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  2. Dream set up for the triangle east. Honestly it seems like the consensus is reverting back to that area between Raleigh and Greenville being the jackpot, similar to what was being modeled earlier in the week with the low being closer to the coast. Regardless i think most of the state gets atleast 3 inches. Georgia and SC folks i'd be a little nervous though
  3. ULL is a bit more north and transfers earlier. I still think y’all will be fine in the upstate in the 3-6 range
  4. Thank you! Exactly what I was just talking about.. Wherever this ends up setting up is going to be key.. It’s a race between the development of the storm & the dry air … Still right on the boarder line at this point but definitely trending in a good direction at this point…
  5. I'll be very surprised if surface temps get above 35 tomorrow in the central valley. Not that there is a chance of rain lol, just saying, some of these upper 30s progs don't feel right before the precip falls.
  6. Yeesh. Why such a large dry slot compared to the other models? What is it seeing the other models aren’t?
  7. Only a couple hundred mile shift....The NAM is just looking for attention
  8. Hopefully the 3K is out to lunch. That dry slot doesn’t seem to have any other model support for now thankfully. How does the 12K NAM look?
  9. How does this work for everyone? Edit: see I was late posting the map on the previous page.
  10. 6z NAM is way NW. 3k NAM is less aggressive but also significantly NW.
  11. absolutely insane rates in E NC on the 3k nam. LP just sitting there absolutely cranking for 20+ hours straight. Looks like models are catching on to it being more west, somewhat in line with the Gulf Stream. Dream E NC setup
  12. Convection wasn't as strong to start with the Bahama low hope that's a trend
  13. The upstream low was closer and weaker than previous runs so it was more lobular and not totally discrete. I still think that whole look would be a bit of a nowcast.
  14. What’s the point? A large population cannot even comprehend probabilities at their most simple application. Weather based probabilities already introduce a different dimension where product/forecast type and area coverage muddy how one would interpret the chance that x outcome happens specifically at their location. Ask a person what a 60% probability of an event happening within 25 miles of them means. Not a damn clue. This added level of complexity, then, cannot be for the benefit of the public. Suppose it’s a more hyper specific mode of grading forecasts internally?
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