awesome-earthobservation

A Jupyter extensions that turns notebooks into web applications.

Have a repository full of Jupyter notebooks? With Binder, open those notebooks in an executable environment, making your code immediately reproducible by anyone, anywhere.

The Bokeh Visualization Library

Bottleneck is a collection of fast, NaN-aware NumPy array functions written in C. Working with

Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.

This package contains colormaps for commonly-used oceanographic variables.

Select an area and get BBox information in vairous projections and formats.

NOAA Climate Data Online is a collection of climatic data that offers public access and consumption via discovery and ordering services. The data available through CDO is available at no charge and can be viewed online or ordered and delivered to your email inbox.

NCDC's Climate Data Online (CDO) offers web services that provide access to current data. This API is for developers looking to create their own scripts or programs that use the CDO database of weather and climate data.

The Copernicus Open Access Hub (previously known as Sentinels Scientific Data Hub) provides complete, free and open access to

ECMWF WebAPI is a set of services developed by ECMWF to allow users from the outside to access some internal features and data of the centre.

Including

The European Space Agency (ESA), the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), and the European Center for Medium-Range Weather Forecast (ECMWF) with the Copernicus Atmosphere Monitoring Service (CAMS) organize joint training webinars sessions.

metPy mondays youtube videos

A MOOC about atmospheric monitoring using satellites, in-situ data, and models.

This workshop will teach some of the basics of Climate and Forecasting metadata for netCDF data files with some hands-on work available in Jupyter Notebooks using Python.

Would you like some in-depth training on the scientific Python ecosystem for atmospheric science and meteorology? Work through our workshop materials at your own pace to learn and practice the syntax, functionality, and utility of this powerful programming language, or return to the material after taking the workshop in-person to further your understanding of the material you were taught.

The examples in this space should give you a good starting point how you can work with ECMWF services and data through Python using Jupyter notebooks. A

Magics is the latest generation of the ECMWF's meteorological plotting software. It offers an easy way to visualise data coded in meteorological formats such as GRIB, NetCDF and BUFR. The same resource, in

Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.

MeteoNet is a meteorological dataset developed and made available by METEO FRANCE, the French national meteorological service. Let’s start playing with the dataset! You can find playful introductory

LTPy, a learning Tool for Python on Atmospheric Composition Data.

This repository is intended as a toolbox to handle the MeteoNet dataset. It's also a communication interface with MeteoNet's users : if you have a request or a problem concerning MeteoNet, you can post an issue on this project.

European Space Agency main site

European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)