|
- SHARPpy: Sounding and Hodograph Analysis and Research Program for Python
We do our best to keep the source code well documented to make future use and modification an easy task Select multiple sounding locations, lift custom parcels, modify the Skew-T or Hodograph, and check against previous sounding analogues using the interactive interface
- Welcome to SHARPpy’s documentation! — SHARPpy 1. 4 documentation
It was developed to provide the atmospheric science community a free and consistent source of sounding analysis routines SHARPpy is constantly updated and vetted by professional meteorologists and climatologists within the scientific community to help maintain a standard source of sounding routines
- GitHub - sharppy SHARPpy: Sounding Hodograph Analysis and Research . . .
SHARPpy is a collection of open source sounding and hodograph analysis routines, a sounding plotting package, and an interactive, cross-platform application for analyzing real-time soundings all written in Python
- The Sounding Tutorial Thread - TalkWeather
Look and see where the horizontal colored line intersects the box plots for the most probable tornado strengths The inset in the top-right also breaks apart the components of the STP calculation and shows probabilities of significant tornado in a supercell based on each component
- SHARPpy: An Open-Source Sounding Analysis Toolkit for the Atmospheric . . .
SHARPpy is based on the National Oceanic and Atmospheric Administration Storm Prediction Center’s (NOAA SPC) in-house analysis package, SHARP, and is the result of a collaborative effort between forecasters at the SPC and students at the University of Oklahoma’s School of Meteorology
- Tornadoes Dataset - Kaggle
Although the primary mission of the National Weather Service’s Storm Prediction Center is forward-looking, the center also provides historical maps, charts, and datasets
- sharppy_extended_abstract_draft1
This work manifested itself in the form of SHARPpy, a Python-based rewrite of the Storm Prediction Center’s (SPC) Skew-T and Hodograph Analysis Research Program (SHARP) (Hart et al 1999) led by Patrick Marsh and John Hart
- Scripting — SHARPpy 1. 4 documentation - Read the Docs
SHARPpy also allows the user to compute kinematic variables such as shear, mean-winds, and storm relative helicity SHARPpy will also compute storm motion vectors based off of the work by Stephen Corfidi and Matthew Bunkers
|
|
|