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 […]
Posts tagged WG3
Report from the 3rd PROFOUND spring school on model calibration and the subsequent WG3 meeting in 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 […]