Commanding OMS3 simulations from the Command Line (or from a Jupyter Notebook)

 The normal way to start OMS3 simulation is the use of its console. However, it could be convenient to command project simulations directly from the command line of a terminal (in Windows, in Mac OS, Linux users  know what a terminal is). 

The presentation above (click on the Figure) explain how to do it. Jupyter Notebooks can also be used as terminal. The presentation connects to a Notebook where it is done. 

How to read and decently plot a DEM with Python

I worked for long time to build  GISes (e.g. JGrass, uUdig and so on), an adventure that was supported and eventually taken in charge by Hydrologis. After accepting the reality the QGIS won the battle, I am not still satisfied with it and always looking to alternatives. One that I practice a little is to use as vehicle for mapping Jupyter and Jupyterlab. Therefore,  copying  around, I was able to produce decent maps. You can find one of the result of my search in the figure below.

Nothing really original from me: I copied from the bests I found and adapted to my desiderata. Clicking on the Figure above you access the Jupyter notebook where all the procedure is explained. Aa I wrote,  it is very much a work in progress. Therefore any suggestion is welcomed.

Ph.D. Miscellanea - Jupyter Notebook with R or Python on Statistics and Hydrology

This blog post is to share some of the notebooks provided by my Ph.D. students on the topics they follow in their Ph.D. classes. Please observe that some of the material are lecture notes by some of my colleagues. You can use them but you should cite the source when you do it.

• GEOstatistics (course held by Alberto Bellin)
• Statistics (course held by Stefano Siboni)

HPC school for PhD students at Department of Civil, Environmental and Mechanical Engineering

Among the initiative organized by our doctoral school there is this introduction to computing that can be od interest for beginners (with a little attitude).

Here below, please find the Software Carpentry lectures that were streamed on YouTube and are now present at our Department page.

Unix Shell introduction

Jupyter notebooks and a little of Python programming

Extreme Rainfall Distribution Estimation with Python (as a scripting language)

This post collects the Notebook used in my classes of Hydraulic Constructions and Hydrology for estimating the IDF curves. It is actually a work in progress.

For who wants to start with Python (for hydrologists), I suggest to give a look to my blog post Python general resources. 

Below my own resources.

0 - A smooth introduction to Python scripting

1 - Reading a data file and looking inside it

2 - Reading a new file csv file and storing the data in a pandas DataFrame

3 - Estimating the parameters of a Gumbel distribution with

• moments method
• maximum likelihood
• minimum squares

4 - Pearson's Test

5 - Fitting the curves (some error here)

     Fitting the curves 

6 - Estimating pipes diameters

7 - Reading and plotting a Raster ASCII File (and its statistics)

Data:

Paperopoli 2
Paperopoli 4

For who wants to do the same numerics with R, she should look "A few R scripts useful for hydrologists".