DALEC-GRASS: Inference of grassland vegetation management from earth observation data. Validation against ground data from the North Wyke Farm Platform
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https://datashare.ed.ac.uk/handle/10283/4194
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资源简介:
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
提供机构:
University of Edinburgh. School of GeoSciences. Global Change Ecology Lab
创建时间:
2021-12-20



