nicolasfauchereau

climate_data_analytics

Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)

ML4seas

Repository for the (mostly Python) code developed as part of the MBIE Smart Ideas project on Machine Learning for seasonal climate forecasting in New Zealand

ML4SeasonalForecasts

A set of Python modules and Jupyter notebook exploring the potential of Machine Learning for downscaling seasonal climate forecast models

Python_learning_path

NIWA Python Learning path

DL4SEAS

Repository for experiments using Deep Learning for Seasonal Climate Forecasting over New Zealand

GAN_art

Some notebooks for experimenting with Generative Adversarial Network (GAN) art

Pacific_RCC

Code for the Pacific RCC ENSO tracker and other products

Python_Wellington_Sept2020

Vanuatu

Vanuatu SST and Rainfall monitoring code and ressources

Wellington_Python_Workshop_April_2019

Github repository for the NIWA Wellington Python workshop's material

BAMS_SOTC_2019

code to produce the figures included in the BAMS "State of the Climate 2019" report, section on the Pacific Convergence Zones

ESRI_notebooks_redux

reimplementation of some ESRI example notebooks without ARCGIS, work in progress

ICU_Web

NIWA's Island Climate Update realtime and forecast products for the Pacific region

Island_Climate_Update

code for the Island Climate Update processes

weather_maps

notebooks for making basic weather maps from online data

ClimateNetworks

A repository of resource on the application of network analysis to climate science

cmip6-downscaling

Climate downscaling using CMIP6 data

DiscoveringStatistics

Discovering Statistics with Python (a Python port of "Discovering Statistics using IBM SPSS Statistics" by Andy Field)

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

generative-downscaling

Research and experiments for downscaling climate/weather data via generative learning

nicolasfauchereau.github.io

Nicolas Fauchereau's personal website

NZ_SST_EEZ

Notebook to calculate the area-weighted annual SST within Aotearoa's Exclusive Economic Zone

PRML

PRML algorithms implemented in Python

pTE

pseudo transfer entropy

scikit-downscale

Statistical climate downscaling in Python

solarpunk

Some Zim notebooks related to solapunk resources, thoughts, writings etc

ST-DBSCAN

Implementation of ST-DBSCAN algorithm based on Birant 2007

subseasonal_toolkit

Subseasonal forecasting models

WeatherBench

A benchmark dataset for data-driven weather forecasting

xmca

Maximum Covariance Analysis in Python