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A library of derived climate variables, i.e. climate indicators, based on xarray.
lang: Python
stars: 354
last activity:
A Python package of mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models, primarily supporting the meteorological, climatological and geoscientific communities.
lang: Jupyter Notebook
stars: 160
last activity:
Perform topography-based downscaling of climate data to the hillslope scale.
lang: Python
stars: 44
last activity:
A python package that downloads recent and archived numerical weather prediction model output from different cloud archive sources.
lang: Python
stars: 579
last activity:
An open source project for working with ocean wave spectral data.
lang: Python
stars: 74
last activity:
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
lang: Python
stars: 223
last activity:
An accessor for xarray objects that interprets CF attributes.
lang: Python
stars: 168
last activity:
A remote-sensing opensource python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
lang: Python
stars: 307
last activity:
An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.
lang: Python
stars: 3.8K
last activity:
Aims to be the primary package used to analyze output from initialized dynamical forecast models, ranging from short-term weather forecasts to long-term climate forecasts.
lang: Python
stars: 242
last activity:
A python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.
lang: Python
stars: 1.1K
last activity:
An extension of xarray for climate data analysis on structured grids.
lang: Python
stars: 126
last activity: