Pictures from the Winter School on GEOframe

The course for doctoral students, post docs and young researchers in Hydrology, Forestry, and related disciplines will cover the simulation of the hydrological cycle of catchments of various sizes with the GEOframe system.  They say that all models are wrong but useful. However, with better tools you forecast and decide better.

The course has been completed and, please you can find below all the material, video, papers cited by clicking on the links.

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

Go to the first day - Go to the last page of the School

Instructors

• Michele Bottazzi
• Riccardo Rigon
• Niccolò Tubini

with material prepared by

• Marialaura Bancheri
• Giovanna Dalpiaz
• Francesco Serafin

honours also to Giuseppe Formetta  and Hydrologis from whom we inherited a  lot.

Please find below some pictures of the School. A class always busy until late. But this did not prevent some social life!

Go to the last page of the School

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.