Justin Gehrts

1 month ago | spectrumnews1.com | Justin Gehrts |Britney Hamilton

Everybody knows you can balance an egg on the equinox, the day with 12 hours of light across the planet... right? What You Need To KnowYou can balance eggs and brooms any dayDaylight is close to 12 hours, but not exactlyAs fall begins in one hemisphere, spring begins in the otherThere are various theories surrounding the equinox, which happen every year in March and September. Let’s separate fact from fiction.

Jan 10, 2025 | spectrumnews1.com | Justin Gehrts

Measuring snow is as simple as sticking a ruler in the yard, right? Not so fast. What You Need To KnowSnowfall measurements are still mostly taken by people, not automated devicesA snow board (not a snowboard) in an open area is ideal for measuringSnowfall is measured to the tenth of an inchPick a spot where you’ll always measure the snow. You should pick an open area with little or no drifting. It should also be away from trees and buildings. Put down a “snow board” (not a snowboard).

Jan 8, 2025 | wpo.noaa.gov | Justin Gehrts

The Weather Program Office is contributing to the American Meteorological Society’s 2025 Annual Meeting in New Orleans. Below is a list of sessions, listed by day, with links to full information. Rows beginning a highlighted time are sessions in which a member of WPO is a presenter, moderator, or panelist.

Dec 18, 2024 | wpo.noaa.gov | Justin Gehrts

WPO is proud to share that members of our team have received 2024 OAR Awards. Steve Thur, Assistant Administrator of the NOAA Oceanic and Atmospheric Research (OAR), recognized the award recipients during a ceremony on December 18. For pivotal execution of the third Unifying Innovations in Forecasting Capabilities Workshop, launching the Unified Forecast System Student Ambassador Program, and mentoring undergraduate students through the Lapenta Internship Program.

Dec 18, 2024 | wpo.noaa.gov | Justin Gehrts

The Joint Technology Transfer Initiative supported the development and completion of the “WoFS ML Severe” severe weather probability suite, which is based on the Warn-on-Forecast System and machine learning. WoFS ML Severe uses inputs from the Warn-on-Forecast System and is trained on a combination of local storm reports and radar-based detections of severe weather to produce skillful forecasts of the probability that a given thunderstorm will produce large hail, damaging winds, or a tornado.