Sen Zhao's repositories
climatestate
A library for state of climate system in the atmosphere and ocean
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
climatelearn
El nino forecast based on a few machine learning methods
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)
ncio
Simple Fortran interface to NetCDF reading and writing.
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.
RobustSTL
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
paleoToolkit
paleo tools for cesm
regionmask
create masks of geospatial regions for arbitrary grids
sacpy
A Python Package for Statistical Analysis of Climate
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