pytest-regressions plugin for xarray

Full-stack, cross-platform surf forecasting app with live CDIP buoy data & real-time surfer detection via custom Machine Learning & Computer Vision. Built with React, Flask (Python), JavaScript, HTML, CSS, FFmpeg & Roboflow.

A BioIO reader plugin for reading 3i slidebook (SLDY) images

A CLI tool to generate the pair distribution functions from mixtures of phases.

A BioIO reader plugin for reading ND2 images.

Python module to analyze measurmentdata of the tropopause with respect to the cold point tropopause.

ERA5 Meteorology Explorer System

Plotting netCDF ocean current data using python

Protect the Navigator from changing data formats!

meteo-spark is an open source project that aims to simplify the Climate Data Analysis using PySpark, which allow the processing of very big files saved in the cloud (S3, GCS, ...) on a large pyspark cluster managed by YARN or Kubernetes.

Visualizing global precipitation patterns (2010–2019) using NASA TRMM data with Python, Cartopy, and Xarray. Includes static maps with geographical features and coordinate grids.

A collection of tools to integrate WRF/WPS geogrid binary datasets into the xarray ecosystem

⚡ xarray extension for easy accessor creation

Cliamte Data Processing Module

Framework with useful tools to deal with CSV and *0.f0* files from Neko simulations

Creates daily reports from CAMS and WMO/AEMET air quality forecast data for specified geographical areas and points.

Example of using the xclim and xarray Python packages to generate climate indices from NetCDF files

Typing, base classes, and more for BioIO projects.

📄 Specifications of sdarray

This Python 3 code processes the data from the CAMS Global Reanalysis (EAC4) monthly average fields to calculate the Vertical Scales for profiles of water vapor and sulfur compounds in the lower troposphere in the period 2003 - 2020 and include multiple variables.