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Guru Singh
265 posts

Guru Singh
@SikhStorms
Storm Chaser with 8 hurricane intercepts (4 Cat 4s). Tech by day @aigsingh
Katılım Temmuz 2014
172 Takip Edilen252 Takipçiler

Made the call not to chase Hurricane #Melissa. Jamaica faces serious risks with this storm, and I won’t chance adding to the strain on local resources in the case of an extended stay. Thinking of the communities in the path and chasers covering this event. Stay safe!
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Guru Singh retweetledi

The backside of #Milton is moving in and check out these winds in Sarasota that were shared to me by Chris Collura. Very impressive.
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Guru Singh retweetledi
Guru Singh retweetledi

In the eye of #Hurricane #MILTON in Downtown Sarasota #Florida. A deeply calm, meditative eye. Absolutely spectacular.
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Guru Singh retweetledi
Guru Singh retweetledi

@EyewallAddict Hey @EyewallAddict, great meeting you in Perry for Helene. Will send you our selfie, can you open DMs?
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@DonBellCT Hey @DonBellCT good meeting you in Perry for Helene. Posting here since your DM’s are closed
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Sub-900mb from 0z HAFS-A verified. Crazily enough #MILTON made it there 28 HOURS ahead of schedule

Guru Singh@SikhStorms
Honey the HAFS models went sub-900mb again #Milton
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I have been tracking hurricanes my whole life and this is the most astonishing recon mission I have ever seen. #Milton

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@japidotca On this mission they measured a 911 mb pressure, the 14th lowest recorded since 1851 and extrapolated surface winds of 175mph. The recon concluded with this message: “OBSERVED FLOCKS OF BIRDS WITHIN THE EYE”
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@japidotca Crazy right? Hurricane Hunters from Air Force and NOAA fly specialized aircraft to collect crucial data on wind speed, pressure, and storm environment. This informs forecast models and hurricane intensity advisories
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First light on a monster. At nightfall #Milton was a 977 mb, 90mph Category 1 Hurricane. Sunrise reveals a 940mb, 150mph high-end Cat 4. Pressure -37mb and max winds +60mph in 10 hours. Jaw-dropping intensification
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@AiBot9T Here’s more on the HAFS models wpo.noaa.gov/the-hurricane-…
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@AiBot9T Good question! They’re different. HAFS models simulate atmospheric dynamics using physical equations (e.g., Navier-Stokes) and real-world data, while GPT relies on transformer architecture to learn and generate language based on large text datasets
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