The Hydrology Class Lab 2025

 The lab component makes up nearly half of the course, following the motto:

"Learning by doing."

Throughout the lab, you will conduct at least three key numerical experiments:

• Time Series Analysis – Exploring various data elaborations with various Jupyter Notebooks and a little of Python
• Intensity-Duration-Frequency (IDF) Curves – Estimating rainfall intensity over different time scales with various Jupyter Notebooks and a little of Python, as well 
• Infiltration Experiments – Investigating soil absorption dynamics using the WHETGEO system
• Evaporation & Transpiration Experiments – Understanding water loss processes in different conditions using the GEOSPACE ssytem

Resources

🔹[Vimeo Showcase – General Lab Videos]

🔹[OSF Repository – Lab Materials]

🔹[Theory and Concepts here]

📌 Detailed videos and materials for each experiment are listed below.

 2025-03-03 Introduction to working with Jupyter and Notebooks

• A little introduction to Jupyter Notebook by Concetta D'Amato (YouTube2020, Data). 
• A little of introduction
• Elementary operations 
• Vimeo2025
• Vimeo2024 part1
• Vimeo2024 part2
• Reading a CSV file with PANDAS 
• The Class Notebook I
• Vimeo2025 part1
• Vimeo2025 part 2
• Pluviometria Paperopoli
• Notebook
• Vimeo2024,  Vimeo2023, Vimeo2022, Vimeo2021, YouTubeLive 2019, YouTubeVideo2020

2025-03-10 How to read and plot data

• Reading an Excel File 
• The Class Notebook II
• Vimeo2025
• (Vimeo2024, Vimeo 2023)
• Data 
• Notebook
• Reading a timeseries of daily rainfall organized in a Table whose rows contains the days and columns different years 
• Data (Daily Precipitation od San Martino di Castrozza from 1921 to 1990)
• Notebooks:
• Reading the Data and creating a PANDAS time series 
• The Class Notebook I
• The Class Notebook II
• The Class Notebook III
• Vimeo2025
• Vimeo 2024 part I , Vimeo 2024 part II
• (Vimeo 2023 Part I, Vimeo2023 Part II)
• (Vimeo2022 PartI, Vimeo2022 Part II)
• Same thing as above (Vimeo2022)
• Chat GPT use suggestions (Vimeo2024)
• Other ChatGPT suggestions (Vimeo2024)
• Grouping the data by year (Vimeo 2022)
• A better plot of the time series 
• Monthly mean precipitation (Vimeo2022)
• Counting the events and producing their empirical statistics (Vimeo2025)
• (Vimeo2022)

2025-03-25 San Martino Reprise

• Same data as above but with some modified notebooks
• Vimeo2025
• Notebooks:
• San Martino Rainfall
• First elaboration
• Yearly statistics
• A better plot
• Monthly rainfall averages

2025-03-31 Gumbel derivation

Interpolating the Gumbel distribution to annual precipitation maxima

• with using the mean and the variance (Notebook, Vimeo2025, Vimeo2024, Vimeo2023)
• with the maximum likelihood (Notebook, Vimeo2025 I, Vimeo2025 II, Vimeo2024, Vimeo2023)
• with the minimum square methods (Notebook, Vimeo2025 ,Vimeo2024, Vimeo2023)
• Il test di Pearson (Notebook, Vimeo2025, Vimeo2024, Vimeo 2023)
• Finally interpolating the curves (Notebook, Vimeo2025, Vimeo2024, Vimeo2023)

2025-04-08 Where to find the data

• Finding the data for the Time Series Analysis (Vimeo2025)

2025-05-05 - Installations

• Installing the GEOframe_vincennes environment
• Installing the Java Development toolkit V11

2025-05-06  

Below, you'll discover the resources for the second part of the lab, which encompass instructions for utilizing Object Modelling System version 3 (OMS3) models such as WHETGEO1D and GEOET. Within the OMS Projects, you'll find a directory named Jupyter_Notebook, housing sets of notebooks designed to guide you through handling both input and output data for these programs.

A general introduction to some OMS3 concepts

• A Short introduction to OMS3 (Vimeo2025, Vimeo2024)
• The Working Environment (Vimeo2025, Vimeo2024)
• The Simulation File (Vimeo2025, Vimeo2024)

2025-05-11

• Executing OMS from Jupyter Notebooks
• The OMS3 Console (Vimeo 2025)
• Console in practice
• Download Utilities For the Java searching Notebook
• Additional instructions to run the console (Vimeo2025 I , Vimeo2025 II)

 Introduction to Infiltration with WHETGEO 1D. WHETGEO specifically focuses on simulating the coupled processes of water and heat transport, which are crucial for understanding: Soil moisture dynamics, Evapotranspiration processes, Energy balance at the land surface, Groundwater-surface water interactions, Snow and ice processes (where temperature is critical)

• Material
• Additional material (oms.py and Runner_ex0_example.ipynb)
• Creation of the WHETGEO - 1D Grid (Vimeo2025, Vimeo2024)
• Introduction to WHETGEO - 1D (Vimeo2024)
• The New WHETGEO runner (just copy and modify the  Runner_ex0_example.ipynb)
• Ways to visualize the output (Vimeo2025, Vimeo2024)
• Summary of the instructions (Vimeo2025,Vimeo2024)
• Time Series Formatter (Vimeo2024)
• How to run the simulation (Vimeo2024)
• Building a WHETGEO simulation from the scratch (Vimeo 2022)
• A reference only for the brave: Tubini and Rigon, GMD 2022

2025-06-03

    Radiation estimation is preliminary to any Evapotranspiration estimation since our models use it as input. The estimation of radiation, as it results from the theory, needs a few GIS operations to determine the sky view factor and the aspect of the terrain in the point of interest. These operation for the present exercise are skipped and pre-analyzed data are provided. 

• Please see the 05_NET.sim file in the project's simulation folder (Vimeo2025)
• Inputs are in Input_Radiation.ipynb (Vimeo2025)
• Outputs are in the Output_Radiation.ipynb (Vimeo2025)
• The simulation runner is Runner_NetRadiation.ipynb (Vimeo2025)