from vertical concentration gradients. The budget of atmospheric H2 is poorly constrained by the limited available observations, and thus the ability to quantify and characterize the sources and sinks of H2 by flux-gradient methods in various ecosystems is important. We developed an approach to make nonintrusive, automated measurements of ecosystem-scale H2 fluxes both above and below the forest canopy at the Harvard Forest in Petersham, Massachusetts, for over a year. We used three flux-gradient methods to calculate the fluxes: two similarity methods that do not rely on a micrometeorological determination of the eddy diffusivity, K, based on (1) trace gases or (2) sensible heat, and one flux-gradient method that (3) parameterizes K. We quantitatively assessed the flux-gradient methods using CO2 and H2O by comparison to their simultaneous independent flux measurements via eddy covariance and soil chambers. All three flux-gradient methods performed well in certain locations, seasons, and times of day, and the best methods were trace gas similarity for above the canopy and K parameterization below it. Sensible heat similarity required several independent measurements, and the results were more variable, in part because those data were only available in the winter, when heat fluxes and temperature gradients were small and difficult to measure. Biases were often observed between flux-gradient methods and the independent flux measurements, and there was at least a 26% difference in nocturnal eddy-derived net ecosystem exchange (NEE) and chamber measurements. H2 fluxes calculated in a summer period agreed within their uncertainty and pointed to soil uptake as the main driver of H2 exchange at Harvard Forest, with H2 deposition velocities ranging from 0.04 to 0.10 cm s−1.en_US
dc.description.sponsorshipL. K. Meredith was supported through the following funding sources: NSF Graduate Research Fellowship, multiple grants from NASA to MIT for the Advanced Global Atmospheric Gases Experiment (AGAGE), MIT Center for Global Change Science, MIT Joint Program on the Science and Policy of Global Change, MIT Martin Family Society of Fellows for Sustainability, MIT Ally of Nature Research Fund, MIT William Otis Crosby Lectureship, and MIT Warren Klein Fund. Operation of the EMS flux tower was supported by the Office of Science (BER), US Dept. of Energy (DE-SC0004985), and is a component of the Harvard Forest LTER, supported by National Science Foundation.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherCopernicus Publications on behalf of the European Geosciences Unionen_US
dc.relation.urihttps://doi.org/10.5194/amt-7-2787-2014
dc.rightsAttribution 3.0 Unported*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleEcosystem fluxes of hydrogen : a comparison of flux-gradient methodsen_US
dc.typeArticleen_US
dc.identifier.doi10.5194/amt-7-2787-2014


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Attribution 3.0 Unported
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