The modelling group preparing the model comparison meets over two days on the 21st and 22nd of March at Utrecht University. The aims of the meeting are:-to go over the data sets that can be used for the model comparison,-to discuss the problems and possible solutions to transit time modeling encountered for these datasets using the R script developed during WATSON to that purpose,-and to begin putting together the publication, the technical document and the beginner’s guides.
For information send an email to julien.farlin@eau.etat.lu.
WG3 members developed a R script allowing to use the lumped parameter model (LPM) and the stream selection functions (SSF) approach to estimate parameters concerning storage volume and flow times through hydrological systems from input and output measurements of environmental isotopes. During the workshop, we discussed the suggestions given by the volunteers who tested the script since January.
During the workshop, participants also discussed other related issues such as the dependency of young water fraction on discharge regime, possible mechanistic functional relationships between both based on variable storage, and the quality of the different datasets that have been gathered to compare lumped parameter model (LPM) and the stream selection functions (SSF) approaches and results.
The outcomes of the workshop are being incorporated in an updated version of the script that will be available soon.
During the workshop, it was also decided to begin the analysis of some of the sample datasets, each illustrating the use of environmental isotopes in a specific hydrological system. The results of the model comparison and the script development will include:
- A scientific paper laying out the similarities and differences between LPM and SSF (and possible the young water fraction as well).
- A quick and compact beginner’s guide to the R script.
- A technical document presenting all the steps of storage and transit time estimation, from sampling to calibration and visualization.
Volunteers to test the code and analyze one or more datasets are welcome.
For information, please contact Julien Farlin (julien.farlin@eau.etat.lu)
