Stars
A Python client for accessing ESA MAAP satellite data
Codes for analyzing ARM's lidar data
Python package for automated detection and tracking of mesoscale convective systems
A place for analysis workflows related to data from (and adjacent to) the ARM Advanced Mobile Facility near the Bankhead National Forest (BNF)
Python package for retrieving water data from USGS or the multi-agency Water Quality Portal
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech
Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer
Controlled Vocabularies (CVs) for use in CMIP6
SounderPy is an open-source Python package for retrieving, processing, and visualizing atmospheric sounding data.
GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu
Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.
This is a coordination repo for the CROCUS Measurement Strategy.
Converts individual sweeps from IMD radars to Cf-Radial1 radar data.
Project comparing any radar to the DOE LDQUANTS VAP using Py-ART and ACT
Program to decode radio transmissions from devices on the ISM bands (and other frequencies)
Unofficial GoPro WiFi API Documentation - HTTP GET requests for commands, status, livestreaming and media query.
A polarimetric radar time-series emulator utilizing air-drag model for motions and a realistic radar cross section library for back scattering
Turn repositories into Jupyter-enabled Docker images
Python Interface to the Data and Learning Hub for Science
Pythonic multiple doppler code based off the 3D variational technique
This python package is designed to provide query and download capabilities to the NEXRAD archive available on Amazon Web Services (AWS). https://aws.amazon.com/public-datasets/nexrad/
Discussion of general issues related to the project.