Add to ORKGData requirements for calibration and validation of agro-ecosystem models were elaborated and a classification scheme for the suitability of experimental data for model testing and improvement has been developed. The scheme enables to evaluate datasets and to classify datasets upon their quality to be used in crop modelling
Site conditions and soil properties have a strong influence on impacts of climate change on crop pro...
The data set includes a current representative management treatment from detailed, quality-tested se...
This report, comprising Deliverable 6.17, in the AGFORWARD project brings together examples of model...
This deliverable focuses on the collation, screening, and consolidation of data for selected grassla...
The input data necessary for crop model simulations and data for their calibration/validation (and t...
The input data necessary for crop model simulations and data for their calibration/validation (and t...
For each region or agro-ecological zone in Europe the major cropping systems have been identified ba...
In the MACSUR project, there are several grassland models in use that were designed for and adjuste...
The collection of high-quality calibration data is essential for the estimation of parameter values ...
The study ROTATIONEFFECT aims to compare the output of different models simulating field data sets w...
This deliverable focuses on the development of methods for model evaluation in order to have unambig...
Data description paperThe development and validation of hydroecological land-surface models to simul...
Simulation modeling is an approach that describes processes of crop growth, development, and yield f...
A major effect of environment on crops is through crop phenology, and therefore, the capacity to pre...
This deliverable focuses on some illustrative results obtained with different grassland- specific, g...
Site conditions and soil properties have a strong influence on impacts of climate change on crop pro...
The data set includes a current representative management treatment from detailed, quality-tested se...
This report, comprising Deliverable 6.17, in the AGFORWARD project brings together examples of model...
This deliverable focuses on the collation, screening, and consolidation of data for selected grassla...
The input data necessary for crop model simulations and data for their calibration/validation (and t...
The input data necessary for crop model simulations and data for their calibration/validation (and t...
For each region or agro-ecological zone in Europe the major cropping systems have been identified ba...
In the MACSUR project, there are several grassland models in use that were designed for and adjuste...
The collection of high-quality calibration data is essential for the estimation of parameter values ...
The study ROTATIONEFFECT aims to compare the output of different models simulating field data sets w...
This deliverable focuses on the development of methods for model evaluation in order to have unambig...
Data description paperThe development and validation of hydroecological land-surface models to simul...
Simulation modeling is an approach that describes processes of crop growth, development, and yield f...
A major effect of environment on crops is through crop phenology, and therefore, the capacity to pre...
This deliverable focuses on some illustrative results obtained with different grassland- specific, g...
Site conditions and soil properties have a strong influence on impacts of climate change on crop pro...
The data set includes a current representative management treatment from detailed, quality-tested se...
This report, comprising Deliverable 6.17, in the AGFORWARD project brings together examples of model...