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  2. An earlier post said back BN. It was never there
  3. 0.00” here overnight and yesterday. First miss in a long time
  4. Not liking seeing mid 90s and humidity return next week
  5. Guest

    Trying out the new zoom on the TCU

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  6. When you focus on periods just before and just after station changes, the changes are have very strong statistical significance. Below is an example for Coatesville, using the monthly difference between Coatesville and West Chester. On average, Coatesville was 2.5F cooler relative to West Chester in 1949-50 vs 1944-45, before the 1946 move. The stats show that the move-related change was highly significant statistically.
  7. How can it go back below normal if it was never there in the first place ?
  8. None of us are perfect...best any forecaster can do is try to keep an open mind, be willing to admit error and look to improve. My outlooks got a lot better the moment I stopped perceiving alternative view points as a threat and tried incorporating them....truth is that every individual has something to offer.
  9. My mistake...I guess I spoke out of turn and should have double-checked. Thanks. I'm going to stick with that source, though in an effort to be homogeneous.
  10. Got 0.25, now 2.5 for the month. A great start after months in a row of less than 1" total in spring to early summer. Hope the next few months are well above normal rainfall.
  11. We dodged storms like a ninja yesterday too but picked up .13 for a total of .50 since midnight.
  12. Here is a graphic I hope illustrates that the goal of homogenization is not to create a new absolute temperature series for a given location, but to extract change over time information. With Coatesville 1 SW, because it moved to progressively cooler locations (break points finds these shifts), it is necessary to correct for those moves. Convention is to apply the corrections from most recent raw data backwards, but it is just as valid to apply them from oldest forward. Convention results in a repaired series that was always in its final location, and applying corrections from oldest forward results in a station that never left its first location.
  13. That was me who was dismissing the MEI awhile ago and you still don’t see me posting about it. Just not a fan of it. It’s equally weighting all variables, only uses one dataset (JRA-55), and like ensonerd mentioned it’s limited to the first EOF. I felt like it made the 2023-24 event weaker than it was even compared to the RONI, thanks to the rare -PMM that went with it.
  14. Guest

    Trying out the new zoom on the TCU

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  16. Guest

    Trying out the new zoom on the TCU

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  17. That’s interesting as BGE is out every other year to trim trees along York Road in my area.
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