weatherwiz

I also sent an email to PSL with a user enhancement suggestion. It would be PHENOMENAL if multiple composites can be downloaded at once. The way I do it is I create a composite, copy it, and paste it into a pain document. So if I'm doing weak La Nina winter temperature anomalies, I'll put in each year (one at a time) to make the composite then put into paint. This process is TEDIOUS and extremely time consuming. In reality, I'd never accomplish what I'm trying to do. Would have to work 24/7 on it lol

I am going to go back and re-start this whole project. What I need to do is create a documentation of I guess what you can call definitions, or guidelines, to establish as much consistency as possible. One thing I've learned when it comes to research is, there really is no right or wrong way as long as you're establishing criteria and consistency. Since this is dealing with ENSO I'll use ENSO as an example, but let's say I wanted to create a list of La Nina winter's and someone else did too. Based on what criteria we each choose, we may come up with different results. This doesn't mean one is wrong. As we know, when it comes to ENSO, there are two components, oceanic and atmospheric. When classifying ENSO or assessing ENSO (whether it be current state of predicted state), we solely turn to the oceanic aspect, sea-surface temperature anomalies. We can assess this via the Oceanic-Nino Index (ONI) which focuses on the 3.4 region. However, the atmospheric aspect of ENSO is just as important. So I want to really focus and incorporate this aspect as well. Before I create composites, I want to focus on the following: 1) ENSO phase classification (La Nina or EL Nino) - I will be using the CPC's Oceanic-Nino Index (ONI) and Eric Webb's Ensemble Oceanic-Nino Index EONI). The strength of incorporating the EONI is you have a much longer dataset to utilize with ENSO events going back to the late 1800's. This index also incorporates the numerous definitions which exist in classifying ENSO events. 2) ENSO strength classification (Weak, Moderate, Strong/Super-strong) - The strength will based upon the peak strength of the event. The exception will be if the peak occurred in the late spring or summer months (which a few events meet). For events which are borderline in strength (as determined by the ONI/EONI) I will list that event in both. This will provide a measure to see how "well" that event fits in with other events in either strength. 3) ENSO structure classification (West-Based, Basin-Wide, East-Based) - This is where when going back I noticed a lot of discrepancies in my original breakdowns. I re-created SSTA plots and re-created a list without looking at the original to see if the new list matched the original list. It did not. This told me I had no consistency with my classifications. So, with that, the new list focuses more heavily on where the core of the greatest anomalies were located. I think doing this broke up the basin-wide events a bit. I also found a few I classified as west when it was clearly east and vice versa. 4) Atmospheric component - For this I will be heavily looking into SOI, MEI and even looking into BEST (Bivariate ENSO timeseries) and the TNI (trans-nino index). As I was starting this, my thinking was I could use the SOI and MEI to assist in the strength classification. However, I found there wasn't a strong correlation between these values and the strength (oceanic) of the ENSO event. After some thinking and reading it occurred to me, these indices can be used to help determine how coupled the ENSO event is (atmospheric-oceanic coupling). There are some weak La Nina's with relatively high SOI's and some stronger one's with lower SOI's. So you can have a weak event that is strongly coupled and a strong event that isn't. This can help identify events which may act more how you would "expect" the event to behave. In terms of composites, initially all the composites focused on DJF. That's fine and good and all, but all that does is provide an "average" of an entire season. This does absolutely nothing with illustrating transitions or periods of deviations - which at the end of the day is really what is most important with weather forecasting. I want to continue with DJF composites, but also do composites for the following breakdowns: 1) OND 2) DJF 3) NDJFM 4) Monthly (October, November, December, January, February, March) 5) 6-week breakdowns

Well I've decided to go back and re-do my composites. Noticed a few things and made changes. It sucks b/c of all the work done, but the changes I think made sense. Anyways, I don't know why this didn't stick out to me before, but the La Nina of 1971-1972 was very interesting. It's one of the only ENSO events in which the core anomalies are displaced well outside of the equatorial region (5°N to 5°S). The only other ENSO event close happened a few years later (1974-1975). This only caught my attention because I'm taking a stronger look at classifying structure and trying to develop a consistent "definition" and reasoning to back up the classification. I guess this would go down as East Based (which I had previously).

The NBM blows

Did you get an invite to a cuddle session?

Went outside for two seconds to get food. I don’t know how people live in climates where this is common for months on end. I hate this b/c I worry about wild animals and strays. Poor things.

I would also be shocked if the NBM missed by that much. I don't think the NBM is as great as it's advertised to be, but it seems to do a solid job with lows. I could see a -2 or -3 but -7 might be a stretch, especially since it also appears the core of the cold may not really get that far south.

19z NBM gets BDR down to 0. I've never used HRRR for temps too much, but I feel like it can often be too cold, especially in these air masses.

18z NAM bufkit for BDL at 7:00

I want to go see what CEF reported. There was some wild gusts here during that time. I was really nervous about losing power since we heat with electric.

12z NAM bufkit had some 50+ potential at BDL basically between now and 11 tonight

Interested to see how low BDL gets tonight. NBM/MOS guidance all pegs -7 and GFS/NAM bufkit support this too. Have to see how quickly temps drops in the next 3-4 hours. Looks like the core of the airmass there happens late evening. Have to wonder how much the wind will factor in keeping things just mixed enough to prevent a full on drop.

tiny tiny and I do mean tiny tiny flakes falling here in Springfield now.

it's occluding and dying. The only thing its going to do is back in and dry hump Kevin

This kind of reminds of of Brett Favre's final few playing years. Just ugly to watch unfold but you keep watching b/c you're a Vikings fan and well...you have no choice b/c he's your QB. But yeah crazy, crazy odd. 850 flow becomes more from the ocean and 925 flow is able to keep cold locked in. **** this

Looks like an occluding, dying, piece of crap

Holy smokes. Tornado emergency on this. Been on the ground for a while. Huge TDS

Wow the damage in Sacramento is wild

You’re right. That’s a great point.

5:30 PT! thank God. Wish this was done but there's another 10:00 game in February

10:00 AM seems more manageable then staying up to 1 AM. yeah I found out the hard way I can't do that anymore Friday morning was tough (but drinking a 9.5% beer and a 6.5% beer didn't help either.

They should start these games 6:30 PT. 9:30 is still a bit much for East Coast people but it better then 10:30.

well another stupid, ridiculous 10:30 Bruins game tonight so hopefully the GFS takes a page out of the Bruins book tonight and delivers. If the GFS sucks I'm going to throw the beer can at the computer (once its empty).

Well not necessarily. In a nutshell, indices are how we assess and analyze the pattern. Many of the indices out there are a measure of pressure anomalies between fixed pressure circulations. For example, when we're talking about say the North Atlantic Oscillation and say it is negative, that is suggesting that the pressures associated with the icelandic low and azores high are both weaker than average. The biggest challenge becomes with interpretation and understanding of what each of these indices mean and how they are all driving the pattern. More times than not, the pattern is not driven by one variable. But what there seems to be a tendency of is making 1:1 correlations when there is no 1:1 correlation. Back to the NAO example, we tend to think of negative NAO's as being below-average temperature wise in the Northeast with increased snowfall potential, however, that is not a 1:1 correlation. The overblown comes with the "the PNA, EPO, AO, NAO, MJO " is this so we'll see this.

Sometimes I think the MJO gets overblown. Not downplaying it's importance but I feel like anytime the winter is going back in the Northeast you get folks trying to use the MJO as a saving grace and that the MJO is going to save the day.