Pinned Repositories
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
RO_practical
ENSO Recharge Oscillator Practical in ENSO winter school 2025
XRO
XRO: Extended nonlinear Recharge Oscillator model
xspharm
xarray interface to spherical harmonic transform
senclimate's Repositories
senclimate/XRO
XRO: Extended nonlinear Recharge Oscillator model
senclimate/xspharm
xarray interface to spherical harmonic transform
senclimate/climatestate
A library for state of climate system in the atmosphere and ocean
senclimate/RO_practical
ENSO Recharge Oscillator Practical in ENSO winter school 2025
senclimate/altair_notebooks
Tutorial and Examples Jupyter Notebooks for Altair
senclimate/cesm-lens-aws
Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask
senclimate/cesm2-le-aws
senclimate/climatelearn
El nino forecast based on a few machine learning methods
senclimate/cmip_resources
CMIP data resources
senclimate/FORTE2.0
FORTE2.0 code prepared for GMD submission
senclimate/Isca
Idealized GCM from the University of Exeter
senclimate/LCSM
Linear Continuously Stratified ocean Model(LCSM)
senclimate/ncio
Simple Fortran interface to NetCDF reading and writing.
senclimate/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.
senclimate/RobustSTL
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
senclimate/sen_homepage
senclimate/LFQbench
senclimate/Operational_XRO
Operational XRO forecast plumes for El Niño–Southern Oscillation and other major climate modes in the global oceans
senclimate/paleoToolkit
paleo tools for cesm
senclimate/regionmask
create masks of geospatial regions for arbitrary grids
senclimate/sacpy
A Python Package for Statistical Analysis of Climate
senclimate/speedy.f90
An intermediate complexity atmospheric general circulation model
senclimate/stl
Seasonality Trend Decomposition
senclimate/styles
Official repository for Citation Style Language (CSL) citation styles.
senclimate/tigramite
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at
senclimate/time_manager-fortran
Fortran time_manager library