CMWR 2026 - Session on Inverse Problems in Hydrosystem Modelling

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Anneli Guthke

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Mar 6, 2026, 3:19:15 AM (6 days ago) Mar 6
to AboutHydrology

Dear colleagues and friends,

this is a reminder for you to submit an abstract soon if you’re planning to attend this year’s CMWR in beautiful Bologna, Italy! The conference will take place from June 28th to July 2nd; abstract submission will close on March 9th.

You’ll find the session topics here: for session 6, we are seeking contributions on novel methods and insights in parameter inference, model choice, UQ in the widest sense. We’d love to hear your latest thoughts and are looking forward to an exciting and inspiring session. Please also share the flyer with interested colleagues to reach a diverse crowd and use this opportunity for our community to meet!

Hope to see you there, and let us know if you have any questions!

Best regards,

Anneli Guthke, Wolfgang Nowak & Monty Vesselinov

 

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Dr. Anneli Guthke

Leader of Research Group on Statistical Model-Data Integration

University of Stuttgart

Stuttgart Center for Simulation Science (SC SimTech)

https://www.simtech.uni-stuttgart.de/exc/research/junior-research-groups/statistical-model-data-integration/

CMWR_Inverse_Problems_Promotion_Flyer_2026-01.pdf

Bertoldi Giacomo

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Mar 9, 2026, 10:02:19 AM (2 days ago) Mar 9
to 'Alessandra Marzadri' via AboutHydrology

Dear colleagues and friends,

this is a reminder for you to submit an abstract soon if you’re planning to attend this year’s CMWR conference in beautiful Bologna, Italy!

The conference will take place from June 28th to July 2nd;
abstract submission deadline has been postponed to March 23.

You’ll find the session topics here.

For session 2 Computational ecohydrology, we are seeking contributions that advance the modeling of ecohydrological processes from micro to macro scales through (i) novel insights into dominant ecohydrological processes and scaling relationships, (ii) new developments in mathematical representations and model coupling, (iii) model-data integration, (iv) computational methods, (v) data-driven or hybrid modeling leveraging artificial intelligence and deep learning, and (vi) applications of computational models in both natural and managed ecosystems. 
We’d love to hear your latest thoughts and are looking forward to an exciting and inspiring session. Please also share with interested colleagues to reach a diverse crowd and use this opportunity for our community to meet!

Hope to see you there, and let us know if you have any questions!

Best regards,

Giacomo Bertoldi, Sara Bonetti, Xue Feng


 

Giacomo Bertoldi, PhD

Eurac Research

 

Senior Researcher

Institute for Alpine Environment

T +39 0471 055 314

M +39 331 6133 960

giacomo....@eurac.edu

 

Drususallee/Viale Druso 1

I-39100 Bozen/Bolzano
www.eurac.edu

 


 


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