Articles | Volume 9, issue 1
https://doi.org/10.5194/gi-9-239-2020
https://doi.org/10.5194/gi-9-239-2020
Research article
 | 
29 May 2020
Research article |  | 29 May 2020

Soil CO2 efflux errors are lognormally distributed – implications and guidance

Thomas Wutzler, Oscar Perez-Priego, Kendalynn Morris, Tarek S. El-Madany, and Mirco Migliavacca

Data sets

Data for "Soil CO2 efflux errors are lognormally distributed - Implications and guidance." T. Wutzler, O. Perez-Priego, K. Morris, T. S. El-Madany, M. Migliavacca, M. Schrumpf, M. Pöhlmann, E. Weber, and A. Carrara https://doi.org/10.5281/zenodo.3735751

Model code and software

bgctw/lognorm: GID publication T. Wutzler https://doi.org/10.5281/zenodo.3735804

bgctw/RespChamberProc: GID publication T. Wutzler and T. T. Rademacher https://doi.org/10.5281/zenodo.3735807

Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Continuous data of soil CO2 efflux can improve model prediction of climate warming, and automated data are becoming increasingly available. However, aggregating chamber-based data to plot scale pose challenges. Therefore, we showed, using 1 year of half-hourly data, how using the lognormal assumption tackles several challenges. We propose that plot-scale SO2 efflux observations should be reported together with lognormally based uncertainties and enter model constraining frameworks at log scale.