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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.
An atmospheric sciences library for Python
Utility program for constructing refractivity graphs from atmospheric sounding data obtained from http://www.weather.uwyo.edu/upperair/sounding.html
atmospehric stability calculation
A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning
Series of workshops and lectures using Python in the climate/atmospheric sciences
Python package for Cloudnet data processing
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
The repository <micrometlib> is an open-access package of python functions with sample scripts written for micrometeorological and atmospheric boundary layer research.
Python scripting for scientific visualization software ParaView. Applied to atmospheric netCDF data.
Collection of Python code for serial Atmospheric Boundary Layer (ABL) analysis.
气象数据可视化,用matplotlib和basemap绘制micaps数据
A Python tool for Micrometeorological Analysis
Routine for Download Modis Atmospheric Data using Python
Python bindings for NCO
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.
Processing data from micrometeorological Eddy-Covariance systems
Setup the WRF model for the NCI
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.
WRF modifications, python functions, plotting scripts
Wakes detection from CWEX-13 scanning lidar measurements.
library to read and work with LeoSphere WindCube Lidars
The windpowerlib is a library to model the output of wind turbines and farms.
Python script to plot various WRF-ARW output. Command line driven by passing options.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.