Archive dataset for sugarcane simulations with the JULES model

This dataset contains supporting information to simulate sugarcane growth and development with the JULES model. It provides a collection of csv files with crop responses to CO2, Temperature and Soil moisture conditions (CTW-response), comparison against field and regional observations (performance), and climate change projections (projections). The parameters' values and model configuration are provided in sub-folders "sim_db" and "jules_run". Model runs were carried out with wpy-jules, whereas the scientific documentation is described in Vianna et al. (2022). 

This work was supported by the Newton Fund through the Met Office Climate Science for Service Partnership Brazil (CSSP Brazil). We acknowledge the use of the Monsoon HPC system, maintained through a strategic partnership between the Met Office and the Natural Environment Research Council.

Summary:

- CTW-response: CSV files initiated with "C", "T" and "W"
- performance: CSV files with suffix "perf" as well as "yield_var"
- projections: CSV files with suffix "future"
- input: Folder "sim_db"
- configuration: Folder "jules_run"

References

Vianna et al. (2022). Improving the representation of sugarcane crop in the JULES model for climate impact assessment. Global Change Biology Bioenergy (https://doi.org/10.1111/gcbb.12989).