Jump to content
  • Member Statistics

    17,609
    Total Members
    7,904
    Most Online
    NH8550
    Newest Member
    NH8550
    Joined

December 17th Clipper Potential


Radders

Recommended Posts

  • Replies 606
  • Created
  • Last Reply

What would we be rooting for to allow the second shortwave to become the dominant one

The lead wave is too strong to allow the second one to really do some damage. The second s/w has a lot of potential if we somehow get decent separation (not likely though) or we can hope the first one just remains flat. A lot of potential here but as it is it's a decent snow event.
Link to comment
Share on other sites

My favorite part of this page is when u call the NAM out for being awful and then rest of the page is dedicated to analyzing it . LOL

In all seriousness the actual model itself isn't that bad. It's just prone to wild swings and overdone solutions and for that reason I tend to take it with a grain of salt. It really becomes a problem when people start over-analyzing it and inexperienced forecasters don't understand how to use it and when to toss it.

Models are for guidance and that's especially true with the NAM.

Link to comment
Share on other sites

In all seriousness the actual model itself isn't that bad. It's just prone to wild swings and overdone solutions and for that reason I tend to take it with a grain of salt. It really becomes a problem when people start over-analyzing it and inexperienced forecasters don't understand how to use it and when to toss it.

Models are for guidance and that's especially true with the NAM.

That's exactly what bias means.. It has a quantified Qpf bias where it spits out outrageous numbers and it changes run to run.. But what I meant by bias is that it's always done that

Link to comment
Share on other sites

I tend to take it with a grain of salt. It really becomes a problem when people start over-analyzing it and inexperienced forecasters don't understand how to use it and when to toss it.

Models are for guidance and that's especially true with the NAM.

 

Are there any particular rules of thumb regarding when to take the NAM seriously and when to not give it any credence?

Link to comment
Share on other sites

So the nam gives the NYC area a couple inches from this...and....as NAM and it's hi res have shown consistently is a VERY heavy band of snow developing in the northern middle Atlantic for the second wave....3"/hour rates which could drop 3-5" VERY quickly

I think that will be more north like the GFS was showing. Its prob overdoing the initial wave. Lets see what the 0z will shows.

Link to comment
Share on other sites

In all seriousness the actual model itself isn't that bad. It's just prone to wild swings and overdone solutions and for that reason I tend to take it with a grain of salt. It really becomes a problem when people start over-analyzing it and inexperienced forecasters don't understand how to use it and when to toss it.

Models are for guidance and that's especially true with the NAM.

How do you even use the NAM as guidance when its always wrong with everything from temp profiles to s/w placement and so on?

Link to comment
Share on other sites

How do you even use the NAM as guidance when its always wrong with everything from temp profiles to s/w placement and so on?

Its still a model, so it can be used a piece of the puzzle. (such as picking out banding near the vorts) I usually like to use it for thunderstorm season as it can pick certain dynamics out that cant be seen well on the globals but it has been terrible with winter storms.

Link to comment
Share on other sites

That's exactly what bias means.. It has a quantified Qpf bias where it spits out outrageous numbers and it changes run to run.. But what I meant by bias is that it's always done that

That's not what a bias is at all...a bias is when a model tends to do one thing or another. Having wildly varying precipitation solutions doesn't mean it's biased. It just means the model is inconsistent.

If the NAM had any bias, it is to over-amplify systems and produce too much precipitation. But varying solutions is inconsistency, not a bias.

Link to comment
Share on other sites

NAM is an excellent model if used correctly.

 

When it comes to the question of printing out raw data...temperature, precip, wind speed, etc...I'm not sure where *our* role comes into play, in other words, if we are to characterize a model as excellent, I would infer that the data it spits out is pretty reflective of what will happen.

Link to comment
Share on other sites

In all seriousness the actual model itself isn't that bad. It's just prone to wild swings and overdone solutions and for that reason I tend to take it with a grain of salt. It really becomes a problem when people start over-analyzing it and inexperienced forecasters don't understand how to use it and when to toss it.

Models are for guidance and that's especially true with the NAM.

I think the wind and temp products are still useful. But qpf and slp are unreliable.

Link to comment
Share on other sites

Latest HRRR and to an extent RAP suggest the NAM could be out to lunch, they both sort of indicate an initial round of snow followed by a break after 13-14Z with another area awaiting out west, what becomes of that who knows but I'm sure interested to see the other models in the next hour.

Having the HRRR not on board is a little disconcerting considering how solid it has been of late.

Link to comment
Share on other sites

That's not what a bias is at all...a bias is when a model tends to do one thing or another. Having wildly varying precipitation solutions doesn't mean it's biased. It just means the model is inconsistent.

If the NAM had any bias, it is to over-amplify systems and produce too much precipitation. But varying solutions is inconsistency, not a bias.

Ur right thanks

Link to comment
Share on other sites

Archived

This topic is now archived and is closed to further replies.

  • Recently Browsing   0 members

    • No registered users viewing this page.

×
×
  • Create New...