LPJ-GUESS/LSM Model Forcing and Evaluation Data from FLUXNET2015

An archive of climate forcing data, evaluation fluxes, and model outputs used in a land surface model description paper. The data includes sensible heat, latent heat, and CO2 fluxes extracted from the FLUXNET2015 dataset. It was compiled by David Martin-Belda of the Karlsruhe Institute of Technology.

Use Cases

• Evaluating land surface model performance based on extracted sensible and latent heat flux data.
• Forcing terrestrial ecosystem simulations using the provided climate data extracted from FLUXNET2015.
• Reproducing the analysis from the model description paper using the included Python scripts.
• Comparing model output against observed CO2 fluxes for carbon cycle studies.

Strengths

• Data is directly linked to a peer-reviewed scientific paper and the FLUXNET2015 dataset.
• Includes both model inputs (climate forcing) and outputs alongside evaluation data, supporting full reproducibility.
• Provides the Python analysis scripts used to generate the paper's results.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

FLUXNET2015 dataset, as cited in the description.

Collection Method

Extracted from the FLUXNET2015 dataset for use in forcing and evaluating the LPJ-GUESS/LSM model.