DALEC-GRASS: Inference of grassland vegetation management from earth observation data. Validation against ground data from the North Wyke Farm Platform

Model inputs, model outputs and model code as used for, and presented in, "Myrgiotis, V., Harris, P., Revill, A., Sint, H. & Williams, M. Inferring management and predicting sub-field scale C dynamics in UK grasslands using biogeochemical modelling and satellite-derived leaf area data. Agr Forest Meteorol 307, 108466 (2021)."

The submission includes the following : (1) Model inputs for the three examined grassland fields (2) Model outputs for the three examined grassland fields (3) Results for the sensitivity-to-livestock-density analysis (4) The fortran code (.f90) of the DALEC-Grass model used in this study.

NOTES :
(1) The model's fortran (.f90) code can be compiled into a python shared object (.so). This allows the model to be imported and called as a standard python function
(2) In order to compile the .f90 into a python .so (using command line interface) navigate to the directory where the code is stored and run the following command "f2py -c DALEC_GRASS.f90 -m DALEC_GRASS"
(3) For information on model input variables please read the first lines in DALEC-GRASS.f90
(4) The model was implemented on a weekly time-step (weekly inputs/outputs)
(5) Dairy Fields : NW013 , Burrow Fields : NW006 , Great Field : NW002

Myrgiotis, Vasilis. (2021). DALEC-GRASS: Inference of grassland vegetation management from earth observation data. Validation against ground data from the North Wyke Farm Platform, 2015-2019 [dataset]. University of Edinburgh. School of GeoSciences. Global Change Ecology Lab. https://doi.org/10.7488/ds/3265.