Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Review article
29 Jan 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product
Paul Bodesheim1, Martin Jung1, Fabian Gans1, Miguel D. Mahecha1,2,3, and Markus Reichstein1,2,3 1Max Planck Institute for Biogeochemistry, Jena, Germany
2German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
3Michael Stifel Center Jena (MSCJ) for Data-Driven & Simulation Science, Jena, Germany
Abstract. Interactions between the biosphere and the atmosphere can be well characterized by fluxes between the two. In particular, carbon and energy fluxes play a major role for understanding biogeochemical processes on ecosystem level or global scale. However, the fluxes can only be measured at individual sites by eddy covariance towers and an upscaling of these local observations is required to analyze global patterns. Previous work focused on upscaling monthly, eight-day, or daily average values and global maps for each flux have been provided accordingly. In this paper, we raise the upscaling of carbon and energy fluxes between land and atmosphere to the next level by increasing the temporal resolution to subdaily scales. We provide continuous half-hourly fluxes for the period from 2001 to 2014 at 0.5◦ spatial resolution, which allows for analyzing diurnal cycles globally. The dataset contains four fluxes: gross primary production (GPP), net ecosystem exchange (NEE), latent heat (LE), and sensible heat (H). We propose two prediction approaches for the diurnal cycles based on large-scale regression models and compare them in extensive cross-validation experiments using different sets of predictor variables. We analyze the results for a set of FLUXNET tower sites showing the suitability of our approaches for this upscaling task. Finally, we have selected one approach to calculate the global half- hourly data products based on predictor variables from remote sensing and meteorology at daily resolution as well as half-hourly potential radiation. In addition, we provide a derived product that only contains monthly average diurnal cycles, which is a lightweight version in terms of data storage that still enables to study the important characteristics of diurnal courses globally. We recommend to primarily use these monthly average diurnal cycles, because they are less affected by the impacts of day-to-day variation, observation noise, and short- term fluctuations on subdaily scales compared to the plain half-hourly flux products. The global half-hourly data products are available at

Citation: Bodesheim, P., Jung, M., Gans, F., Mahecha, M. D., and Reichstein, M.: Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product, Earth Syst. Sci. Data Discuss.,, in review, 2018.
Paul Bodesheim et al.
Paul Bodesheim et al.

Data sets

Upscaled diurnal cycles of carbon and energy fluxes P. Bodesheim, M. Jung, F. Gans, M. D. Mahecha, and M. Reichstein
Paul Bodesheim et al.


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