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Title: Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product

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 in understanding biogeochemical processes on an ecosystem level or global scale. However, the fluxes can only be measured at individual sites, e.g., by eddy covariance towers, and an upscaling of these local observations is required to analyze global patterns. Previous work focused on upscaling monthly, 8-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 timescales. 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 data set 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 thismore » 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 allows studying the important characteristics of diurnal patterns 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 timescales compared to the full half-hourly flux products. The global half-hourly data products are available at https://doi.org/10.17871/BACI.224.« less

Authors:
 [1];  [1];  [1]; ORCiD logo [2];  [2]
  1. Max Planck Society, Jena (Germany). Max Planck Inst. for Biogeochemistry
  2. Max Planck Society, Jena (Germany). Max Planck Inst. for Biogeochemistry; German Centre for Integrative Biodiversity Research, Leipzig (Germany); Michael Stifel Center Jena (Germany)
Publication Date:
Research Org.:
Oregon State Univ., Corvallis, OR (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1507382
Grant/Contract Number:  
FG02-04ER63911; FG02-04ER63917
Resource Type:
Accepted Manuscript
Journal Name:
Earth System Science Data (Online)
Additional Journal Information:
Journal Name: Earth System Science Data (Online); Journal Volume: 10; Journal Issue: 3; Journal ID: ISSN 1866-3516
Publisher:
Copernicus
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Bodesheim, Paul, Jung, Martin, Gans, Fabian, Mahecha, Miguel D., and Reichstein, Markus. Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product. United States: N. p., 2018. Web. doi:10.5194/essd-10-1327-2018.
Bodesheim, Paul, Jung, Martin, Gans, Fabian, Mahecha, Miguel D., & Reichstein, Markus. Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product. United States. doi:10.5194/essd-10-1327-2018.
Bodesheim, Paul, Jung, Martin, Gans, Fabian, Mahecha, Miguel D., and Reichstein, Markus. Fri . "Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product". United States. doi:10.5194/essd-10-1327-2018. https://www.osti.gov/servlets/purl/1507382.
@article{osti_1507382,
title = {Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product},
author = {Bodesheim, Paul and Jung, Martin and Gans, Fabian and Mahecha, Miguel D. and Reichstein, Markus},
abstractNote = {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 in understanding biogeochemical processes on an ecosystem level or global scale. However, the fluxes can only be measured at individual sites, e.g., by eddy covariance towers, and an upscaling of these local observations is required to analyze global patterns. Previous work focused on upscaling monthly, 8-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 timescales. 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 data set 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 allows studying the important characteristics of diurnal patterns 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 timescales compared to the full half-hourly flux products. The global half-hourly data products are available at https://doi.org/10.17871/BACI.224.},
doi = {10.5194/essd-10-1327-2018},
journal = {Earth System Science Data (Online)},
number = 3,
volume = 10,
place = {United States},
year = {2018},
month = {7}
}

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Bagging predictors
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Random Forests
journal, January 2001