Kolmogorov Arnold Networks

Causal discovery algorithms and tools for implementing new ones

A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data

The GeoDataViz Toolkit is a set of resources that will help you communicate your data effectively through the design of compelling visuals. In this repository we are sharing resources, assets and o…

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

PCR-GLOBWB (PCRaster Global Water Balance) is a large-scale hydrological model intended for global to regional studies and developed at the Department of Physical Geography, Utrecht University (Net…

Deep learning for multi-year ENSO forecasts Reproduction

The ISIMIP project provides long term precipitation record which we are using for machine learning and statistical analysis of rainfall onset within the West African region.

Automated generation of equal area cartograms ("Hexmaps") at any scale.

Suite of Jupyter Notebooks for calculation of regional and global metrics for evaluation of CMIP6 ESMs

This github repository documents the CMIP6 input dataset archival process at the IPCC DDC Partner DKRZ.

Create SST trend maps from CMIP6 output

Why do CO2 Quadrupling Simulations Warm More than Twice as Much as CO2 Doubling Simulations in CMIP6?

This project aims to study the impact of climate change on groundwater level in Mornag plain in Tunisia. Indeed, in the last few decades, aquifers all over the world have experienced notable water …

Calculating common drought metrics from gridded datasets

Code to create figures in Cowan et al. 2020, Nature Climate Change

Scripts to plot the figures from Parsons et al. (Nature Climate Change) ' Increased labor losses and decreased adaptation potential in a warmer world'

Figure 4 of perspective in consideration at Nature Climate Change - authored by Andrew Hoell

Antarctic Sea Ice Extent Reconstructions from Fogt et al. (2021), Nature Climate Change

Code for our NOAA CMIP6 drought project

Karmalkar and Horton, 2021, Nature Climate Change

Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series

Repository with the code and data for all figures from Chapter 9 of the IPCC AR6

The Hector Simple Climate Model

pkufubo use compact Earth system model

Python library to simulate evolutionary sequence data

GCAM -- The Global Change Analysis Model

Code for paper "The 2021 western North America heatwave amongst the most extreme events ever recorded globally"

Time-series of annual global surface air temperature anomaly data for the CMIP6 historical, SSP1-2.6, and SSP5-8.5 simulations.