nicolasfauchereau

Auckland_Cycling

An analysis of cycling counts in Auckland in relation to the weather

ICU_Water_Watch

Repository for the code, notebooks and scripts for the ICU "Water Watch" (Drought monitoring and forecasting for the Southwest Pacific)

BAMS_STOC_2022

Jupyter notebooks to reproduce the figures for the 'Pacific Convergence Zones' chapter of the BAMS State of the Climate report for 2022

A-Robust-Generative-Adversarial-Network-Approach-for-Climate-Downscaling

Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"

acccmip6

Python package for accessing and downloading CMIP6 database

ace

AI2 Climate Emulator

AIES_D_23_0094

The major source code of the paper "Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model"

BiasAdjustCXX

Bias correction command-line tool for climatic research written in C++

Chapter-11

IPCC AR6 Chapter 11 - analysis and visualization code

climate-learn

Source code for ClimateLearn

cpp

dl4ds

Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data

ehfheatwaves

A script to calculate heatwaves from AWAP

factor_analyzer

A Python module to perform exploratory & confirmatory factor analyses.

jsmetrics

A Python package of algorithms and metrics used to characterise and identify jet streams, based on xarray.

OISST_indices

indices and maps derived from the daily OISST v2 product

openai-python

The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.

PICT_notebooks

code (paleopy) and notebooks for the PICT standalone version

PyESD

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

python-cmethods

A collection of bias correction techniques wirtten in Python - for climatic research.

qqscale

Code for quantile-quantile scaling

SBCK

scikit-downscale

Statistical climate downscaling in Python

seatac-txx

Code for extreme temperature analysis at Seattle-Tacoma airport

selenium-python-helium

Selenium-python but lighter: Helium is the best Python library for web automation.

sketchbook-earth

Sketchbook Earth: Illustrated Climate Chronicles

SST_forecasting

SST forecasting and validation, leveraging the C3S MME

sup3r

The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

TLDR

TLDR for ChatGPT

xmhw

Xarray version of Marine Heatwaves code by Eric Olivier