Temperature Proxies as a Solution to Biased Sampling of Lake Methane Emissions
Abstract Lake emissions of the climate forcing trace gas methane (CH4) are spatiotemporally variable, but biases in flux measurements arising from undersampling are poorly quantified. We use a multiyear data set (2009–2017) of ice‐free CH4 emissions from three subarctic lakes obtained with bubble tr...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley
2020-07-01
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| Schriftenreihe: | Geophysical Research Letters |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1029/2020GL088647 |
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