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Net ecosystem exchange at West Siberian peatland in 2022-2024: Comparison of data gap-filling techniques

https://doi.org/10.2139/ssrn.5708202
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inferredcites →https://doi.org/10.1016/j.ecolmodel.2022.109901openalex-snapshot
Modeling terrestrial net ecosystem exchange using machine learning techniques based on flux tower measurements
inferredcites →https://doi.org/10.1016/j.jhydrol.2012.01.011openalex-snapshot
Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios
inferredcites →https://doi.org/10.1016/s0168-1923(00)00225-2openalex-snapshot
Gap filling strategies for defensible annual sums of net ecosystem exchange
inferredcites →https://doi.org/10.1029/2003gl017797openalex-snapshot
Siberian wetlands: Where a sink is a source
inferredcites →https://doi.org/10.1038/s41586-021-03523-1openalex-snapshot
Overriding water table control on managed peatland greenhouse gas emissions
inferredcites →https://doi.org/10.1038/s41598-023-28827-2openalex-snapshot
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates
inferredcites →https://doi.org/10.1111/gcb.13638openalex-snapshot
Direct and indirect climate change effects on carbon dioxide fluxes in a thawing boreal forest–wetland landscape
inferredcites →https://doi.org/10.1111/gcb.14807openalex-snapshot
How eddy covariance flux measurements have contributed to our understanding of Global Change Biology
inferredcites →https://doi.org/10.1111/gcb.14845openalex-snapshot
Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis
inferredcites →https://doi.org/10.1111/gcb.15661openalex-snapshot
Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales
inferredcites →https://doi.org/10.1134/s106422931206004xopenalex-snapshot
The influence of environmental factors on the CO2 emission from the surface of oligotrophic peat soils in West Siberia
inferredcites →https://doi.org/10.1134/s1995425522060075openalex-snapshot
Emission and Uptake of Greenhouse Gases by Peatland Ecosystems of the Licensed Areas of Salym Oilfield in the Nefteyugansk District of the Khanty-Mansi Autonomous Okrug
inferredcites →https://doi.org/10.1139/a02-004openalex-snapshot
Carbon cycling in peatlands A review of processes and controls
inferredcites →https://doi.org/10.1515/intag-2017-0039openalex-snapshot
Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review
inferredcites →https://doi.org/10.1515/intag-2017-0042openalex-snapshot
Standardisation of eddy-covariance flux measurements of methane and nitrous oxide
inferredcites →https://doi.org/10.21105/joss.03418openalex-snapshot
flux-data-qaqc: A Python Package for Energy Balance Closure and Post-Processing of Eddy Flux Data
inferredcites →https://doi.org/10.3390/f15020355openalex-snapshot
The Pulses of Soil CO2 Emission in Response to Rainfall Events in Central Siberia: Revisiting the Overall Frost-Free Season CO2 Flux
inferredcites →https://doi.org/10.5194/acp-17-9333-2017openalex-snapshot
Net ecosystem exchange and energy fluxes measured with the eddy covariance technique in a western Siberian bog
inferredcites →https://doi.org/10.5194/amt-9-4915-2016openalex-snapshot
Quantifying the uncertainty of eddy covariance fluxes due to the use of different software packages and combinations of processing steps in two contrasting ecosystems
inferredcites →https://doi.org/10.5194/bg-13-4615-2016openalex-snapshot
Mapping of West Siberian taiga wetland complexes using Landsat imagery: implications for methane emissions
inferredcites →https://doi.org/10.5194/bg-15-5015-2018openalex-snapshot
Basic and extensible post-processing of eddy covariance flux data with REddyProc
inferredcites →https://doi.org/10.5194/bg-17-1367-2020openalex-snapshot
A robust data cleaning procedure for eddy covariance flux measurements
inferredcites →https://doi.org/10.5194/bg-18-4681-2021openalex-snapshot
Carbon balance of a Finnish bog: temporal variability and limiting factors based on 6 years of eddy-covariance data
inferredcites →https://doi.org/10.5194/bg-19-3921-2022openalex-snapshot
CO 2 and CH 4 exchanges between moist moss tundra and atmosphere on Kapp Linné, Svalbard
inferredcites →https://doi.org/10.5194/bg-20-545-2023openalex-snapshot
Meteorological responses of carbon dioxide and methane fluxes in the terrestrial and aquatic ecosystems of a subarctic landscape
inferredcites →https://doi.org/10.5194/bg-22-257-2025openalex-snapshot
Explainable machine learning for modeling of net ecosystem exchange in boreal forests
inferredcites →https://doi.org/10.5194/bg-3-571-2006openalex-snapshot
Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation
inferredcites →https://doi.org/10.5194/bg-5-1475-2008openalex-snapshot
Peatlands and the carbon cycle: from local processes to global implications – a synthesis
inferredcites →https://doi.org/10.5194/bg-9-4071-2012openalex-snapshot
Northern peatland carbon stocks and dynamics: a review
inferredcites →https://doi.org/10.5194/essd-13-3607-2021openalex-snapshot
FLUXNET-CH 4 : a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands
inferredcites →https://doi.org/10.5194/essd-17-1873-2025openalex-snapshot
Global Methane Budget 2000–2020
inferredcites →https://doi.org/10.5194/essd-17-965-2025openalex-snapshot
Global Carbon Budget 2024
inferredcites →https://doi.org/10.5194/gi-10-123-2021openalex-snapshot
A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers
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