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a-beginner-guide-to-carry-out-extreme-value-analysis-with-codes-in-python

A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information for roof drainage design. The guide mainly focuses on extreme rainfall analysis.

awesome-geospatial

Long list of geospatial tools and resources

b-ama

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

clases

Ejercicios de la asignatura "Hidrología" del Master en Gestión Ingegral de Sistemas Hídricos de la Universidad de Cantabria

csvchat-langchain

CSV Chat with LangChain and OpenAI

data-analysis

Data Science Using Python

deepesdl-doc

Documentation for the DeepESDL project

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

hydrofunctions

A suite of convenience functions for working with hydrology data in an interactive Python session.

ibicus

Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.

intensity_duration_frequency_analysis

heavy rain as a function of the duration and the return period acc. to DWA-A 531 (2012) This program reads the measurement data of the rainfall and calculates the distribution of the rainfall as a function of the return period and the duration for duration steps up to 12 hours (and more) and return period in a range of '0.5a <= T_

ipython-notebooks

A collection of IPython notebooks covering various topics.

llama

Inference code for LLaMA models

neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

pjmax_explor_3sources

exploring the Pjmax from 3 sources CMIP6 climate models, PERSIAN_CDR and observed data, all for the station of hennaya

pydatadc_2018-tidy

PyData 2018 tutorial for tidying data

pysheds

:earth_americas: Simple and fast watershed delineation in python.

python-practical-application-on-climate-variability-studies

python-resources-for-earth-sciences

A Curated List of Python Resources for Earth Sciences

riccar-scraper

Scrape climate data from RICCAR

thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition