Penn State ReForecast Simulator Homepage

Welcome to the Penn State ReForecast Simulator! This project is currently under development.

About the ReForecast Project: The ReForecast project began in 2019 as a collaboration between Dr. Kevin Bowley and Karl Schneider, in order to imporve student forecaster education at Penn State. Our work resulted in the development of the Penn State ReForecast Simulator (PSU-RFS), a web-based teaching tool for weather forecasting classes. The PSU-RFS aims to address several primary issues facing student forecasters today: over-reliance on model guidance, data-inequality introduced by paywall-protected sites, and will deliver a means of instant feedback in the form of forecast verification. Instead of forecasting for a real-time event, students will forecast for a weather event from the past while using the ReForecast Simulator. By forecasting for an event from the climatalogical period, we can limit what data is avaialble to students, limiting both what guidance is avaialble to students, and where they can go to find it. Since all students are limited to the same data, this will ideally create a fair and controlled forecast environment, where students can apply conceptual models of the atmosphere.

Current version of the ReForecast Simulator

The PSU-RFS database contains two cases thus far, Great Falls, MT (KGTF) and Indianaplois, IN (KIND). Each case has three webpages associated with it - the observations page, models page, and verification page. Links to these pages are below.

Great Falls, MT

KGTF Observations Page open_in_new

KGTF Models Page open_in_new

KGTF Verification Page open_in_new

Indianapolis, IN

KIND Observations Page open_in_new

KIND Models Page open_in_new

KIND Verification Page open_in_new



Additional Information

Any additonal questions, comments, or suggestions about the PSU-RFS? Feel free to reach out to Karl (kps5442@psu.edu) or Kevin (kab5083@psu.edu) for more information.