My FWSA Transcript on Climate Change and the Future of Snowsports

Tony Crocker

Administrator
Staff member
I have been collecting snowfall data from North American ski areas since 1992, with some data reaching as far back as the late 1960’s. Summary data for 116 locations are on my website bestsnow.net and I have over 80 of these every year since 1989, over 60 since 1982 and over 30 since 1973. The first chart weights equally 8 ski regions, 7 in the West and one in the East.
00_NA_SkiAreaSnowfall.jpg

The 8 regions have similar lift served ski acreage and the areas with data cover about 90% of both ski acreage and skier visits.

Some people began inquiring about ski area snowfall trends in the late 2000’s, and at that time my data going back to the early 1970’s showed no trend either on an overall basis or at the regional level. From 2001-2013 worldwide temperatures increased at about ¼ the rate predicted by the climate models. Temperatures increased sharply from 2014-16 and with further recent increases are in line with the climate models, projecting near term increases at a rate of about 0.2C per decade.

While there is strong scientific consensus upon rise in temperatures since 1970 and that those increases will continue under current assumptions, there is very little consensus that the climate models can accurately predict clouds, precipitation or regional climate nuances. Therefore I continue to examine the snowfall data I receive each season.

As shown in the first chart there is still scant evidence of any decline in snowfall at North American ski areas. The next table lists the areas where I have the most data, usually over 50 years.
01_MaxDataAreas.jpg

The bold numbers are 2000 and later snowfall averages and standard deviations as a percent of 1999 and prior. The key points are that both numbers are slightly lower since 2000, which means that snowfall volatility (or whiplash) is not increasing. With precipitation not necessarily affected by the rising temperatures (and there are arguments precipitation could increase), I believe the focus of study should be upon whether and where there might be more rain and less snow.

In interior ski regions of North America rain is sufficiently rare that any impact upon snowfall lies decades in the future. One could argue that the Colorado Rockies with their high altitude resort elevations are more insulated from climate change than any other ski region in the world.

So I narrowed my focus to the ski regions that have always experienced significant rain, those being the Northeast and the lower elevations along the West Coast. Here’s the Northwest since 1971.
02_NW_SkiAreaSnowfall.jpg

Note the cluster of high La Nina snow years in the early 70’s.

For a long term perspective, here’s AltaGuard Utah since 1946.
03_AltaGuardSnowfall.jpg

It would show more of a decline starting in 1970 or 1980, but not when you include the lean 1953-63 seasons.

The ~1C increase in temperatures should translate to an average increase in the rain snow line of about 500 feet. In practice it’s not so simple.
  • The rain/snow line, like all weather phenomena, is volatile by season and by individual storm within a season.
  • The ~1C temperature increase since 1950 is a worldwide average and may be larger, smaller or even nonexistent is particular locations. It’s well known to be far larger in most of the Arctic for example.
  • The temperature increase in a particular location may not be evenly distributed seasonally. In interior continental locations the temperature rise is more in summer. That would explain why alpine glaciers in Europe and North America are retreating even though winter snowfall may not be declining at all.
Here’s California, flat trend but lots of volatility.
04_CA_SkiAreaSnowfall.jpg


From 1988-2019 the Central Sierra Snow Lab measured an exact daily split between rain and snow.
05_CSSLRainPct.jpg

2013-2018 had high rain incidence. This was particularly destructive in 2013, 2014 and 2015 when snowfall was only half normal.

Further rain vs. snow analyses are based upon the ratio of total water to total snow. As season averages increase above 15% and particularly 20%, increasing rain incidence can be presumed. In the West Coast locations in lower middle ski area range, the ratio of total water to total snow is increasing gradually despite no evidence of declining snowfall. Here’s Alpine Meadows since 1971 in same climate zone as CSSL.
06_AlpineWaterSnow.jpg

2019-2023 in the Sierra had rain incidence more in line with prior history.

In one location that is very low in ski area context, Government Camp, Oregon, the ratio of total water to total snow is climbing more rapidly.
07_GovtCampWaterSnow.jpg

25% to 35% means a lot of rain, but Government Camp is below most Oregon ski area bases and gets 245 inches vs. 452 1,500 feet higher at Hood Meadows.

Move up to higher elevation at Crater Lake and the rain/snow trend is trivial.
08_CraterLakeWaterSnow.jpg

Pacific ski areas with sufficient altitude like Mammoth, Kirkwood, Mt. Rose, Bachelor and the Whistler alpine so far have minimal impact from rain.

One location with a recent negative trend is Alyeska. Here I compare mid to top elevation snowfall.
09_AlyeskaSnowMidTop.jpg

As of 2019 this data set looked like a huge global warming signal. Each of the 5 years 2015-2019 had a lower proportion of mid to top snowfall than any of the prior 32 years. 2025 was another wet year after 4 better ones.

The Northeast is more complex with an overall slight declining trend in snowfall over the past 50 years.
10_NE_SkiAreaSnowfall.jpg

In the Northeast latitude and distance from the Atlantic are probably at least as important as altitude in determining rain incidence. The trend for increasing rain incidence is less at the eastern locations I studied than at lower West Coast locations.

Here’s Pinkham Notch, the pass between Tuckerman Ravine and Wildcat ski area.
11_PinkhamWaterSnow.jpg

Overall rain incidence 20-25% is comparable to the lowest ski areas on the West Coast, and it is extremely severe 45% during the shoulder season months of November and April.

Very prominent in the data are the unprecedented levels of rain vs. snow in the Northwest in 2014-15 and in the Northeast in 2015-16. It is not unreasonable to assume that such outlier seasons may become less rare as temperatures increase further.

What about SoCal? Here’s L.A. rainfall since 1978, extremely volatile but no real trend.
12_LARainHistory.jpg

Note 1944-64 with 10 years under 10 inches rainfall, not the good old days as that means less than 80 inches mountain snowfall. Snowfall since 1969 is my unofficial estimate based upon monitoring ski reports as data is scattered and often not reliable.
13_SoCalSnowfall.jpg

Even more unofficial is my count of rain days in the ski areas since 1978.
14_SoCalSkiAreaRain.jpg


I am skeptical of whether models can predict changes in weather patterns. One prediction is that latitudes in the lower 30’s may become drier. Taos snowfall supports this view though the data starts in its record high 1972-73 season and ends with its second lowest.
15_TaosSnow.jpg

However L.A. rainfall is not declining and neither is Arizona Snowbowl’s snowfall. It’s hard to come up with a meteorological explanation why New Mexico would be getting drier when SoCal and Arizona are not. But my gut feeling from living in SoCal is real. The Southern California mountains are downwind from an urban heat island with 15 million people in it—and I just suspect that’s not good. The areas closest to L.A., Mt. Waterman and Mt. Baldy, seem most affected by increasing rain vs. snow.

At latitudes 33-35 in South America, drought since 2010 is more severe than in the American Southwest. Portillo is the latitude of San Diego, lower than every US ski area except Mt. Lemmon near Tucson.
16_PortilloSnow.jpg

Portillo volatility is extreme. If you extend data back into the late 1950’s (using a nearby mining site), you find another drought period similar to what we see in Alta snow and L.A. rain.

Despite the outlier examples I’ve cited, in the case of the Western United States, I push back and say strongly—our children and grandchildren are going to be enjoying these same ski areas with, overall, not very different conditions than we’ve seen in our times.
 
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There was a Q&A, and I answered one question: My understanding is that the latitude for growing crops is shifting farther north. Might we see something like that for snow, towards Alaska?

As I mentioned, the biggest ski area there is not one whose trend I like because its base is almost at sea level and starting to get more rain. It's the combination of latitude and altitude. The rule of thumb is that one degree of latitude is equivalent to 275 feet in altitude. The other number to remember is that 1 degree Centigrade of temperature corresponds to 500 feet of altitude.

Mammoth is 37 degrees latitude but the top is over 11,000 feet. Mammoth is just as good now for skiing as it was 50 years ago, and I would be surprised if it degrades hardly at all. In Southern California the altitude of our local ski areas is not what it needs to be. If we had gotten San Gorgonio we would be in better shape, but we didn’t. It’s a little different here in terms of natural snow.

I didn't get into snowmaking because even though the number of days snow can be made may have declined some over the past 50 years, snowmaking technology has improved so much that the areas really serious about snowmaking like Big Bear are much better now than they were 50 years ago. That doesn't mean they are not going to have more challenges going forward.

The above question, and those by James and ChrisC, prompted me to produce this table later:
Areacomp basecomp topcomp avg
Baldy - - -
Mammoth 2,383 3,383 2,883
Kirkwood 2,518 2,418 2,468
Heavenly 1,319 2,746 2,032
Palisades 1,056 1,806 1,431
Mt. Rose 2,792 2,492 2,642
Mt. Ashland 1,998 1,048 1,523
Crater Lake 2,684 2,684
Willamette Pass 1,186 649 917
Hoodoo 956 (109) 424
Bachelor 2,170 3,135 2,653
Mt. Hood Ski Bowl 133 (467) (167)
Mt. Hood Meadows 1,076 1,753 1,414
Rainier Paradise 2,347 2,347
Crystal 981 1,982 1,482
Snoqualmie (282) 428 73
Stevens 1,028 907 967
Baker 962 462 712
Cypress 371 285 328
Whistler (18) 3,162 1,572

Using the 500 feet per 1C temperature increase, that would imply that it would take a further 3C temperature increase for Mammoth to have the level of rain incidence that Palisades Tahoe does now.

I am not tempted to apply such a chart to areas inland of the Pacific States. Winter temperatures tend to get colder farther inland at similar latitudes but there's a lot of local variability in terms of how much colder.
 
At an org I worked at seven years ago, one of our corporate donors was Tableau. I remember its visualization software being able to boil down dozens of complicated graphs and reams of dense data into reader-friendly reports. Not sure if or how much AI has supplanted that product; however, I'd be interested to see what it would produce with all this (and East Coast) info.
 
At an org I worked at seven years ago, one of our corporate donors was Tableau. I remember its visualization software being able to boil down dozens of complicated graphs and reams of dense data into reader-friendly reports. Not sure if or how much AI has supplanted that product; however, I'd be interested to see what it would produce with all this (and East Coast) info.


Summary of North American Ski Area Snowfall Trends (BestSnow.net)


Data Scope & Sources


  • Snowfall data collected from 116 North American ski areas, with over 80 having annual records since 1989 and over 30 since 1973.
  • Covers ~90% of North American ski acreage and skier visits.

Key Findings


  • No consistent decline in snowfall observed across North American ski areas despite global warming trends.
  • Since 2000, average snowfall and volatility (standard deviation) are slightly lower, but not dramatically.
  • Interior and high-altitude regions (e.g., Colorado Rockies, Alta) show minimal impact from warming so far.
  • Northeast and low-elevation West Coast regions are more vulnerable due to frequent rain and lower snow lines.

Regional Analyses


  • Northwest (since 1971): Shows high variability; early 1970s La Niña years were snowy.
  • AltaGuard, Utah (since 1946): No clear long-term decline when accounting for dry 1950s–60s.
  • California: Flat long-term trend, but highly volatile with occasional high-rain years (e.g., 2013–2015).
  • Sierra (CSSL & Alpine Meadows): Increasing rain/snow ratio noted during 2013–2018, but more recent years align with historic norms.
  • Low Elevation Areas (e.g., Government Camp): Clear trend toward more rain vs. snow.
  • High Elevation Pacific Areas (e.g., Mammoth, Whistler): Still largely unaffected.
  • Alyeska, Alaska: 2015–2019 showed strong rain signal, with reduced snow at mid elevations.

Northeast U.S.


  • Slight long-term decline in snowfall; rain incidence high especially in November/April.
  • Pinkham Notch: Rain/snow ratio of 20–25% annually, up to 45% in shoulder seasons.

Southern Regions


  • Southern California: No strong trend in L.A. rainfall or mountain snowfall since 1970s; high variability.
  • Skepticism of climate models for local predictions; urban heat island effect may explain increased rain near L.A.
  • New Mexico (Taos): Apparent decline in snow, but not matched in nearby Arizona or SoCal ski areas.
  • South America (Portillo): Severe drought since 2010, but also had similar periods in earlier decades.

Overall Conclusion


  • Despite warming, no major decline in snowfall at most North American ski areas.
  • Rain/snow ratios are a more sensitive indicator of climate impact than total snowfall.
  • High-elevation and interior regions remain resilient.
  • Belief that future generations will continue to enjoy skiing in these areas under similar conditions.
 
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The above question, and those by James and ChrisC, prompted me to produce this table later:
Areacomp basecomp topcomp avg
Baldy - - -
Mammoth 2,383 3,383 2,883
Kirkwood 2,518 2,418 2,468
Heavenly 1,319 2,746 2,032
Palisades 1,056 1,806 1,431
Mt. Rose 2,792 2,492 2,642
Mt. Ashland 1,998 1,048 1,523
Crater Lake 2,684 2,684
Willamette Pass 1,186 649 917
Hoodoo 956 (109) 424
Bachelor 2,170 3,135 2,653
Mt. Hood Ski Bowl 133 (467) (167)
Mt. Hood Meadows 1,076 1,753 1,414
Rainier Paradise 2,347 2,347
Crystal 981 1,982 1,482
Snoqualmie (282) 428 73
Stevens 1,028 907 967
Baker 962 462 712
Cypress 371 285 328
Whistler (18) 3,162 1,572

So, Mt. Baldy is the baseline? I am not sure this does me much good since I do not have much experience/intuition with Baldy, but the data works
 
So, Mt. Baldy is the baseline?
It doesn't matter which area is the baseline; it's the relative numbers in the last column that are important. Thus I quoted
Using the 500 feet per 1C temperature increase, that would imply that it would take a further 3C temperature increase for Mammoth to have the level of rain incidence that Palisades Tahoe does now.
as an example. If Palisades Tahoe is an area you know personally, the chart tells you that Crystal and Hood Meadows probably have similar rain incidence, and that the rain/snow proportion is worse in SoCal, even though SoCal is much drier and surely has less absolute rainfall.
 
I'd be interested to see what it would produce with all this (and East Coast) info.
I have more of those water/snow charts, mainly from the Northeast, but I was inserted onto that panel at the last minute with a 10 minute time limit that I probably overran anyway. Because of my audience (event was hoisted by the Orange County Ski Club Council), I limited the Northeast content and covered the low latitude content more thoroughly.
 
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