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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. However, the basic steps are also suitable for other climatic or hydrologi

calculate-precipitation-based-agricultural-drought-indices-with-python

Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfall records that are often available. The mostly used precipitation-based indices consist of Decile Index (DI) Hutchinson Drought Severity Index (HDSI) Percen of Normal Index (PNI) Z-Score Index (ZSI) China-Z Ind

circulationanalogues

clim-data-pipeline

cmip6-temperature-demo

Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.

data-science-courses-mohau

datasciencecoursera

This is a project for a data science coursera course. The repository is intented for a collection own attempts of course exercises or mini projects.

datasharing

The Leek group guide to data sharing

downscaling-rnn-gan

Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields

drought-svi

Hands-on instructions on how to use satellite information for drought monitoring

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

ecological-drought-ml-modeling

📊🛰️ Data processing scripts, ML models, and Explainable AI results created as part of my Masters Thesis @ Johns Hopkins

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exploratory-data-analysis-project

This is a project for a data science coursera course project for assesment

exploratory_data_analysis

floyd-vukosi-khosa-hess-2018

Analysis scripts- Evaluation of soil moisture from CCAM-CABLE simulation, satellite based models estimates and satellite observations: Skukuza and Malopeni flux towers region case study

geemap

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

getting-and-cleaning-data

This is a project for a data science coursera course project for assesment

kubernetes-starter-kit-developers

Hands-on tutorial and Automation stack for an operations-ready DigitalOcean Kubernetes (DOKS) cluster.

landlab

Landlab codebase, wiki, and tests

machine-learning-resources

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

ml4eo-bootcamp-2021

Machine Learning for Earth Observation Training of Trainers Bootcamp

ml_components

Reusable Machine Learning Components

mooc-machine-learning-weather-climate

pangeo-cmip6-examples

Examples of analysis of CMIP6 data using xarray and dask

potential-vorticity

python code for dynamic tropopause calculations

practical-machine-learnig-project

practical-machine-learning-

practical-machine-learning-report2