JT Thielen's Projects
An open educational resource within Project Pythia for teaching atmospheric modeling fundamentals in Python with Numba
Cartopy - a cartographic python library with matplotlib support
Moist thermodynamic and convective parameters implemented with Numba
Parallel computing with task scheduling
WIP implementation of a tree-like hierarchical data structure for xarray.
Intermediate Computational Meteorology (new course developed for Honors Project at Iowa State, Spring 2019)
Personal Resume Website
Modifies time and location of a NEXRAD level II archive file
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Materials for the 2023 AMS short course "MetPy for your Data Analyzing Meteorological Observations in Python"
Cross Section Analysis in MetPy (presented at AMS Annual Meeting 2019 in Phoenix, AZ)
A repository for my ongoing research on machine learning methods for classification of convective morphology.
Python files and directory structure for our MTEOR 301 IBL parsing scripts
Open-source and extensible radar mosaic creation in Python
A modern responsive newspaper/magazine theme designed for hoofprint.net, but by any means, feel free to use it or tweak it for your own site (it is GPL licensed).
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python library for building Pangeo Forge recipes.
Flexible WordPress parent theme designed for newspaper and magazine websites. Based on the _s starter theme.
Operate and manipulate physical quantities in Python
Interface for using pint with xarray, providing convenience accessors
The Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.
Python interface to PROJ (cartographic projections and coordinate transformations library)
Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server.
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Building an analysis-ready, cloud-optimized dataset of detailed severe weather convective morphology samples from NEXRAD mosaics.
Python scripts for working with raw NetCDF and UPP-post-processed output from the UFS SR Weather App (FV3-SAR)