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Challenges of predi...
Challenges of predicting gas transfer velocity from wind measurements over global lakes
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- Klaus, Marcus (författare)
- Swedish 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
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- Vachon, Dominic (författare)
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
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(creator_code:org_t)
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- 2020-05-01
- 2020
- Engelska.
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Ingår i: Aquatic Sciences. - : Springer. - 1015-1621 .- 1420-9055. ; 82:3
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Abstract
Ämnesord
Stäng
- 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
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)
Nyckelord
- Air-water gas exchange
- Model assessment
- Lake gas flux
- Wind speed
- k(600)
- Reaeration
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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