Published October 28, 2022 | Version v1

LAMACLIMA_experiments_for_training_TIMBERv0.1

  • 1. Climate Analytics, ETH Zürich
  • 2. VU Brussels, Belgium
  • 3. Ludwig-Maximilians-University Munich, Department of Geography, Munich, Germany
  • 4. VU Amsterdam, Netherlands

Description

Datasets used to train TIMBER v0.1. Subfolders are as follows:

crop-ctl: local signals as extracted from full cropland expansion. Datasets for MPI-ESM and EC-EARTH mean surface temperature responses are provided under subfolder Amon/ts/ and datasets for CESM2 min/mean/max surface temperature responses are provided under subfolder cesm/<TSMN/TG/TSMX>

frst-ctl: same as crop-ctl but for local signals as extracted from full forest expansion

treeFrac: absolute tree cover maps are provided as <model>_CTL_*.nc and tree cover changes implemented in full forest (crop) expansion are provided as <model>_FRST(CROP)_CTL_*.nc

 

Files

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Additional details

Funding

European Commission
AXIS - Assessment of Cross(X)-sectoral climate Impacts and pathways for Sustainable transformation 776608