![Atmosphere | Free Full-Text | New Gap-Filling Strategies for Long-Period Flux Data Gaps Using a Data-Driven Approach | HTML Atmosphere | Free Full-Text | New Gap-Filling Strategies for Long-Period Flux Data Gaps Using a Data-Driven Approach | HTML](https://www.mdpi.com/atmosphere/atmosphere-10-00568/article_deploy/html/images/atmosphere-10-00568-g001.png)
Atmosphere | Free Full-Text | New Gap-Filling Strategies for Long-Period Flux Data Gaps Using a Data-Driven Approach | HTML
![BG - Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness BG - Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness](https://bg.copernicus.org/articles/16/255/2019/bg-16-255-2019-avatar-web.png)
BG - Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness
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PDF) Methane oxidation in a dielectric barrier discharge. the impact of discharge power and discharge gap filling | Alexander Khassin - Academia.edu
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Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands - ScienceDirect
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Politicians underestimate methane as a climate killer | Heinrich Böll Stiftung | Brussels office - European Union
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Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis - Kim - 2020 - Global Change Biology - Wiley Online Library
![Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis - Kim - 2020 - Global Change Biology - Wiley Online Library Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis - Kim - 2020 - Global Change Biology - Wiley Online Library](https://onlinelibrary.wiley.com/cms/asset/edc012ae-667f-42ab-93f4-83aad2903460/gcb14845-fig-0006-m.jpg)
Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis - Kim - 2020 - Global Change Biology - Wiley Online Library
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Methane fluxes (FCH 4 ) summed up for the wavelet method and EC method... | Download Scientific Diagram
![ESSD - FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands ESSD - FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands](https://essd.copernicus.org/articles/13/3607/2021/essd-13-3607-2021-f02-high-res.png)
ESSD - FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands
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Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands - ScienceDirect
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Combining eddy-covariance and chamber measurements to determine the methane budget from a small, heterogeneous urban floodplain wetland park | Semantic Scholar
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New satellite to spot planet-warming industrial methane leaks | Greenhouse gas emissions | The Guardian
Demonstration of the gap-filling procedure. For k with at least 60 % of... | Download Scientific Diagram
![Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands - ScienceDirect Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0168192321002124-gr3.jpg)
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands - ScienceDirect
![Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis - Kim - 2020 - Global Change Biology - Wiley Online Library Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis - Kim - 2020 - Global Change Biology - Wiley Online Library](https://onlinelibrary.wiley.com/cms/asset/8f676339-b850-407f-8fcc-fe311655643d/gcb14845-fig-0001-m.jpg)
Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis - Kim - 2020 - Global Change Biology - Wiley Online Library
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BG - Comparison of eddy covariance CO2 and CH4 fluxes from mined and recently rewetted sections in a northwestern German cutover bog
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Declining methane emissions and steady, high leakage rates observed over multiple years in a western US oil/gas production basin | Scientific Reports
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Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands - ScienceDirect
![PDF] Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis. | Semantic Scholar PDF] Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/1d902fa02d58bf9879d7d2195d53aa3068573f83/13-Figure8-1.png)