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altair_notebooks

Tutorial and Examples Jupyter Notebooks for Altair

cesm-lens-aws

Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask

cesm2-le-aws

climatelearn

El nino forecast based on a few machine learning methods

climatestate

A library for state of climate system in the atmosphere and ocean

cmip_resources

CMIP data resources

forte2.0

FORTE2.0 code prepared for GMD submission

isca

Idealized GCM from the University of Exeter

lcsm

Linear Continuously Stratified ocean Model(LCSM)

lfqbench

ncio

Simple Fortran interface to NetCDF reading and writing.

paleotoolkit

paleo tools for cesm

pyspeedy

pySPEEDY is a fork of the SPEEDY.f90 atmospheric model written by Sam Hatfield that uses a python interface for running and controlling the SPEEDY.f90 model. SPEEDY.f90 model is a modern Fortran implementation of the intermediate complexity atmospheric general circulation SPEEDY model, developed by Fred Kucharski, Franco Molteni, and Martin P. King.

regionmask

create masks of geospatial regions for arbitrary grids

robuststl

Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

sacpy

A Python Package for Statistical Analysis of Climate

sen_homepage

speedy.f90

An intermediate complexity atmospheric general circulation model

stl

Seasonality Trend Decomposition

styles

Official repository for Citation Style Language (CSL) citation styles.

tigramite

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

time_manager-fortran

Fortran time_manager library

xspharm

xarray interface to spherical harmonic transform