Thünen: New study proposing gap-filling ensemble for robust GHG budgets based on eddy flux data
PDF) Gap-filling missing data in eddy covariance measurements using multiple imputation (MI) for annual estimations | Gabriel Katul and Dafeng Hui - Academia.edu
Paradigmatic networks: a new tool for gap-filling and spatialization of eddy covariance CO2 fluxes - FLUXNET
Gap-filling Fast Electrical Mobility Spectrometer Measurements of Particle Number Size Distributions for Eddy Covariance Application - Aerosol and Air Quality Research
Multiple gap-filling for eddy covariance datasets - ScienceDirect
Data Processing - FLUXNET
Remote Sensing | Free Full-Text | Parsimonious Gap-Filling Models for Sub-Daily Actual Evapotranspiration Observations from Eddy-Covariance Systems
Combining eddy-covariance and chamber measurements to determine the methane budget from a small, heterogeneous urban floodplain
Multiple gap-filling for eddy covariance datasets - ScienceDirect
Remote Sensing | Free Full-Text | Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition
Recommendations for gap-filling eddy covariance latent heat flux measurements using marginal distribution sampling | Theoretical and Applied Climatology
GI - Evaluating four gap-filling methods for eddy covariance measurements of evapotranspiration over hilly crop fields
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates | Scientific Reports
PDF) Gap-filling missing data in eddy covariance measurements using multiple imputation (MI) for annual estimations | Dafeng Hui - Academia.edu
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates | Scientific Reports
Global Change Biology | Environmental Change Journal | Wiley Online Library
GI - A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers
Uncertainty in eddy covariance data and its relevance to gap filling David HollingerAndrew Richardson USDA Forest ServiceUniversity of New Hampshire Durham, - ppt download
Remote Sensing | Free Full-Text | Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition
ESSD - A long-term (2005–2019) eddy covariance data set of CO2 and H2O fluxes from the Tibetan alpine steppe
GI - A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers
GitHub - stanfordmlgroup/methane-gapfill-ml: Python codebase for gap-filling eddy covariance methane fluxes at FLUXNET-CH4 wetlands with machine learning.
Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes - ScienceDirect
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates | Scientific Reports
ACP - Technical note: Uncertainties in eddy covariance CO2 fluxes in a semiarid sagebrush ecosystem caused by gap-filling approaches
In this lecture we will start distilling the eddy flux measurements and applying them to science questions
Tovi | Determining storage corrections
Meteorological conditions and gap-filled eddy covariance measurements... | Download Scientific Diagram
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands - ScienceDirect
