donglx2018

aerobulk

AeroBulk is a package/library that gathers state-of-the-art aerodynamic bulk formulae algorithms used to compute turbulent air-sea fluxes of momentum, heat and freshwater.

atmos

An atmospheric sciences library for Python

atmospheric-sounding

Utility program for constructing refractivity graphs from atmospheric sounding data obtained from http://www.weather.uwyo.edu/upperair/sounding.html

atmospheric_stability

atmospehric stability calculation

awesome-atmos

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

ClimatePython

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

cloudnetpy

Python package for Cloudnet data processing

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

micrometlib

The repository <micrometlib> is an open-access package of python functions with sample scripts written for micrometeorological and atmospheric boundary layer research.

pv_atmos

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

pyABL

Collection of Python code for serial Atmospheric Boundary Layer (ABL) analysis.

PyMICAPS

气象数据可视化，用matplotlib和basemap绘制micaps数据

pymicra

A Python tool for Micrometeorological Analysis

PyModisAtm

Routine for Download Modis Atmospheric Data using Python

pynco

Python bindings for NCO

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.

REddyProc

Processing data from micrometeorological Eddy-Covariance systems

setup_wrf_nci

Setup the WRF model for the NCI

siphon

Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server.

Ute_WRF

WRF modifications, python functions, plotting scripts

WakesDetection

Wakes detection from CWEX-13 scanning lidar measurements.

WindCube

library to read and work with LeoSphere WindCube Lidars

windpowerlib

The windpowerlib is a library to model the output of wind turbines and farms.

WRF_pre_post_processing

wrfplot

Python script to plot various WRF-ARW output. Command line driven by passing options.