Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 72, Issue -, Pages 402-417Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2015.05.009
Keywords
Field experiments; Data quality; Crop modelling; Data requirement; Minimum data; Software
Categories
Funding
- European ministries [2812ERA_147, 2812ERA_154, 2812ERA_115, 2812ERA_42, 2812ERA_17, 2812ERA_189, 2812ERA_92, 2812ERA_99, 2812ERA_196]
- European ministries under FACCE-JPI [031A103B]
- US Department of Agriculture
- United Kingdom Department for International Development
Ask authors/readers for more resources
Experimental field data are used at different levels of complexity to calibrate, validate and improve agroecosystem models to enhance their reliability for regional impact assessment. A methodological framework and software are presented to evaluate and classify data sets into four classes regarding their suitability for different modelling purposes. Weighting of inputs and variables for testing was set from the aspect of crop modelling. The software allows users to adjust weights according to their specific requirements. Background information is given for the variables with respect to their relevance for modelling and possible uncertainties. Examples are given for data sets of the different classes. The framework helps to assemble high quality data bases, to select data from data bases according to modellers requirements and gives guidelines to experimentalists for experimental design and decide on the most effective measurements to improve the usefulness of their data for modelling, statistical analysis and data assimilation. (C) 2015 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available