IAHS workshop on informative data in hydrology: abstract submission
When are hydrological data informative (or not)? Testing for information content in the face of sources of uncertainty

Dates: to be determined (from 29th May to 3rd June 2021)
Conveners: Pierre BRIGODE, Vazken ANDREASSIAN, Stacey ARCHFIELD, Keith BEVEN, Louise CROCHEMORE, Alexander GELFAN, Julien LERAT and Ralf MERZ.
Contact : pierre.brigode at inrae.fr
Sign in to Google to save your progress. Learn more
Financial participation
Subscription to the IAHS conference is compulsory but no additional fee will be required for the workshop.
Accommodation and meals are at the expense of the participants
Objectives
We propose to organize a collaborative workshop during 2022 IASH General Assembly to bring together a group of researchers around the following question:

Can we quantify the (dis)information content of the uncertain hydro-meteorological data series used in hydrology?

Participants will have to propose innovative solutions to identify informative or disinformative data taking account of sources of data uncertainty and to show how this classification might be used to produce more robust hydrological calculations and models. The participants are free to develop methods based on series analysis (e.g. analysis of runoff coefficients), statistical tests, rainfall-runoff modeling or machine learning. Contributions are welcomed in various domains: flood frequency analysis, regionalization, rainfall-runoff modeling (both lumped and semi-distributed), hydro-meteorological forecasting, modelling of climate change impact on water resources, etc.

Enter your IAHS 2022 registration number *
Last name *
First name *
Position *
Institution *
Email address *
Abstract title *
Co-author's name *
List of your co-author last names, separated by commas.
Abstract *
The abstract body can have up to 2300 characters.
Presentation request *
Submit
Clear form
Never submit passwords through Google Forms.
This form was created inside of AquaCloud. Report Abuse
Google Forms