Greg Blumberg
EF4
For those unfamiliar with the recent updates in online weather data and have been living under a rock for the past few months, this is for you:
HOOT, the student-run organization that develops weather products at the University of Oklahoma, has begun releasing new forecast soundings for public consumption. As of right now, HOOT is only offering select forecast soundings from the RAP, although plans are in place to expand the available forecast soundings to a wide variety of locations across the U.S., and for many different numerical models.
Those familiar with other online weather data sources may recognize that these soundings look very similar to SPC's observed soundings online. These soundings are plotted using a sounding plotting and analysis package Kelton Halbert and I have been developing called SHARPpy, which is a Python-based derivative of SPC's NSHARP program we inherited from Patrick Marsh. Since we started managing the code last March, we've made significant changes and have implemented a large set of analysis routines previously internal to SPC. We hope that having these unique routines available online will enhance your forecasting! Check them out!
http://hoot.metr.ou.edu/models/rap/fsound/
http://hoot.metr.ou.edu/upperair/
Here's an example sounding from a while back:
HOOT, the student-run organization that develops weather products at the University of Oklahoma, has begun releasing new forecast soundings for public consumption. As of right now, HOOT is only offering select forecast soundings from the RAP, although plans are in place to expand the available forecast soundings to a wide variety of locations across the U.S., and for many different numerical models.
Those familiar with other online weather data sources may recognize that these soundings look very similar to SPC's observed soundings online. These soundings are plotted using a sounding plotting and analysis package Kelton Halbert and I have been developing called SHARPpy, which is a Python-based derivative of SPC's NSHARP program we inherited from Patrick Marsh. Since we started managing the code last March, we've made significant changes and have implemented a large set of analysis routines previously internal to SPC. We hope that having these unique routines available online will enhance your forecasting! Check them out!
http://hoot.metr.ou.edu/models/rap/fsound/
http://hoot.metr.ou.edu/upperair/
Here's an example sounding from a while back: