FLUXNET2015 CH-Cha Chamau

Hörtnagl, Lukas; Feigenwinter, Iris; Fuchs, Kathrin; Merbold, Lutz; Buchmann, Nina; Eugster, Werner; Zeeman, Matthias; Pluess, Peter; Käslin, Florian; Meier, Philip; Koller, P. P.; Baur, Thomas

doi:10.18140/flx/1440131

2016

DOI: 10.18140/flx/1440131

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FLUXNET2015 CH-Cha Chamau

Lukas Hörtnagl

Iris Feigenwinter

Kathrin Fuchs

et al.

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Cited by 3 publications

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A New Post‐Hoc Method to Reduce the Energy Imbalance in Eddy Covariance Measurements

Zhang,

Nelson,

Miralles

et al. 2024

Geophysical Research Letters

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Latent and sensible heat flux observations are essential for understanding land–atmosphere interactions. Measurements from the eddy covariance technique are widely used but suffer from systematic energy imbalance problems, partly due to missing large eddies from sub‐mesoscale transport. Because available energy drives the development of large eddies, we propose an available energy based correction method for turbulent flux measurements. We apply our method to 172 flux tower sites and show that we can reduce the energy imbalance from −14.99 to −0.65 W m−2 on average, together with improved consistency between turbulent fluxes and available energy and associated increases in r2 at individual sites and across networks. Our results suggest that our method is conceptually and empirically preferable over the method implemented in the ONEFlux processing. This can contribute to the efforts in understanding and addressing the energy imbalance issue, which is crucial for the evaluation and calibration of land surface models.

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A New Post‐Hoc Method to Reduce the Energy Imbalance in Eddy Covariance Measurements

Zhang,

Nelson,

Miralles

et al. 2024

Geophysical Research Letters

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Improving MODIS Gross Primary Productivity by Bridging Big‐Leaf and Two‐Leaf Light Use Efficiency Models

Ma,

Guan,

Chen

et al. 2024

JGR Biogeosciences

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Gross primary productivity (GPP) is an important component of the terrestrial carbon cycle in climate change research. The global GPP product derived using Moderate Resolution Imaging Spectroradiometer (MODIS) data is perhaps the most widely used. Unfortunately, many studies have indicated evident error patterns in the MODIS GPP product. One of the main reasons for this is that the applied big‐leaf (BL) MOD17 model cannot properly handle the variable relative contribution of sunlit and shaded leaves to the total canopy‐level GPP. In this study, we developed a model for correcting the errors in the MODIS GPP product by bridging BL and two‐leaf (TL) light use efficiency (LUE) models (CTL‐MOD17). With the available MODIS GPP product, which considers environmental stress factors, the CTL‐MOD17 model only needs to reuse the two inputs of the leaf area index (LAI) and incoming radiation. The CTL‐MOD17 model was calibrated and validated at 153 global FLUXNET eddy covariance (EC) sites. The results indicate that the modeled GPP obtained with the correction model matches better with the EC GPP than the original MODIS GPP product at different time scales, with an improvement of 0.07 in R2 and a reduction in root‐mean‐square error (RMSE) of 117.08 g C m−2 year−1. The improvements are more significant in the green season when the contribution of shaded leaves is larger. In terms of the global spatial pattern, the obvious underestimation in the regions with high LAI and the overestimation in the low LAI regions of the MODIS GPP product is effectively corrected by the CTL‐MOD17 model. This paper not only bridges the BL and TL LUE models, but also provides a new and simple method to obtain accurate GPP through reusing two inputs used in producing the MODIS GPP product.

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The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

et al. 2020

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The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

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FLUXNET2015 CH-Cha Chamau

Cited by 3 publications

References 0 publications

A New Post‐Hoc Method to Reduce the Energy Imbalance in Eddy Covariance Measurements

A New Post‐Hoc Method to Reduce the Energy Imbalance in Eddy Covariance Measurements

Improving MODIS Gross Primary Productivity by Bridging Big‐Leaf and Two‐Leaf Light Use Efficiency Models

The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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