Adios X

After more than a decade of engagement on Twitter/X, I departed from that platform yesterday.  

The post prompted people to ask if I was Ok or if I was leaving the U, but I was merely leaving X.  It is a wonderful platform for sharing weather and science information but for some time the meanness and cruelty there have worn on me.  The nonstop bombardment of click bait was affecting my mental health. Enough was enough.  You can find me on Bluesky for now (@professorpowder.bsky.social), although I'm not going to be on it as frequently.  

Thank you for keeping this blog a place where science, weather, and snow are discussed respectfully.

Problems I Want to Work On

Last night's storm period was one that I really enjoyed simply because it shows how remarkably variable snowfall can be in the central Wasatch.  As suggested in the prior post, the low-level ESE flow favored Deer Valley, which received more snow than Alta-Collins.  

Deer Valley/Ontario: 1.41"/14+" (snow depth sensor got flaky at 7:35 AM; 14 was the total at that time)
Alta-Collins: 1.02"/10"

It seems that a lot of data is not flowing into MesoWest from there resorts right now so I couldn't dig much deeper than that, but the Utah Avalanche Center report included storm totals as of 5 am also showing the decrease in snowfall from east to west. 

Source: https://utahavalanchecenter.org/

This is not something that is unusual for such a flow pattern or that experienced meteorologists wouldn't anticipate, as illustrated by yesterday's blog post.  However, we don't have a good understanding of the physical processes operating during such storm periods, nor do we have models that reliably anticipate such fine-scale snowfall variations.  By reliable, I mean not getting it right every now and then but instead being able to do it consistently. 

This has been the most challenging academic year of my career.  I'm not getting any younger and it has me thinking about what I want to do in my last few years as a researcher.  During my career, I have always been interested in snow and I'm especially interested in understanding and predicting microscale variations of snowfall in areas of complex terrain.  

Last night's case is a good example.  What I wouldn't give to have had a portable radar in the Heber Valley to see what is happening to the cloud and precipitation system on the south side of the Deer Valley Ridgeline and over the Snake Creek area southeast of Brighton.  It would have been so exciting.  More importantly, I'd like to compare this storms to others, as we all like to generalize, but the reality is that there are a lot of variations that we can't anticipate.  

Additionally, what I wouldn't give to have the time and horsepower to improve fine-scale forecasts of these storms using traditional numerical weather prediction or newer Artificial Intelligence/Machine Learning prediction systems.  

The reality is that we do not currently have a high-resolution ensemble that can reliably predict these fine-scale snowfall variations.  If you think the HRRR can do it, think again.  Here's the forecast from yesterday morning's HRR through 1200 UTC 6 March (5 AM today).  The numbers for Deer Valley and Alta-Collins aren't bad, but note how the snowfall maximizes not on the Deer Valley ridgeline but instead on the Alpine Ridgeline near Lone Peak.  We don't have observations up there, but I think that's an unrealistic spatial pattern.  

In part, this may be due to the resolution, or the grid spacing of the HRRR, which is about 3 km, or possibly due to how it deals with cloud processes, including the growth and transport of snow in storms.  The swiss aren't running models at 3 km grid spacing.  They are running them at 1 km grid spacing and trying to get even finer.  That might help.  However, one also has to be able to handle the snow growth, transport, and fallout processes right and this is where observations and clever minds are needed to incorporate such effects into our modeling systems.  

AI/ML is pretty exciting and is going to become increasingly important moving forward, but it's unclear how to do it for such fine scale precipitation patterns in which training datasets are limited.  There are some proposed approaches, but it's going to take careful testing and evaluation to advance AI/ML capabilities for situations like this.  

I guess in the end things haven't changed much throughout my career.  I love snow and winter storms in complex terrain and these are the kinds of problems that I want to work on.  Beyond my own personal interests, advances in these areas would likely help with forecasting for the 2034 Olympic Winter Games, road weather and avalanche mitigation in Little Cottonwood Canyon, and other weather and climate applicatios over northenr Utah.  

A Big Spring Storm

The model runs are pretty spicy and exciting this morning with a significant storm moving later today.  The latest GFS suggest precipitation beginning in the central Wasatch this afternoon or evening and continuing into Friday.  Let's have a look.  

The GFS forecast valid 0600 UTC 6 March (11 PM Wednesday) shows that the early part of the storm is characterized by an deep upper-level trough (upper left panel below) with a lower-tropospheric cyclone (red L in images below) over Nevada.  Associated with this system is an inland penetrating atmospheric river  atmospheric river that approaches northern Utah via the lower Colorado River Basin.  The crest-level 700-mb flow (lower left panel) is southerly or even south-southeasterly in the vicinity of the central Wasatch with 700-mb temperatures near -5°C.

Thus, the overnight storm period has all the hallmarks of a warm, high-density storm period.  Through 9 AM tomorrow morning, the GFS generates 0.77" of water and 8.2" of 10% water content snow. The HRRR is even more excited with water with 1.65" of water and 13.8" of 12% water content snow.  And that's just the start.  For the Wasatch Back crowd, that little bit of easterly flow gets my attention and suggests this could be a period where  you do pretty well.  This could be a period where snowfall is greater at Deer Valley and less at Snowbird, but we'll see if that pans out.  

The GFS drags the main cyclone very slowly across our area, resulting in a prolongued period of moist southerly to southwesterly flow that continues through the day tomorrow,  By 0000 UTC 7 March (5 PM Thursday), the storm is so wrapped up that we actually have cooler air moving into northern Utah from the southwest, as illustrated by the 700-mb (crest-level forecast at lower left).  By this time, the AR has moved downstream, but there's fairly deep instability and it's March, so things might get a bit convective tomorrow afternoon.  

I'm not sure if we might get a break in there for a bit as sometimes there can be a dry slot that sets up in a pattern like this, but by and large I suspect we'll see periods of snow tomorrow that will continue to stack up.  

Eventually the system moves through and we get into colder, unstable, northwest flow for Friday.

I've summarized the storm phases in the time-height section below.  Time increases to the left.  First there is the warm and juicy AR period Thursday night.  Note the low-level southeast flow that might favor the eastern side of the central Wasatch.  Then on Thursday, colder air wraps around the system and moves in aloft from the south and southwest.  Call it an upper cold front if you like, but it will destabilize things.  Temperatures drop further on Friday evening with a transition to colder, post-frontal flow.  

For Alta-Collins, storm totals in the GFS through 7 PM Friday are 1.77" of water and 24.1" of snow.  Expect that to be high density snow to start and lower density Thursday night and Friday.  The HRRR only runs through 5 AM Friday but it has 2.22" of water and 20.2" of snow.  It's less bullish on the post-frontal period whereas the GFS produces snow more continuously through the period.  Such model inconsistencies are one of the joys of being a meteorologist!

I'm inclined to go for a storm total of 1.5-3" of water and 20-36" of snow for Alta-Collins through Friday evening.  There are uncertainties in timing and details, but this looks like a pretty good storm.  The early part could be a big producer on the Wasatch Back.  It's a warm storm and perhaps snow levels will flirt with the lower Jordanelle/Mayflower area during the atmospheric river phase tonight and early tomorrow.  At upper elevations, I suspect the snow will be fairly dense everywhere before trending drier late Thursday and Friday. 

Buckle up and monitor forecasts.  There's a lot of moving parts in this storm. 

Meteorological Winter Ends

Meteorological winter, which includes December, January, and February, ended yesterday.  In the Salt Lake Valley, it wasn't much of a winter.  The average temperature at the Salt Lake City International Airport was about 36.4°F, making it about the 7th warmest on record*.  The asterisk is because there appear to be two days missing from the records I can access, so those numbers could change slightly.  

Snowfall was scant with only 10.4".  A day is missing for the snowfall records too, although I believe the total is probably right (the missing day was likely snow free).  This is the third lowest on record behind 2014/15 (6.0") and 1962/63 (8.8").  

Source: https://xmacis.rcc-acis.org/

The SNOTEL data in the central Wasatch has been a bit squirrelly this year, but for end of meteorological winter snowpack, most sites are a bit below average including Snowbird (90%), Brighton (88%), Thaynes (73%), and Parley's Summit (95%).  Mill D North sits at 118% and is the high outlier.  

All of the data discussed above is collected by the NOAA/National Weather Service and National Resources Conservation Service.  Media reports suggest firings occurred in both of these agencies prior to and during this past week.  Additional employees in both agencies opted for the "Fork in the Road" buyout.  I haven't seen official numbers, but I've seen some estimates suggesting that the NWS lost about 10% of their workforce.  It is my impression that nearly everyone in the weather, water, and climate enterprise, which spans the government, private, and academic sectors, believes this will reduce the Nation's capacity to anticipate, prepare, and respond to weather and related hazards as we enter severe weather, hurricane, and wildfire season.  It will also affect the Nation's ability to advance the prediction of weather and water related hazards in the long term.