Published April 21, 2021 | Version v1
Dataset Open

Parameters and model results for sensitivity and uncertainty analysis of LPJ-GUESS

  • 1. University of Regensburg
  • 2. Karlsruhe Institute of Technology
  • 3. Technical University Munich

Description

This are the parameters and the model run results from LPJ-GUESS to perfrom a sensitivity and uncertainty analysis

Files

Files (34.4 GB)

Name Size Download all
md5:59ac8f0ce2de99d5c8e9f19780ac9101
664.0 MB Download
md5:938e4dbfb7befe473ef71cd5ac4f9ec0
6.5 GB Download
md5:1a72c13b18cc274fe172bdb06ce8e9c5
667.1 MB Download
md5:887395d2e67eaeabde6a275bc533bf04
666.4 MB Download
md5:0e12e8e009baf8d821b5dff046a9248d
2.8 GB Download
md5:6601e265ae570be0643f58ecd8f5f2c8
17.2 GB Download
md5:3a3444c4c20f0d0181d170291efc5502
3.0 GB Download
md5:4fb7eabc246cb9dca52741c67d36926d
2.9 GB Download