This graph, from 4-30-22 shows that the snowpack on Stahl is still increasing. The upper line on the record suggests that there’s only a week or so left for it to increase. Still, 127% of the long-term average is nice to see.
NOAA has this posted for May-June-July, suggesting we can expect the chances of warmer temperatures and less than normal precipitation coming up.
Times have changed. In the seventies, I would have been up and out this morning to snowmobile in to Weasel Divide, Stahl Peak, and Grave Creek snow courses, and worked the details out in the evening in a Libby motel room. Now, I can get the data in my kitchen by clicking a link.
So we’re going into February at 127% of average – 5 ½ inches of water more. Something interesting happened between 2:00 pm and 3:00 pm on January 27 – the snow depth reported went from 187 inches to 75 inches, while the snow water equivalent stayed the same at 27 inches. This is why we carried so many spare parts on the back of the old Ski-doo Alpines – one ski up front, two tracks behind, and a small pickup bed behind the seat. Monitoring equipment needs to be monitored.
Date
Time PST
Snow WaterEquivalent(inches)
SnowDepth(inches)
SnowDensity(%)
PrecipitationTo-Date(inches)
CurrentTemperature(degrees F)
01/28/2022
0900
26.9
187.0
14
46.1
18.0
01/28/2022
0800
26.9
187.0
14
46.1
16.9
01/28/2022
0700
26.9
187.0
14
46.2
12.4
01/28/2022
0600
26.9
187.0
14
46.1
12.4
01/28/2022
0500
26.9
187.0
14
46.1
12.9
01/28/2022
0400
26.9
187.0
14
46.1
13.1
01/28/2022
0300
26.9
187.0
14
46.2
15.4
01/28/2022
0200
26.9
187.0
14
46.2
15.1
01/28/2022
0100
26.9
187.0
14
46.2
13.3
01/28/2022
0000
26.9
75.0
36
46.2
14.5
01/27/2022
2300
26.9
187.0
14
46.2
12.7
01/27/2022
2200
26.9
75.0
36
46.2
13.5
01/27/2022
2100
26.9
76.0
35
46.2
13.6
01/27/2022
2000
26.9
76.0
35
46.2
14.0
01/27/2022
1900
26.9
76.0
35
46.2
14.2
01/27/2022
1800
26.9
76.0
35
46.2
13.8
01/27/2022
1700
27.0
76.0
36
46.2
14.4
01/27/2022
1600
27.0
75.0
36
46.2
16.7
01/27/2022
1500
27.0
76.0
36
46.2
18.1
01/27/2022
1400
27.0
187.0
14
46.2
17.6
01/27/2022
1300
27.0
187.0
14
46.2
21.4
01/27/2022
1200
27.0
187.0
14
46.2
18.1
01/27/2022
1100
26.9
187.0
14
46.2
16.9
01/27/2022
1000
26.9
187.0
14
46.2
So what’s in store? As the chart below shows, there isn’t enough data yet for projecting seasonal precipitation reliably on the first day of February. Still, with the normal high around 39 inches on the first of May, we need only10 more inches of water to make it, spread over the next 90 days.
If you want more data relative to the upcoming temperature and precipitation projections, NOAA has the official long-lead forecasts available at: cpc.ncep.noaa.gov
It looks like our temperatures will be a little below normal for March-April-May, leading to a bit slower snow melt.
The precipitation probability is also above average – so things look good for the Spring.
As I look back, it is easy to see how a career starting in snow surveys provided good experience as I moved into demography. There really isn’t a lot of difference between projecting snow depth and human populations.
In the last half of the seventies, the Monday after Christmas was committed. I would meet Jay Penney at Graves Creek, get into the Snow Survey crummy and then we would measure the snow depth at Weasel Divide, Stahl Peak, and Graves Creek. It’s so long ago that none of our measurements remain in the 30 year average. We were the moderns – 440 cc Skidoo Alpines, and clockwork recorders that measured the snow-water equivalents through the month – all we needed to do was wind the clock and pack the chart away. The guys we followed had done things differently – drive up Burma Road, snowshoe or ski to Weasel Cabin, build a fire, measure the snow course, eat dinner, sleep, hike into Stahl the next morning, measure the snow course, camp in the lookout, hike down, measure Graves Creek, reach the road and drive back into town.
My work was transitory – duplicating the traditional measurement dates and working with new recorders, battery power, early solar cells, and working with the technology that would make us unnecessary.
My work was easier than my predecessors. I used snowshoes where I couldn’t take a snowmobile. Today, the remote monitoring is so good that I can click the link, and learn what the snowpack is on Stahl without leaving the warmth of my house. Try it, you’ll like it. https://www.nwrfc.noaa.gov/snow/snowplot.cgi?STAM8
Date
TimePST
Snow WaterEquivalent(inches)
SnowDepth(inches)
SnowDensity(%)
PrecipitationTo-Date(inches)
CurrentTemperature(degrees F)
12/27/2021
0900
18.9
67.0
28
36.9
6.6
12/27/2021
0800
18.9
67.0
28
36.9
7.0
12/27/2021
0700
18.9
67.0
28
36.9
5.0
12/27/2021
0600
18.9
67.0
28
36.9
3.0
12/27/2021
0500
18.9
67.0
28
36.9
3.0
12/27/2021
0400
18.9
67.0
28
36.9
2.1
12/27/2021
0300
18.9
67.0
28
36.9
0.9
12/27/2021
0200
18.9
67.0
28
36.9
4.6
12/27/2021
0100
18.9
68.0
28
36.9
2.1
12/27/2021
0000
18.9
68.0
28
36.9
13.6
Nearly 19 inches of water in 67 inches of snow – 28% density, and warming after a near-zero night. Of course, this is what would have been the January 1 run, and definitely not the time to announce whether the year was a high or low snowpack. The next chart replaces the hand-written notes that Jay carried when I started, or that I carried after congestive heart failure took him off fortyfive time – 045 was the code we used for time spent on snow surveys.
26% above the thirty-year median. It’s a number, but if we use it, we’re projecting from too little data. Things can change with January and February’s snows – but above the mean is good. Full soil profiles are good for plant growth and delay the susceptibility to fire. And the Corps of Engineers paid that fortyfive time to get information to manage the reservoirs.
The next chart shows the 30 year mean, average and this year’s numbers in the lines – but the shaded area shows the variance. You may note that by August 1, the snow is always gone, but the chart shows that it has melted off by the first week of June.
As an old man, it’s good to be able to keep up on the information. We did haul a lot of equipment in and out on those Alpines to help move toward the automated systems we have today.
The long-term average for snow surveys were dated for the first of the month when I started measuring snow 45 years ago. The old guys did it the hard way – up Burma Road early, skis or snowshoes to the Weasel Cabin, build a fire, sample the snow course, then overnight. The next day they would head down the creek, then climb Stahl, build a fire, sample the snow course, then hike out the next morning, sample the course at Grave Creek, hike the rest of the way out and finish the job driving the pickup out. As a modern, I drove a snowmobile and did 3 snow courses in a day. Now I click a link on the home computer, and can look at the whole basin’s information in minutes.
The numbers from March 1 were kind of sacred – there had been enough winter that Jay Penney felt safe projecting the data – enough was in that he would comment that the snowpack was light, normal or heavy.
These are some of the snow courses I measured in those middle days, when we thought a snowmobile was absolutely modern, and were experimenting with measuring snow water at Noisy Basin with a radioactive source and receiver. We were state of the art back then.
Elevation
Water Equivalent
Percent of Average
Banfield Mountain
5600 feet
13.1 inches
88%
Hawkins Lake
6450 feet
18.9 inches
94%
Garver Creek
4250 feet
8.4 inches
101%
Stahl Peak
6030 feet
24.4 inches
86%
Grave Creek
4300 feet
13.1 inches
87%
Poorman Creek
5100 feet
29.4 inches
95%
Bear Mountain
5400 feet
45.6 inches
87%
Hand Creek
5035 feet
9.2 inches
102%
Noisy Basin
6040 feet
31.5 inches
106%
To get to the data – and the map – you just click https://www.nwrfc.noaa.gov/snow/ . Making the data so available makes hydrology a science for everyone.
45 years ago, it took a week’s effort on a Ski-doo Alpine to get the data I can download in 10 minutes. We were high-tech then – two tracks and a single ski on each snow machine, and clockwork powering the recorders that kept track of the water equivalent setting on the snow pillow. Now there are fewer stations – and the missing Bald Eagle Peak data reminds me of the winter climbs up the mountain, carrying the heavy sampling tubes, on snowshoes. Probably the hardest work of all, and that data collection no longer maintained.
The simple description of the snowpack is that it is a bit lower than average, but next month will provide enough data for the NRCS hydrologist to start projecting data. We always tried to have the measurements done for the first of the month, so I looked on January 31. The ten-minute download from the places I once spent the better part of a week getting to is:
Water Equivalent
Percent of Average
Banfield Mountain
10.4 inches
87%
Hawkins Lake
15.5 inches
96%
Garver Creek
7.1 inches
103%
Stahl Peak
20.7 inches
89%
Grave Creek
8.6 inches
81%
Poorman Creek
17.1 inches
75%
Bear Mountain
30.2 inches
82%
Hand Creek
6.0 inches
81%
Noisy Basin
23.0 inches
90%
To get to the data – and the map – you just click https://www.nwrfc.noaa.gov/snow/ . It also provides elevations of the sites so you can get a great idea of how the winter snow is up high. Making the data so readily available makes hydrology a science for everyone.