nicolasfauchereau Goto Github PK

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

acre_workshop

Climate indices and synoptic types in Python

affordability_in_nz

Web maps of affordability for various regions in New Zealand

aies_d_23_0094

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

ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

anatomyofmatplotlib

Anatomy of Matplotlib Tutorial originally developed for SciPy 2013

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

bams_sotc_2019

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

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

basemaptutorial

A Basemap tutorial for ReadTheDocs

biasadjustcxx

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

book-socialmediaminingpython

Companion code for the book "Mastering Social Media Mining with Python"

cams_opi

some Python scripts and IPython notebooks to process and map CAMS / OPI precipitation data

cartopy

Cartopy - a cartographic python library with matplotlib support

chapter-11

IPCC AR6 Chapter 11 - analysis and visualization code

clcp

CLCP codes

clidesc

CLIDESC: CLImate Data for the Environment Service Client

clidesc_ops_fiji

repository for the interpolation of TRMM rainfall onto the Fiji Digital Elevation Model

clifro

climate-learn

Source code for ClimateLearn

climate_data_analytics

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

climatecode

climatelearn

El nino forecast based on a few machine learning methods

climatemaps

Global monthly climate data on an OpenLayers map

climatenetworks

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

cloud-craft-python

Python demo app for 'Cloud Craft for Spatial Cadets' presentation

cmip6-downscaling

Climate downscaling using CMIP6 data