rosedango's Stars
silky/climate-analysis
Code used for climate data analysis and visualisation
fstrnad/geoutils
Useful package for processing and plotting geodata provided as nc-files
DDDDD1-D/Code-Python
scavallo/classcode
NOAA-GFDL/MDTF-diagnostics
Analysis framework and collection of process-oriented diagnostics for weather and climate simulations
yuchiaol/polar_climate_change_2024
fmaussion/teaching
Some resources I use for teaching
emilyrball/Roles_of_latent_heat_and_dust_on_the_Martian_polar_vortex
All code used for analysis in the paper "The roles of latent heating and dust in the structure and variability of the northern Martian polar vortex"
ExeClim/Isca
Idealized GCM from the University of Exeter
ZhengWinnieWu/Lorentz_workshop
savinchand/owz_python
brian-rose/ClimateModeling_courseware
A collection of interactive lecture notes and assignments in Jupyter notebook format.
Ouranosinc/xclim
Library of derived climate variables, ie climate indicators, based on xarray.
umr-marbec/python-training
royalosyin/Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
njleach/mystatsfunctions
some stats functions i wrote
IS-ENES-Data/summer-school-2022
some material for the ENES climate model data analysis summer school
LinkedEarth/Pyleoclim_util
Python Package for the Analysis of Paleoclimate Data. Documentation at
xCDAT/xcdat
An extension of xarray for climate data analysis on structured grids.
modons/LMR
Source code for the Last Millennium Reanalysis (LMR) project
PCMDI/pcmdi_metrics
Open-source Python package for Systematic Evaluation of Climate and Earth System Models
pangeo-data/awesome-open-climate-science
Awesome Open Atmospheric, Ocean, and Climate Science
NCAR/CVDP-ncl
The Climate Variability Diagnostics Package (CVDP) developed by NCAR's Climate Analysis Section is an analysis tool that documents the major modes of climate variability in models and observations.
sreveryone/AMO_ersstv5_hadisst1_cobesst2
Scripts for figures in the article Pattern Incoherence of Atlantic Multidecadal Oscillation derived from ERSST dataset and the possible reason, submitted to npj Climate and Atmospheric Science
oscardm20994/Wavelet_analysis
package for wavelet analysis of non stationary spectral characteristics of timeseries data.
pactools/pactools
Phase-amplitude coupling (PAC) toolbox
davidmnielsen/2019_egu_workshop_jupyter_notebooks
Short course on interactive analysis of Big Earth Data with Jupyter Notebooks
ct6502/wavelets
Torrence & Compo Wavelet Analysis Software
oet808/PDO_CMIP5
This is basically the same code as in PDO but adjusted for the local pathes and file names of the CMIP5 ensemble.
regeirk/pycwt
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.