SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Vachon Dominic)
 

Sökning: WFRF:(Vachon Dominic) > Challenges of predi...

Challenges of predicting gas transfer velocity from wind measurements over global lakes

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
Vachon, Dominic (författare)
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
 (creator_code:org_t)
 
2020-05-01
2020
Engelska.
Ingår i: Aquatic Sciences. - : Springer. - 1015-1621 .- 1420-9055. ; 82:3
  • Tidskriftsartikel (refereegranskat)
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)

Hitta via bibliotek

Till lärosätets databas

Hitta mer i SwePub

Av författaren/redakt...
Klaus, Marcus
Vachon, Dominic
Om ämnet
NATURVETENSKAP
NATURVETENSKAP
och Geovetenskap och ...
och Oceanografi hydr ...
Artiklar i publikationen
Aquatic Sciences
Av lärosätet
Umeå universitet
Sveriges Lantbruksuniversitet

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy