32 Open source projects that are alternatives of or similar to online-python-training

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

GRIB interface for R using ECMWF ecCodes

Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the troposphere and stratosphere.

Install WRF with required libraries

TAF (Terminal Aerodrome Forecast) and METAR parser and decoder

The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset

提供对MICAPS文件, 卫星云图, 天气雷达等数据的读写, 并访问CIMISS和MICAPS CASSANDRA数据库文件等.

Plotter for NEXRAD VWP retrievals.

A framework for querying AWIPS meteorological datasets from an EDEX Data Server.

IMPROVER is a library of algorithms for meteorological post-processing.

Open weather data for humans

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

GRIB format parser for Rust

FOREST - Forecast and Observation Research and Evaluation Survey Tool

Climate Data Science and Earth Observation with Python.

Meteorological routines

A Curated List of Python Resources for Earth Sciences

Golang GRIB2 parser

A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.

Notebooks teaching Python for use meteorology and atmospheric and climate sciences.

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

Stochastic Time-Inverted Lagrangian Transport model

Dynamically Simple Model of Atmospheric Chemical Complexity

R+Fortran+OpenMP package to estimate Vehicular Emissions INventories VEIN.

A Planetary Intensity Code for Atmospheric Spectroscopy Observations

The Atmospheric Radiative Transfer Simulator

A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.

Python for Atmosphere and Ocean Scientists

A Python reference implementation of the CF data model

Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation

Tools for atmospheric research

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