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".

How Extremes Change Over Time

From EOS, vol 92, No 2, 11 January 2011:

" Average behavior is often studied, with well developed techniques from the field of statistics allowing for inferences to be readily made. However, in many atmospheric, hydrologic, and other Geophysical problems extremes are often of great interest. .... "

Here a link to the complete article:

from EOS







Here below a link to:

Richard Katz's work