Published February 1, 2020 | Version v1
Dataset Open

Supplementary Files to "Towards a global understanding of vegetation-climate dynamics at multiple time scales"

  • 1. Max Planck Institute for Biogeochemistry, Jena, Germany
  • 2. Department of Geography, Friedrich Schiller University Jena, Germany
  • 3. TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany

Description

TimeSeriesPaper_main_processing.html

Html version of Jupyter notebook exemplifying main data analysis steps in "Towards a global understanding of vegetation-climate dynamics at multiple time scales" (doi:10.5194/bg-17-945-2020). Please see the publication for further details. Notebook written in Julia v0.6

Fig2_Co_Oscillation_Regimes.nc

Data underlying Fig. 2 in "Towards a global understanding of vegetation-climate dynamics at multiple time scales" (doi:10.5194/bg-17-945-2020).

Classification of land surface by dominant scale of variability in Normalized Difference Vegetation Index (NDVI), air temperature, and precipitation. Dominant scale of variability was determined after Fourier decomposition, separately for each grid cell and summarized as unique combinations between variables (S - short-term, A - seasonal, L - longer-term, T - trend, listed in order NDVI, air temperature, precipitation). The semi-annual cycle is included in the seasonal band. Please see the publication for further details.

Files

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Additional details

Related works

Is supplement to
Journal article: 10.5194/bg-17-945-2020 (DOI)

References

  • Linscheid, N., Estupinan-Suarez, L. M., Brenning, A., Carvalhais, N., Cremer, F., Gans, F., Rammig, A., Reichstein, M., Sierra, C. A., and Mahecha, M. D.: Towards a global understanding of vegetation–climate dynamics at multiple timescales, Biogeosciences, 17, 945–962, https://doi.org/10.5194/bg-17-945-2020, 2020.