Projects per year
Abstract
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
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
Data Citation
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.
Date made available | 20 Dec 2021 |
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Publisher | Edinburgh DataShare |
Temporal coverage | 1 Jan 2015 - 1 Jan 2019 |
Geographical coverage | North Wyke, South West England, United Kingdom,UNITED KINGDOM,UK |
Projects
- 2 Finished
-
Soils Research to deliver Greenhouse Gas REmovals and Abatement Technologies
Williams, M., Hillier, J. & Sohi, S.
20/06/17 → 19/06/21
Project: Research
-
Generating Regional Emissions Estimates with a Novel Hierarchy of Observations and Upscaled Simulation Experiments (GREENHOUSE)
Williams, M., Mencuccini, M., Moncrieff, J. & Reay, D.
1/04/13 → 31/03/17
Project: Research