Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms

By G. Tramontana, Martin Jung, C. Schwalm, K. Ichii, Gustau Camps-Valls, B. Raduly, Markus Reichstein, M. A. Arain, Alessandro Cescatti, G. Kiely and 5 more. 2016

715 citations recorded by the source corpus.

Abstract. Spatio-temporal fields of land–atmosphere fluxes derived from data-driven models can complement simulations by process-based land surface models. While a number of strategies for empirical models with eddy-covariance flux data have been applied, a systematic intercomparison of these methods has been missing so far. In this study, we performed a cross-validation experiment for predicting carbon dioxide, latent heat, sensible heat and net radiation fluxes across different ecosystem types with 11 machine learning (ML) methods from four different classes (kernel methods, neural networks, tree methods, and regression splines). We applied two complementary setups: (1) 8-day average fluxes based on remotely sensed data and (2) daily mean fluxes based on meteorological data and a mean seasonal cycle of remotely sensed variables. The patterns of predictions from different ML and experimental setups were highly consistent. There were systematic differences in performance among the fluxes, with the following ascending order: net ecosystem exchange (R2   0.6), gross primary production (R2> 0.7), latent heat (R2 > 0.7), sensible heat (R2 > 0.7), and net radiation (R2 > 0.8). The ML methods predicted the across-site variability and the mean seasonal cycle of the observed fluxes very well (R2 > 0.7), while the 8-day deviations from the mean seasonal cycle were not well predicted (R2

Subfields: Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5da7d71daef7821fefb1e1f3e86e52add5813a38

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In Global and Planetary Change

Citations in the corpus

The Global Distribution of Biological Nitrogen Fixation in Terrestrial Natural Ecosystems (2020, methodology): “…of a BNF value: • Mean annual gross primary productivity (GPP) based on FLUXCOMRS+METEOwith CRUNCEPv6 climate, average of 2000–2010 (Jung et al., 2017; Tramontana et al., 2016); • Mean annual NPP from the Coupled Model Intercomparison Project Phase 6 model UKESM1 (United Kingdom Earth System Model…”
Compensatory water effects link yearly global land CO2 sink changes to temperature (2017, background): “5 1 6 | N A T U R E | V O L 5 4 1 | 2 6 j A N U A R y 2 0 1 7 LETTER doi:10.1038/nature20780 Compensatory water effects link yearly global land CO2 sink changes to temperature Martin jung1, Markus Reichstein1,2, Christopher R. Schwalm3, Chris Huntingford4, Stephen Sitch5, Anders Ahlström6,7, Almut A”
OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence (2017, methodology): “To investigate this latter possibility, we repeatedouranalysesusingbothFLUXCOM(34)and Moderate Resolution Imaging Spectroradiometer (MODIS) GPP products (35, 36) at flux tower– specific pixels during the OCO-2 overpass dates.”