Posts tagged Model calibration

Report from the 3rd PROFOUND spring school on model calibration and the subsequent WG3 meeting in Grenoble, Fra...

A big thanks to all participants / lecturers of our 2017 PROFOUND spring school on Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models, and the subsequent WG3 meeting on the same topic. The aim of the spring school was, as ever, to teach Bayesian methods for the calibration of process-based models. The training […]

Report from the WG 3 meeting 2016, Grenoble, Fra...

The meeting of WG3 (see also invitation) concentrated on discussing the progress of WG 3 infrastructure (R packages) TG13: Model calibration review TG14: MCMC comparison TG15: Models with multiple data types The status of these TGs is that The model calibration R package is operational and will be released soon (contact Florian Hartig if you […]

PROFOUND Spring School: Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models in Rencurel / Grenoble, France, 12.-16. of ...

PROFOUND Spring School:  Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models in Rencurel / Grenoble, France, 12.-16. of May

COST Action FP1304 PROFOUND Spring School: Bayesian calibration, forecasting and multi-model predictions of process-based vegetation models This training school will enable participants to apply modern calibration and forecasting methods with their own forest models. The school will cover topics such as – Introduction to Bayesian methods for the calibration of vegetation models – How MCMCs […]