nicolasfauchereau

ACRE_workshop

Climate indices and synoptic types in Python

Auckland_Cycling

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

Auckland_Python_Workshop

Python for Climate and Meteorological Data Analysis and Visualisation

climate_data_analytics

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

ICU_Water_Watch

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

metocean

Python for ocean - atmosphere science and engineering

NIWA_Python_seminars

A series of IPython notebooks on Python for data analysis geared towards environmental sciences

Pacific_RCC

Code for the Pacific RCC ENSO tracker and other products

paleopy

implements bases classes, methods and functions for PICT (Past Interpretation of Climate Tool)

Python-for-data-analysis-and-visualisation

NIWA Scientific Python tutorial, April 2015, Wellington, New Zealand

nicolasfauchereau/Auckland_Cycling

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

nicolasfauchereau/ICU_Water_Watch

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

nicolasfauchereau/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

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

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

nicolasfauchereau/acccmip6

Python package for accessing and downloading CMIP6 database

nicolasfauchereau/ace

AI2 Climate Emulator

nicolasfauchereau/AIES_D_23_0094

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

nicolasfauchereau/BiasAdjustCXX

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

nicolasfauchereau/Chapter-11

IPCC AR6 Chapter 11 - analysis and visualization code

nicolasfauchereau/climate-learn

Source code for ClimateLearn

nicolasfauchereau/cpp

nicolasfauchereau/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

nicolasfauchereau/ehfheatwaves

A script to calculate heatwaves from AWAP

nicolasfauchereau/factor_analyzer

A Python module to perform exploratory & confirmatory factor analyses.

nicolasfauchereau/jsmetrics

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

nicolasfauchereau/OISST_indices

indices and maps derived from the daily OISST v2 product

nicolasfauchereau/openai-python

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

nicolasfauchereau/PICT_notebooks

code (paleopy) and notebooks for the PICT standalone version

nicolasfauchereau/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.

nicolasfauchereau/python-cmethods

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

nicolasfauchereau/qqscale

Code for quantile-quantile scaling

nicolasfauchereau/Richardson_2023_energy

nicolasfauchereau/SBCK

nicolasfauchereau/seatac-txx

Code for extreme temperature analysis at Seattle-Tacoma airport

nicolasfauchereau/selenium-python-helium

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

nicolasfauchereau/sketchbook-earth

Sketchbook Earth: Illustrated Climate Chronicles

nicolasfauchereau/SST_forecasting

SST forecasting and validation, leveraging the C3S MME

nicolasfauchereau/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.

nicolasfauchereau/TLDR

TLDR for ChatGPT

nicolasfauchereau/xmhw

Xarray version of Marine Heatwaves code by Eric Olivier