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Yang's Projects

aostools icon aostools

Helper functions for postprocessing and analysis of netCDF data. Also includes I/O routines to seamlessly work with pv_atmos.

awesome-atmos icon awesome-atmos

A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning

climate_indices icon climate_indices

Climate indices for drought monitoring, community reference implementations in Python

climatepython icon climatepython

Series of workshops and lectures using Python in the climate/atmospheric sciences

conda icon conda

OS-agnostic, system-level binary package manager and ecosystem

esmvaltool icon esmvaltool

ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

gill icon gill

NCL scripts to draw the Gill patterns

ncl icon ncl

The NCAR Command Language (NCL) is a scripting language for the analysis and visualization of climate and weather data.

puffins icon puffins

Puffins: tools for large-scale atmospheric and climate dynamics research

pv_atmos icon pv_atmos

Python scripting for scientific visualization software ParaView. Applied to atmospheric netCDF data.

python-practical-application-on-climate-variability-studies icon 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.

sam icon sam

Calculates the Southern Annular Mode index (SAM) from NCEP/NCAR monthly anomalies

swd6_hpp icon swd6_hpp

Training materials for SWD6: High Performance Python

warmpool-mjo icon warmpool-mjo

MJO events and the code for estimating the phase duration and warm pool area as in Roxy et al. 2019, Nature, "Twofold expansion of Indo-Pacific warm pool warps MJO lifecycle"

wavelets icon wavelets

Torrence & Compo Wavelet Analysis Software

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