Show simple item record

dc.contributor.authorMeredith, Laura Kelsey
dc.contributor.authorCommane, R.
dc.contributor.authorMunger, J. W.
dc.contributor.authorDunn, A.
dc.contributor.authorTang, J.
dc.contributor.authorWofsy, S. C.
dc.contributor.authorPrinn, Ronald G.
dc.date.accessioned2014-10-17T14:09:07Z
dc.date.available2014-10-17T14:09:07Z
dc.date.issued2014-09
dc.date.submitted2014-07
dc.identifier.issn1867-8548
dc.identifier.urihttp://hdl.handle.net/1721.1/90961
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 (H[subscript 2]), 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 H[subscript 2] is poorly constrained by the limited available observations, and thus the ability to quantify and characterize the sources and sinks of H[subscript 2] 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 CO[subscript 2] and H[subscript 2]O 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. H[subscript 2] fluxes calculated in a summer period agreed within their uncertainty and pointed to soil uptake as the main driver of H[subscript 2] exchange at Harvard Forest, with H[subscript 2] deposition velocities ranging from 0.04 to 0.10 cm s[superscript −1].en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (NSF Graduate Research Fellowship)en_US
dc.description.sponsorshipUnited States. National Aeronautics and Space Administration (Advanced Global Atmospheric Gases Experiment (AGAGE))en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Joint Program on the Science & Policy of Global Changeen_US
dc.description.sponsorshipMartin Family Society of Fellows for Sustainabilityen_US
dc.description.sponsorshipMassachusetts Institute of Technology (Ally of Nature Research Fund)en_US
dc.description.sponsorshipMassachusetts Institute of Technology (William Otis Crosby Lectureship)en_US
dc.description.sponsorshipMassachusetts Institute of Technology (Warren Klein Fund)en_US
dc.language.isoen_US
dc.publisherCopernicus GmbH on behalf of the European Geosciences Unionen_US
dc.relation.isversionofhttp://dx.doi.org/10.5194/amt-7-2787-2014en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en_US
dc.sourceCopernicus Publicationsen_US
dc.titleEcosystem fluxes of hydrogen: a comparison of flux-gradient methodsen_US
dc.typeArticleen_US
dc.identifier.citationMeredith, L. K., R. Commane, J. W. Munger, A. Dunn, J. Tang, S. C. Wofsy, and R. G. Prinn. “Ecosystem Fluxes of Hydrogen: a Comparison of Flux-Gradient Methods.” Atmos. Meas. Tech. 7, no. 9 (2014): 2787–2805.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Global Change Scienceen_US
dc.contributor.mitauthorMeredith, Laura Kelseyen_US
dc.contributor.mitauthorPrinn, Ronald G.en_US
dc.relation.journalAtmospheric Measurement Techniquesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMeredith, L. K.; Commane, R.; Munger, J. W.; Dunn, A.; Tang, J.; Wofsy, S. C.; Prinn, R. G.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5925-3801
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record