Application of probabilistic machine learning methods to predicting local alpine precipitation using large scale atmospheric data.

Probably the best curated list of data science books in Python

Source Code and Use Instructions for CESM2.1.0 on Scinet's Niagara- CFG Edition

Deep learning approaches for statistical downscaling in climate

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

Contains code for the post-processing of output from models taking part in the inter-comparison project DYAMOND (DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains)

Libraries for agro-meteorological and climate analysis. They include a numerical solution for three-dimensional water and heat flow in the soil, water balance, meteorological data interpolation, da…

Supplemental material for "Estimating a Social Cost of Carbon for Global Energy Consumption" (Rode et al., 2020). IN REVISION.

Contour Tracking of circulation anomalies (atmospheric blocking, cyclones and anticyclones) in weather and climate data

This repo contains an Agent-based Evacuation Model developed in NetLogo. This model is tailored to near-filed tsunami evacuation (for city of Seaside, OR) but can be adapted to any other city and a…

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

Converts JPL PODAAC GHRSST netCDF files to WPS Intermediate version 5 files

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Python forcing engine for WRF-Hydro

Python API for the WRF-Hydro model

Program for Agrometeorological Analysis

Source code for Claessen et al. 2019: Global biosphere--climate interaction: a causal appraisal of observations and models over multiple temporal scales. Biogeosciences, 16, 4851-4874, https://doi.…

This project achieves an explorative analysis of climate change and its impacts on Carbon Footprint, Drought occurrences, Agricultural Yield and Population. Dataset was obtained from World Bank and…

Python and R libraries to perform climate bias correction and test methods on chaotic attractors

The data and codes corresponding to the paper "Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach"

Analysis framework and collection of process-oriented diagnostics for weather and climate simulations

Precipitation and extreme precipitation in CMIP6

Working repository for planning/execution of the "Time of Emergence" project at the CMIP6 Hackathon

R package for developing and running Spatial Discrete Event Simulation models

NOAA MAPP Climate Testbed Project to develop Subseasonal to Seasonal (S2S) Climate Forecast Products for Watersheds

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to ex…

The automated workflow for setting up SWAT Models presented in Chawanda et al., 2019 EMS