Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes

By A. Moffat, Dario Papale, Markus Reichstein, David Y. Hollinger, Andrew D. Richardson, A. Barr, C. Beckstein, B. Braswell, G. Churkina, A. Desai and 8 more. 2007

949 citations recorded by the source corpus.

Subfields: Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/27f2bfa1cbefcd034156eea32825133aca92a7f1

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In Global and Planetary Change

Citations in the corpus

A new methodology to interpret high resolution measurements of net carbon fluxes between terrestrial ecosystems and the atmosphere (2012, methodology): “Different types of artificial gaps from “very short” with a gap length of single half-hours to “long” with a gap length of ten days were considered in the gap filling comparison (Moffat et al., 2007).”
Seasonal Variations of Carbon Dioxide, Water Vapor and Energy Fluxes in Tropical Indian Mangroves (2016, methodology): “ [36] and is currently employed by CarboEurope.”
Recent decline in the global land evapotranspiration trend due to limited moisture supply (2010, positive): “We processed half-hourly eddy covariance data from 253 globally distributed flux towers 3 using standardized gap-filling and quality-control algorithms 21,22 and a correction for incomplete energy balance closure 23 .”
Modeling plant–water interactions: an ecohydrological overview from the cell to the global scale (2016, background): “Flux-tower measurements are instead an up-scaled quantity but have problems of continuity and interpretation.(442,443) Despite wellrecognized issues,(444,445) flux-tower observations have represented and still represent the major source of validation for ecohydrological and terrestrial biosphere mod”
Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval (2008, result): “…deficiencies in modeling processes responsible for extreme (positive and negative) NEP observations, but also reflect noise in the observed eddy flux data themselves that is not reproduced by the model [Moffat et al., 2007], which ultimately limit the agreement between models and observations.”
Improving land surface models with FLUXNET data (2009, methodology): “The need for harmonized data processing has been recognized in the different networks, and respective processing schemes documented in the literature (Foken and Wichura, 1996; Aubinet et al., 2000; Falge et al., 2001; Reichstein et al., 2005; Papale et al., 2006; Moffat et al., 2007).”
‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems (2008, methodology): “Inter-comparisons of gap-filling methods indicate that the neural-network method is among the best, although in general, biases associated with different gap-filling methods tend to be small and academic (Falge et al. 2001; Papale et al. 2006; Moffat et al. 2007).”
Statistical properties of random CO2 flux measurement uncertainty inferred from model residuals (2008, methodology): “…used for evaluation of a standardized data processing algorithm for half-hourly data (Papale et al., 2006), a comprehensive gap filling comparison (Moffat et al., 2007), and an evaluation of different algorithms for partitioning NEE to its component fluxes, gross productivity and ecosystem…”
Technical Note: Comparing the effectiveness of recent algorithms to fill and smooth incomplete and noisy time series (2011, background): “Various researchers have addressed aspects of these questions (see, e.g.,Moffat et al., 2007), but recent advances in the treatment of irregular time series (see, e.g.,Hocke and Kämpfer, 2009; Kondrashov and Ghil, 2006) suggested to conduct an evaluation of some of the methods recently published…”