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Saint Patrick's Day Snow Event II


stormtracker

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They're using SREF members, which in this case are an outlier and often are, as the core starting point for a major "groundbreaking" product.....it is standard govt stuff.

 

I can tell you that one of the improvements we hope to make at WPC is to limit the percent weight of the SREF members.  Right now, WPC's automated PWPF product (probability of winter precipitation forecast) is a 33 multi-member ensemble, with the "mode" being the WPC winter weather forecaster's deterministic snowfall (and ice) forecast based on the preferred model blend(s) over a particular region. Now, all 21 SREF members are included, along with 7 operational runs, and 5 GEFS members.  That's a 33 member system, HOWEVER, 64% of which (21/33) are based on the SREF -- 7 NMB members (which go into the NAM), 7 NMM members (GFS), and 7 EM/WRF members (RAP).  The problem is, when the NCEP models, particularly the NAM and SREF, are not the preferred runs for a particular winter storm, the "spread" among the mode (which again is the winter weather desk's deterministic forecast) is going to widen toward that SREF output.  

 

What we want to do going into next season is to not make the PWPF so "SREF heavy".  In doing so, we're going to incorporate some (perhaps half) of the ECMWF ensemble members.  One may be asking the question right now, "how come you (WPC) haven't done that already?"  Well, it's a matter of resolution.  Right now, we are getting the EC members at a full degree resolution, or 111 km. That's a pretty course resolution -- the kind that will make a NW flow clipper event bleed east of the Appalachians into the DC area. Why are we getting the ECMWF members at such a low resolution currently?  I think the main reason is computational -- being able to get the data and process it in our system in a timely manner.  However with the new supercomputer (part of the Sandy suppliment), that's going to change, as we hope to have 0.5 degree resolution ECMWF ensemble data by next season (closer to 54.5 km). 

 

So, we are getting there folks, gradually.  In the meantime, keep in mind a couple of things, at least from our (WPC's) perspective:

 

1) Those google-earth background probability graphics you see (i.e. our "automated" PWPF) for the time being will remain 64% SREF weighted.  Translation: when the SREF is not preferred -- especially when the other operational NCEP runs are not preferred (NAM and GFS), you will get a fairly large (too large) distribution with those snowfall and ice probabilities. 

 

2) WPC in the meantime still has the ability to manually edit the "final" 10, 40, and 70 percent probabilities for the 4, 8, and 12" snowfall probabilities, as well as for the 0.25" of ice. So, when we see such a huge disparity with the WPC's manual winter weather output vs. the automated PWPF, it is because we did not buy into the SREF output (and possibly NAM and/or GFS as well).  A great example of this is with the 03/03 event: when the WPC winter weather forecaster had the highest snowfall axis along the mid Atlantic region (our area), while the SREF was pointing toward NYC and SNE.  So, in this case, the automated PWPF looked AWFUL, with higher probs of 4, 6, and even 8 inches stretching from SNE all the way down into central VA.  Again, we'll get there...

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I can tell you that one of the improvements we hope to make at WPC is to limit the percent weight of the SREF members.  Right now, WPC's automated PWPF product (probability of winter precipitation forecast) is a 33 multi-member ensemble, with the "mode" being the WPC winter weather forecaster's deterministic snowfall (and ice) forecast based on the preferred model blend(s) over a particular region. Now, all 21 SREF members are included, along with 7 operational runs, and 5 GEFS members.  That's a 33 member system, HOWEVER, 64% of which (21/33) are based on the SREF -- 7 NMB members (which go into the NAM), 7 NMM members (GFS), and 7 EM/WRF members (RAP).  The problem is, when the NCEP models, particularly the NAM and SREF, are not the preferred runs for a particular winter storm, the "spread" among the mode (which again is the winter weather desk's deterministic forecast) is going to widen toward that SREF output.  

 

What we want to do going into next season is to not make the PWPF so "SREF heavy".  In doing so, we're going to incorporate some (perhaps half) of the ECMWF ensemble members.  One may be asking the question right now, "how come you (WPC) haven't done that already?"  Well, it's a matter of resolution.  Right now, we are getting the EC members at a full degree resolution, or 111 km. That's a pretty course resolution -- the kind that will make a NW flow clipper event bleed east of the Appalachians into the DC area. Why are we getting the ECMWF members at such a low resolution currently?  I think the main reason is computational -- being able to get the data and process it in our system in a timely manner.  However with the new supercomputer (part of the Sandy suppliment), that's going to change, as we hope to have 0.5 degree resolution ECMWF ensemble data by next season (closer to 54.5 km). 

 

So, we are getting there folks, gradually.  In the meantime, keep in mind a couple of things, at least from our (WPC's) perspective:

 

1) Those google-earth background probability graphics you see (i.e. our "automated" PWPF) for the time being will remain 64% SREF weighted.  Translation: when the SREF is not preferred -- especially when the other operational NCEP runs are not preferred (NAM and GFS), you will get a fairly large (too large) distribution with those snowfall and ice probabilities. 

 

2) WPC in the meantime still has the ability to manually edit the "final" 10, 40, and 70 percent probabilities for the 4, 8, and 12" snowfall probabilities, as well as for the 0.25" of ice. So, when we see such a huge disparity with the WPC's manual winter weather output vs. the automated PWPF, it is because we did not buy into the SREF output (and possibly NAM and/or GFS as well).  A great example of this is with the 03/03 event: when the WPC winter weather forecaster had the highest snowfall axis along the mid Atlantic region (our area), while the SREF was pointing toward NYC and SNE.  So, in this case, the automated PWPF looked AWFUL, with higher probs of 4, 6, and even 8 inches stretching from SNE all the way down into central VA.  Again, we'll get there...

 

Thanks for the information-- wonderful. 

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I can tell you that one of the improvements we hope to make at WPC is to limit the percent weight of the SREF members.  Right now, WPC's automated PWPF product (probability of winter precipitation forecast) is a 33 multi-member ensemble, with the "mode" being the WPC winter weather forecaster's deterministic snowfall (and ice) forecast based on the preferred model blend(s) over a particular region. Now, all 21 SREF members are included, along with 7 operational runs, and 5 GEFS members.  That's a 33 member system, HOWEVER, 64% of which (21/33) are based on the SREF -- 7 NMB members (which go into the NAM), 7 NMM members (GFS), and 7 EM/WRF members (RAP).  The problem is, when the NCEP models, particularly the NAM and SREF, are not the preferred runs for a particular winter storm, the "spread" among the mode (which again is the winter weather desk's deterministic forecast) is going to widen toward that SREF output.  

 

What we want to do going into next season is to not make the PWPF so "SREF heavy".  In doing so, we're going to incorporate some (perhaps half) of the ECMWF ensemble members.  One may be asking the question right now, "how come you (WPC) haven't done that already?"  Well, it's a matter of resolution.  Right now, we are getting the EC members at a full degree resolution, or 111 km. That's a pretty course resolution -- the kind that will make a NW flow clipper event bleed east of the Appalachians into the DC area. Why are we getting the ECMWF members at such a low resolution currently?  I think the main reason is computational -- being able to get the data and process it in our system in a timely manner.  However with the new supercomputer (part of the Sandy suppliment), that's going to change, as we hope to have 0.5 degree resolution ECMWF ensemble data by next season (closer to 54.5 km). 

 

So, we are getting there folks, gradually.  In the meantime, keep in mind a couple of things, at least from our (WPC's) perspective:

 

1) Those google-earth background probability graphics you see (i.e. our "automated" PWPF) for the time being will remain 64% SREF weighted.  Translation: when the SREF is not preferred -- especially when the other operational NCEP runs are not preferred (NAM and GFS), you will get a fairly large (too large) distribution with those snowfall and ice probabilities. 

 

2) WPC in the meantime still has the ability to manually edit the "final" 10, 40, and 70 percent probabilities for the 4, 8, and 12" snowfall probabilities, as well as for the 0.25" of ice. So, when we see such a huge disparity with the WPC's manual winter weather output vs. the automated PWPF, it is because we did not buy into the SREF output (and possibly NAM and/or GFS as well).  A great example of this is with the 03/03 event: when the WPC winter weather forecaster had the highest snowfall axis along the mid Atlantic region (our area), while the SREF was pointing toward NYC and SNE.  So, in this case, the automated PWPF looked AWFUL, with higher probs of 4, 6, and even 8 inches stretching from SNE all the way down into central VA.  Again, we'll get there...

 

This sounds great and thanks for the detailed summary

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I can tell you that one of the improvements we hope to make at WPC is to limit the percent weight of the SREF members.  Right now, WPC's automated PWPF product (probability of winter precipitation forecast) is a 33 multi-member ensemble, with the "mode" being the WPC winter weather forecaster's deterministic snowfall (and ice) forecast based on the preferred model blend(s) over a particular region. Now, all 21 SREF members are included, along with 7 operational runs, and 5 GEFS members.  That's a 33 member system, HOWEVER, 64% of which (21/33) are based on the SREF -- 7 NMB members (which go into the NAM), 7 NMM members (GFS), and 7 EM/WRF members (RAP).  The problem is, when the NCEP models, particularly the NAM and SREF, are not the preferred runs for a particular winter storm, the "spread" among the mode (which again is the winter weather desk's deterministic forecast) is going to widen toward that SREF output.  

 

What we want to do going into next season is to not make the PWPF so "SREF heavy".  In doing so, we're going to incorporate some (perhaps half) of the ECMWF ensemble members.  One may be asking the question right now, "how come you (WPC) haven't done that already?"  Well, it's a matter of resolution.  Right now, we are getting the EC members at a full degree resolution, or 111 km. That's a pretty course resolution -- the kind that will make a NW flow clipper event bleed east of the Appalachians into the DC area. Why are we getting the ECMWF members at such a low resolution currently?  I think the main reason is computational -- being able to get the data and process it in our system in a timely manner.  However with the new supercomputer (part of the Sandy suppliment), that's going to change, as we hope to have 0.5 degree resolution ECMWF ensemble data by next season (closer to 54.5 km). 

 

So, we are getting there folks, gradually.  In the meantime, keep in mind a couple of things, at least from our (WPC's) perspective:

 

1) Those google-earth background probability graphics you see (i.e. our "automated" PWPF) for the time being will remain 64% SREF weighted.  Translation: when the SREF is not preferred -- especially when the other operational NCEP runs are not preferred (NAM and GFS), you will get a fairly large (too large) distribution with those snowfall and ice probabilities. 

 

2) WPC in the meantime still has the ability to manually edit the "final" 10, 40, and 70 percent probabilities for the 4, 8, and 12" snowfall probabilities, as well as for the 0.25" of ice. So, when we see such a huge disparity with the WPC's manual winter weather output vs. the automated PWPF, it is because we did not buy into the SREF output (and possibly NAM and/or GFS as well).  A great example of this is with the 03/03 event: when the WPC winter weather forecaster had the highest snowfall axis along the mid Atlantic region (our area), while the SREF was pointing toward NYC and SNE.  So, in this case, the automated PWPF looked AWFUL, with higher probs of 4, 6, and even 8 inches stretching from SNE all the way down into central VA.  Again, we'll get there...

thanks for the info, good stuff

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