WFRF:(Vachon Dominic)
Sökning: WFRF:(Vachon Dominic) > Challenges of predi...
- Klaus, MarcusSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Umeå universitet,Institutionen för ekologi, miljö och geovetenskap,Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden,Institutionen för skogens ekologi och skötsel,Umeå University (författare)
Challenges of predicting gas transfer velocity from wind measurements over global lakes
- Artikel/kapitelEngelska2020
Förlag, utgivningsår, omfång ...
- 2020-05-01
- Springer,2020
- electronicrdacarrier
Nummerbeteckningar
- LIBRIS-ID:oai:DiVA.org:umu-170797
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-170797URI
- https://doi.org/10.1007/s00027-020-00729-9DOI
- https://res.slu.se/id/publ/105608URI
Kompletterande språkuppgifter
- Språk:engelska
- Sammanfattning på:engelska
Ingår i deldatabas
- SwePubSwePub
Klassifikation
Anmärkningar
- Estimating air-water gas transfer velocities (k) is integral to understand biogeochemical and ecological processes in aquatic systems. In lakes, k is commonly predicted using wind-based empirical models, however, their predictive performance under conditions that differ from their original calibration remains largely unassessed. Here, we collected 2222 published k estimates derived from various methods in 46 globally distributed lakes to (1) evaluate the predictions of a selection of six available wind-speed based k models for lakes and (2) explore and develop new empirical models to predict k over global lakes. We found that selected k models generally performed poorly in predicting k in lakes. Model predictions were more accurate than simply assuming a mean k in only 2-39% of all lakes, however, we could not identify with confidence the specific conditions in which some models outperformed others. We developed new wind-based models in which additional variables describing the spatial coverage of k estimates and the lake size and shape had a significant effect on the wind speed-k relationship. Although these new models did not fit the global dataset significantly better than previous k models, they generate overall less biased predictions for global lakes. We further provide explicit estimates of prediction errors that integrate methodological and lake-specific uncertainties. Our results highlight the potential limits when using wind-based models to predict k across lakes and urge scientists to properly account for prediction errors, or measure k directly in the field whenever possible.
Ämnesord och genrebeteckningar
- NATURVETENSKAP Geovetenskap och miljövetenskap Oceanografi, hydrologi och vattenresurser hsv//swe
- NATURAL SCIENCES Earth and Related Environmental Sciences Oceanography, Hydrology and Water Resources hsv//eng
- Air-water gas exchange
- Model assessment
- Lake gas flux
- Wind speed
- k(600)
- Reaeration
Biuppslag (personer, institutioner, konferenser, titlar ...)
- Vachon, DominicDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden(Swepub:umu)dova0005 (författare)
- Umeå universitetInstitutionen för ekologi, miljö och geovetenskap (creator_code:org_t)
- Sveriges lantbruksuniversitet
Sammanhörande titlar
- Ingår i:Aquatic Sciences: Springer82:31015-16211420-9055
Internetlänk
- https://doi.org/10.1007/s00027-020-00729-9Fulltext
- https://umu.diva-portal.org/smash/get/diva2:1432460/FULLTEXT01.pdffulltext:print
- https://link.springer.com/content/pdf/10.1007/s00027-020-00729-9.pdf
- https://pub.epsilon.slu.se/id/eprint/17087/contentsFULLTEXT
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-170797
- https://doi.org/10.1007/s00027-020-00729-9
- https://res.slu.se/id/publ/105608
Hitta mer i SwePub
- Av författaren/redakt...
- Klaus, Marcus
- Vachon, Dominic
- Om ämnet
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- NATURVETENSKAP
- NATURVETENSKAP
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- och Oceanografi hydr ...
- Artiklar i publikationen
- Aquatic Sciences
- Av lärosätet
- Umeå universitet
- Sveriges Lantbruksuniversitet
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