They say that all models are wrong but useful. However, with better tools you forecast and decide better.
The course will enroll at most thirty students and will be held at the Department of Civil, Environmental and Mechanical Engineering of Trento from January 8 to January 18 included.
The course will be of totally 68 hours (8 a day) of which 34 (4 each day) will be dedicated to laboratory and personal work under the supervision of tutors. The course includes as option to get an exam certification, upon the completion of an exercise, to have doctoral credits.
Subscription at: https://webmagazine.unitn.it/en/evento/dicam/44808/geoframe-newage-winter-school
Instructors
- Riccardo Rigon
- Michele Bottazzi
- Niccolò Tubini
- Giovanna Dalpiaz
- Marialaura Bancheri
The topics treated has been:
- Tuesday, January 8: Introduction to the course - What is OMS - What is GEOframe - Using Python and Jupyter for visualising Inputs and Outputs
- Wednesday, January 9- Catchments and Hydrologic Response Units delineation
- Thursday and Friday, January, 10 - 11 - Treatment of spatial data and Calibration
- Monday January 14 - Estimation of radiation components
- Tuesday, January 15 - Evaporation and Transpiration
- Wednesday, January 16 - Rainfall-Runoff modelling with various NewAGE components
- Thursday, January 17 - Rainfall-Runoff modelling with various NewAGE components
- Friday, January 18 - Opinions on hydrological modelling. Exercises on assignments.
- Epilogue and thanks
Why choosing GEOframe over other models/platforms ? I would say for:
- Flexibility: GEOframe is not a model but a system of components that interact at run-time. You can chose among various components options for any of the processes.
- Expandability: If you like to program, with a little investment in Java you can write your own component and make them to interact with the others without having to reinvent the wheel.
- Parallelism. Components work in parallel when their tasks do not interact, but this is transparent for you (we call it implicit parallelism).
- Spatial discretisation. A catchment is subdivided in parts (HRU) which can be modeled separately and are computed in parallel. The network structure is used to achieve the spatial parallelism. Its spatial modularity can be used to add/cut part of the basins without having to redo the spatial analysis, for doing multisite calibration, to progress the analysis of a larger basin in parts that are assembled together eventually.
- Beyond-state-of art components. Besides traditional approach to processes, we implemented a few new ideas for all the processes we covered.
- Reliability. GEOframe is currently used for the flood forecasting in real time by Regione Basilicata. It is not just a system for research that does not work in real cases.
- Tracers studies. Not treated in the school are present tools for doing tracers studies,
- Process based modelling. Not treated in the school, we have tools for integrating Richards equation in 1D, and we are developing tools for integrating it in 2d and 3d coupling it with the energy budget. These components will be able to interact with the other. We also started new developments on freezing soil and snow modelling.
After November 15 some work will be required to participant in order to setup their tools for running GEOframe. Installation of Java (version 8), installation of the Object Modelling System console, Installation of Python and Python notebooks, testing the use of some file formats. After the accomplishment of the requirements, students will be allow to bring their own study cases at the School.
Who wants to have early information or clarifications can write to me: riccardo.rigon at unit.it. Subscription page at:
Who wants to have early information or clarifications can write to me: riccardo.rigon at unit.it. Subscription page at:
https://webmagazine.unitn.it/en/evento/dicam/44808/geoframe-newage-winter-school
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