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Late February/Early March 2026 Mid-Long Range


WxUSAF
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2 minutes ago, Stormchaserchuck1 said:

Can you do it with >1std to the index pattern? 

I can do that someday, not going to do that tonight lol.  But the issue is ridges are becoming more significantly anomalous.  So you won't see as many crazy anomalies in the past because they didn't exist as much.  We are seeing more and more positive anomalies now...which yea makes it harder to overcome a hostile pacific...which is why we aren't snowing as much! 

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20 minutes ago, psuhoffman said:

I can do that someday, not going to do that tonight lol.  But the issue is ridges are becoming more significantly anomalous.  So you won't see as many crazy anomalies in the past because they didn't exist as much.  We are seeing more and more positive anomalies now...which yea makes it harder to overcome a hostile pacific...which is why we aren't snowing as much! 

Are you using the DM or CPC indexes? The CPC balances and evens it all out, so negative is just as probable as positive. 

Side note, but they are really moving toward RONI for ENSO monitoring: Climate Prediction Center - CPC adopts Relative Oceanic Niño Index (RONI) for reliable, responsive monitoring and tracking of ENSO

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CPC isn't perfect too.. this pattern last Winter was called +PNA. This would have been "positive" on your graph. 

1.gif

2025 1 15      0.8425661297669382
2025 1 16              0.6292797257596462
2025 1 17            0.3591812956820121
2025 1 18      0.2963853705652808
2025 1 19           0.25645632216650666
2025 1 20      0.19665558838216474
2025 1 21      0.16494891370677975
2025 1 22      0.3096868402976654
2025 1 23      0.16090618641248808
2025 1 24 0.090735  
2025 1 25 -0.00812  
2025 1 26 -0.00391  
2025 1 27 0.1299644364430    1287
2025 1 28 0.058971  
2025 1 29 0.075685  
2025 1 30 0.22591144673920    158
2025 1 31      0.28769816664388287
2025 2 1      0.23227473560905743
2025 2 2 0.061725  
2025 2 3 -0.15733  
2025 2 4 -0.14046  
2025 2 5        0.22531992513175264
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10 minutes ago, Stormchaserchuck1 said:

CPC isn't perfect too.. this pattern last Winter was called +PNA. This would have been "positive" on your graph. 

1.gif

2025 1 15      0.8425661297669382
2025 1 16              0.6292797257596462
2025 1 17            0.3591812956820121
2025 1 18      0.2963853705652808
2025 1 19           0.25645632216650666
2025 1 20      0.19665558838216474
2025 1 21      0.16494891370677975
2025 1 22      0.3096868402976654
2025 1 23      0.16090618641248808
2025 1 24 0.090735  
2025 1 25 -0.00812  
2025 1 26 -0.00391  
2025 1 27 0.12996443644301287
2025 1 28 0.058971  
2025 1 29 0.075685  
2025 1 30 0.22591144673920    158
2025 1 31      0.28769816664388287
2025 2 1      0.23227473560905743
2025 2 2 0.061725  
2025 2 3 -0.15733  
2025 2 4 -0.14046  
2025 2 5        0.22531992513175264

I didn't just use the numerical index, when I looked at each event I looked at the 5/3/1 days loading patterns and adjusted if the numerical index was obviously misleading.  NAO had to be adjusted a lot when a block in the western NAO domain was cancelled out by heights in the eastern NAO domain which isn't relevant to our pattern as much.  It would erroneously show up as a neutral or positive NAO when in fact there was an NAO block.  

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5 minutes ago, Stormchaserchuck1 said:

It's basically a fiction thread if all you're going to be doing is posting long range AI snow maps. 

If only there was as many AI snow maps posted as there was discussions about the PNA, MJO, NAO, PDO, AO and AMO. I would rather hear about the SWEAT index at this point. 

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2 hours ago, Stormchaserchuck1 said:

It's basically a fiction thread if all you're going to be doing is posting long range AI snow maps. 

Chuck,

 Even the short range of the Euro AI has bogus snow. Check this stupidity out:

The bogus 18Z Euro AIFS ens member 7 on WB gave Valdosta, GA, a foot of snow for the 6 hours ending at 7PM last evening lmao:
IMG_8323.jpeg.b1b6a9691ae40d31a92c697bc8c91490.jpeg

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3 minutes ago, GaWx said:

Chuck,

 Even the short range of the Euro AI has bogus snow. Check this stupidity out:

The bogus 18Z Euro AIFS member 7 gave Valdosta, GA, a foot of snow for the 6 hours ending at 7PM last evening lmao:

Yeah.. I've seen them be constantly wrong since appearing on model pages. NWS doesn't even use them. 3 days ago I think they were showing 11" of snow here on the ensemble mean! I don't know why they are so flawed- it's suppose to be a new model.  There have been bulletins I think saying don't use them. 

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3 minutes ago, Stormchaserchuck1 said:

Yeah.. I've seen them be constantly wrong since appearing on model pages. NWS doesn't even use them. 3 days ago I think they were showing 11" of snow here on the ensemble mean! I don't know why they are so flawed- it's suppose to be a new model. 

I look (or more accurately laugh) at them mainly on WxBell. Are the Euro AI snow maps flawed on Pivotal and other places, too?

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1 minute ago, GaWx said:

I look (or more accurately laugh) at them mainly on WxBell. Are the Euro AI snow maps flawed on Pivotal and other places, too?

I just know what people were posting here in the storm thread. They were showing like 2-4" in DC and Baltimore as late as last night! It was obvious 5+ days ago that this was a rainstorm. 

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29 minutes ago, Stormchaserchuck1 said:

Yeah.. I've seen them be constantly wrong since appearing on model pages. NWS doesn't even use them. 3 days ago I think they were showing 11" of snow here on the ensemble mean! I don't know why they are so flawed- it's suppose to be a new model.  There have been bulletins I think saying don't use them. 

They do this for the same reason that chatGPT hallucinates if you don't phrase the prompt correctly. AI is very good at things like 500mb patterns that are relatively linear and confined to specific modes that have been thoroughly sampled in ERA5. It is not good at all at things that are highly nonlinear, conditional on sequences of events with a very broad phase space of possible outcomes - like the phasing of a storm or snowfall accumulations. You need information from a physical model to get that right

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