The Hydrological Modelling Class 2022 – The Lab


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  • Michele Vettorazzi, Environmental Engineer and Photographer

    2021-03-22 – Using The Horton Machine Toolbox – Part II (Vimeo2021)
2021-03-29 – Using The Horton Machine Toolbox – Part III (Vimeo 2021)
2021-04-30 – Nera catchment
  • DEM data
  • Python Notebook to visualize basins. Warning it requires some libraries like rasterio that are not at present inserted in the geoframe_rossano environment.
2021-05-03 – QGIS & Other Info 
  • Where are my data ? (Zoom2020, PDF) 
  • A little about GIS
    • Brief introduction to GIS (Zoom2020 , Vimeo2021, PDF)
    • Raster in QGIS (Vimeo2021)
    • How to create a shapefile with QGIS (Vimeo2021)
    • Files etc
    • Old  material 
      • QGIS (Zoom2020 Part I, Zoom2020 Part II, PDF)
      • Material for QGIS (
      • Extra notes on GIS not addressed in class( PDF I, PDF II
  • Time series
    • Debate on data ( Zoom2020)
    • Handle time series (Zoom2020)
    • Material on time series (
    • Discharge notebook 
For who has never seen OMS and GEOframe: an introduction to the GEOframe/OMS3 system
  •  Storyboard of the class 
  • Introduction to the Object Modelling System (The manual chapter here, YouTube 2019,YouTube2020, Vimeo 2021)
  • The Working Environment (The manual chapter here, YouTube 2019,YouTube2020, Vimeo 2021)
  • The .sim files (The manual chapter here, YouTube 2019,YouTube2020, Vimeo 2021)
  • The main features of the Console (YouTube2020, Vimeo 2021)
  • Further examples and details
    • can be found at the Winter School 2021 pages (in English) with videos
*2021-05-07 – Working on the Nera Catchment
Today  we will work on the morphology of the Nera Catchment. We will use it for our simulations afterwords (we chose it because we have enough data to do a decent job). Therefore everybody will be asked to repeat the operations already illustrated in the classes of 15,22 and 29 of  March but  on a different catchment
  • The larger  DEM containing the Nera Catchment
  • The Hydrometric stations shapefiles
  • Elaborations on the Nera Catchment (Vimeo 2021 –  part I, part II)
*2021-05-10 – Nera files
  • The Nera Project by Shima Azimi (This is the OMS3 project generated by Shima. You can generate your project by simply copying it and cleaning from the various specific files. The great of this is that you can redistribute executable, data, outputs and the scripts that drive the simulations all together to everybody with almost no effort)
  • The Jupyter Notebook for creating the .sim file in the appropriate folders (Vimeo 2021)
*2021-05-14 – Nera files
  • Running the Nera Example (Vimeo2021)
  • Explanation of the graph.sim file (Vimeo2021)
    • Same topic, more detailed but on a different catchment from the GWS2021 (VimeoGWS2021)
    • Another view of the Net3 graph (for sending in parallel various simulations with the Prospero ET model)
  • Explanation of the contents of a single .sim of ERM (Vimeo2021)
For more details see also:
  • The Rainfall-Runoff GWS page 
*2021-05-17 – Dealing with time series
  • Data for the class (the zip file contains data and Jupyter Notebooks)
    • What is in the Jupyter Notebooks (Vimeo2021)
  • The OMS3 csv file (Vimeo2021)
    • Creation of an OMS3 csv file with Python (Vimeo2021)
*2021-05-21 – Dealing with time series II
  • Getting the data (from Meteo Trentino) and checking the data integrity (Vimeo2021)
  • Getting the data (from Ufficio Idrografico di Bolzano). Just the Notebooks here. 
  • Other data for the class and even other data (the zip file contains data and Jupyter Notebooks)
  • Checking the data from the hydrological point of view (Vimeo2021)
*2021-05-24 – Interpolation of  data
Interpolation of  ground station data is a necessary step for the simulations. The method used is the Kriging (see the lectures given March 1 and March 5 2021). Some issues can be risen when data has to be positive definite, like in the case of rainfall. To avoid them, the data can be transformed in such a way they obey a normal distribution. This technique is called Normal score and it is shown below. The example of interpolation is performed by using some available data that should be downloaded.
  • The Normal Score (Vimeo 2021)
  • The Example (alternative download of the data) (Vimeo2021)
  • Again on Kriging (Vimeo2021)
  • Leave One Out (Vimeo2021)
*2021-05-31 – Radiation and Evaporation
When estimating the discharges with GEOframe-ERM,  we need to estimate the potential evapotranspiration. This, in turn, requires the estimation of radiation. In these lectures we remind how to do it.
  • The estimation of Radiation (Vimeo2021)
  • The estimation of Evapotranspiration (Vimeo2021)
*2021-06 – A last step into the Embedded Reservoirs Modelling solution (ERM)
Previously we just used a prepared case with ERM on Nera catchment. Here we clarify some of the missing passages. 
  • How to create the sim files for the ERM simulations using the distributed environment Net3 (Vimeo2021)

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