Guest Post by Willis Eschenbach
There’s a paper out by, inter alios, our good friend Judith Curry. The paper is “Impact of Declining Arctic Sea Ice on Winter Snowfall”, by Jiping Liu, Judith A. Curry, Huijun Wang, Mirong Song, and Radley M. Horton (PDF, hereinafter L2012). Judith has a thread discussing the paper at her excellent blog. Their claim is that reducing Arctic sea ice leads to heavier winter snowfall. Inherently, this seems to make sense. Less ice means more evaporation, and because what goes up must come down, more evaporation means more snow. Case closed … or not …
Unfortunately, the paper doesn’t live up to its promise. Oh, it has lots of pretty pictures. Here’s one of them:
Figure 1. According to L2012, this shows the difference between the outputs of two climate model runs. I would call this is pretty conclusive evidence, perhaps even the long-sought “smoking gun”, that clearly establishes that the two climate model runs were indeed different.
Here’s what their abstract has to say (emphasis mine):
Abstract
While the Arctic region has been warming strongly in recent decades, anomalously large snowfall in recent winters has affected large parts of North America, Europe, and East Asia. Here we demonstrate that the decrease in autumn Arctic sea ice area is linked to changes in the winter Northern Hemisphere atmospheric circulation that have some resemblance to the negative phase of the winter Arctic Oscillation. However, the atmospheric circulation change linked to the reduction of sea ice shows much broader meridional meanders in mid-latitudes and clearly different interannual variability than the classical Arctic Oscillation. This circulation change results in more frequent episodes of blocking patterns that lead to increased cold surges over large parts of northern continents. Moreover, the increase in atmospheric water vapor content in the Arctic region during late autumn and winter driven locally by the reduction of sea ice provides enhanced moisture sources, supporting increased heavy snowfall in Europe during early winter, and the northeastern and mid-west United States during winter. We conclude that the recent decline of Arctic sea ice has played a critical role in recent cold and snowy winters.
So … what’s not to like? Reduced ice causes cold surges, leading to more snowfall. Case closed … or not …
For me, the first clue that something is wrong in a study is often that they don’t start out with a historical look as far back as the records may go. In this case, the satellite ice area as records go back to 1978. But in this study, they only show snow records going back as far as the antediluvian year of 2007/2008 … at that point, the bells started ringing for me. I always start with the longest overview of the question that I can find.
So let me remedy that, and we can see if declining sea ice really does lead to cold, snowy winters. The upper panel of Figure 2 shows the actual ice and snow data (normalized to an average of zero and a standard deviation of one). Below that, the lower panel shows the anomalies in those same normalized datasets once the monthly averages have been removed.
Figure 2. Arctic sea ice area (blue) and Northern Hemisphere snow area (red). Upper panel shows actual data. Lower panel shows the anomalies of the same data, with the same units (note different scales). The R^2 of the snow and ice anomalies is 0.01, meaninglessly small. The R^2 of the first differences of the anomalies is 0.004, equally insignificant. Neither of these are significantly improved by lags of up to ± 6 months. SNOW DATA ICE DATA
I’m not going to say a whole lot about this graph. It is clear that in general the arctic ice area has been decreasing for twenty years or so. It is equally clear that the northern hemisphere snowfall has not been increasing for the last twenty years. Finally, it is clear that there is no statistical relationship between decreased ice and increased snow.
I will leave it to the reader to decide if, as the authors of L2012 say in the Abstract, ” the recent decline of Arctic sea ice has played a critical role in recent cold and snowy winters.” I certainly don’t see it in the historical record. And this is why graphing the full record of both variables is so important. There may be some effect there … but if so, it is a very small effect, it’s invisible at this level.
In a more general sense, I see this as studying “how many snow-storms can dance on the head of an iceberg”. There have been no breakthroughs in climate science in thirty years, and I can see that the people searching for the “smoking gun” establishing a “human fingerprint” are getting mighty frustrated. But that is no reason to give up on the important questions and work on this kind of trivia. If there were a significant effect of decreasing ice causing increasing snow area, it would be visible in Figure 2. So at best, they are studying some tiny, third-order phenomenon. There’s nothing wrong with doing that once a field has no big questions left unanswered.
The thing is, climate science is nothing but unanswered questions, big questions. And until those questions have answers, for them to be wasting their valuable time and their trained scientific curiosity on this kind of small potatoes?
I suppose it’s meaningful in some universe … not mine.
w.
PS—The authors do deserve kudos, however. The paper nowhere contains the words “human influence”, “AGW”, “anthropogenic”, or “CO2”. That alone is shocking enough that it should get a medal of some kind.
PPS—Joe D’Aleo discussed the L2012 paper on WUWT here. Unfortunately, he didn’t show a direct comparison between ice and snow either.
PPPS—The title is from Mae West, who said “I used to be Snow White … but I drifted.”
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Septic Matthew/Matthew R Marler says:
March 6, 2012 at 6:47 pm
“They could still be wrong, I won’t deny that, but your analysis does not show it.”
Willis’s graph is slightly misleading but actually his analysis is reasonable; that to show the existence of a mechanism, there needs to be some correlation between snowy NH winters and low sea ice in the arctic in autumn. While the reasoning and some of the supporting discussions are perfectly plausible and make good sense, the supporting evidence is not clear.
We “know” that the last 4 or 5 winters in the NH have been anomalously cold but they only cite the Rutger snow extent data. And I do think that the broad thrust of Willis’s criticism is valid that there should be an effort to find other examples of low ice/snowy winters in the past at least to support the conclusion, even if the evidence is only anecdotal.
The key issue in the paper, is changes to the atmospheric circulation pattern due to open arctic water in autumn, but as one other critic of the paper notes, you can strike a bell with anything and get the same note.
> You say “Curry doesn’t claim a relation between sea ice and total snow extent”, but that doesn’t hold up when you look at what she said.
But notice, in reply, that you only quote some ambiguous words – not any of the actual results from the paper. No figures, no numbers – those are the actual content of the paper, as always. The words are just wrappers around the numbers and the figures.
> This circulation change results in more frequent episodes of blocking patterns that lead to increased cold surges over large parts of northern continents.
Cold surges, not snow amount, and notice the restricted geographical range. Some gets colder, sometimes. Some gets warmer. No claim about total snowfall, or total extent.
> Moreover, the increase in atmospheric water vapor content in the Arctic region during late autumn and winter driven locally by the reduction of sea ice provides enhanced moisture sources, supporting increased heavy snowfall in Europe during early winter, and the northeastern and mid-west United States during winter.
More snow, but only in restricted regions. This is what her figures show – not an increase in overall snowfall.
> If I look at the winter (DJF) North American snow…
You haven’t defined the region “North American” that you use. The paper doesn’t use that region; what it says is “northeastern and mid-west United States” though I think those are words about the figure (the one from the paper that you have reproduced). Looking at that figure, and the gradient between red and blue over “North America”, it is easy to see that you’re unlikely to see much using the analysis in your comment.
You’ve read something into the paper that isn’t there. You’ve looked for an effect that wasn’t claimed, and you haven’t found it, leaving you in agreement with the actual paper, though possibly not with your mental image of the paper.
In the end we did Northern Hemisphere snow extent to death in the thread http://wattsupwiththat.com/2010/03/02/2001-2010-was-the-snowiest-decade-on-record/
To summarise the statistical discourse from that thread :
The data set in play http://climate.rutgers.edu/snowcover/files/moncov.nhland.txt
shows no significant change in mean snow cover at the 95% confidence level in any of the following scenarios: whole year(01-12), early winter (11,12,01) winter (12,01,02) early spring/late autumn (02,03,09,10) between 1966 and 2010. It does indicate increased winter(12,01,02) variability that occured between 1977 and 1987 diminished between 1988 and 1998 and was undetectable in 1999-2010.
Using the standard widget makers techniques outlined in ANSI/EIA-557-A-95 NH Winter Snowfall has the charecteristics of normal variability about a stable mean. But it is possible to identify abnormal Winter snowfall years as 1978 (Abnormally High), 1980 (Abnormally Variable) and 1981(Abnormally Low). !979 Arctic Sea Ice minima 7.1 M Km 1980 ASIM 8.1 M Km2 I can’t find a figure for 1977. So in two of the instances where we are looking for an Assignable cause Arctic sea ice extent was substantially higher than it was in the period 2007 – 2011 where no exceptions occurred.
An increase in Minimum sea ice between ’79 and ’80 was followed by light winter snowfall but it would be hard to assign causality given the presence of other climate perturbing events in the same time period (Major eruptions at Etna and Mt St Helens for example).
Do not you find yourself constantly surrounded by people like that?
Today’s countries are full of them!
People walking all day, every minute of the day, worried about everything! Concerned about air, the water, worried about the soil. Concerned on insecticides, pesticides, food additives, carcinogens. Concerned about radon gas, asbestos. Concerned about saving endangered species!
We’re so cocky. So so cocky! Everyone is going to save something now: “Save the trees, save the bees, save the whales, save those snails.” And the greatest arrogance of all, “Save the planet” WHAT? Is that [SNIP: Language. -REP] people teasing me? Saving the planet? We do not even know yet how to take care of ourselves. We have not learned to care for one another and are we going to save the [SNIP: Language. -REP] planet?
Curry was over here. She did not post a reply. I guess she is a bit upset with the fast shotgun approach to her paper. Willis this is the moment where a smart guy starts thinking about sending flowers. Dont forget women are always right. I know it is a lie just like AGW but that one stood the test of time.
I took the liberty to quote her reply on her own blog “There is nothing there to infer anything quantitatively about NH total snow cover, which is what Willis analyzed. Most notably, our analysis clearly says nothing about any change in large regions of Russia and Canada. The moisture source from the open water in the arctic ocean is secondary to the atmospheric circulation change.
In the conclusion, the words used are “The results of this study add to an increasing body of evidence . . .” are the appropriate words in my opinion. The “we conclude” statement in the abstract (where word numbers are limited) comes across a bit strong, but I think the more thorough statements in the the Discussion are appropriate. Again, some of these words are not mine such as “load the dice”.
IMO the significance of this paper is in understanding seasonal snowfall variability, which is a goal of seasonal forecasting.”
Agnostic:Willis’s graph is slightly misleading but actually his analysis is reasonable;
I agree that Willis’ analysis is reasonable: he clearly showed that something they clearly did not claim is clearly not supported by the data.
LucVC says:
March 7, 2012 at 8:55 am
Thanks, Luc. Judith can get flowers from me any time, I appreciate her general approach.
And if all that her paper says is that in years of low ice, some small parts of the US and Europe experience different snow patterns, well, that may be so … so?
Let me repeat what I said:
We have a branch of science where there is no overarching theory other than
∆T = λ ∆F
and that is clearly wrong … and meanwhile people, brilliant people like Judith, are spinning their wheels on trivial questions like this one.
Is there some relationship between decreasing ice, and snow levels? I would be surprised if there were not such a relationship at some point at some time. Just keep splitting the spatial field and the time into smaller and smaller sections. No relationship worldwide? Lets look by continents. No relationship over Eurasia or North America? Lets look by countries and smaller areas. No relationship in the whole US? Lets look by parts of the US …
HEY, WE FOUND A RELATIONSHIP! It’s between sea ice levels and snowfall, not on the planet, not on the continent, not in the country, but in the “northeastern and mid-west United States” … Oh, and we found a relationship for Europe as well … but not for the whole winter, just for some parts of the winter …
Doing that kind of thing, when there is no theory of climate and there are huge unanswered questions in the field, is the waste of a brilliant woman.
Anyhow, that’s my flowers for Judith.
w.
PS—People in climate science always forget that the more you divide up your fields, the more likely it is that you will find a “statistically significant” relationship that is nothing of the sort.
Suppose, for example, that you are looking for a relationship where p is less than 0.05. That is (foolishly but usually) taken as significant in climate science.
The odds of that happening by chance are one in twenty.
So … how many situations do you have to look at until you have 50/50 odds of hitting one of those “happened by chance” areas of FALSE STATISTICAL SIGNIFICANCE?
The answer is the solution to the equation 0.95^x = 0.5. The solution is log(0.5) / log(.95), which is about 13. At that point you have a 50/50 chance of finding a spurious result.
Now look at what Judith et al. have done. They have divided the winter up into early, middle, and late. They have divided the world up into (at a minimum) Europe, Asia, Canada, Alaska western US, and eastern US.
That gives us no less than 18 categories already … so we have better than a 50/50 chance of finding a “statistically significant” result in there that is not significant in the slightest, but is an expected random occurrence.
Any real statistician would have allowed for this in the experimental design. Judith and her co-authors, as far as I can tell, have ignored the issue entirely.
So while she gets flowers from me, it’s not for her statistics or experimental design …
Sorry, but the snow extent in the NH is quite important in this case because these regions that get more snow from this atmospheric pattern are always the areas that don’t get any snow most of the time away from mountains. When the AO is positve the extent of NH snow is greater than when it is negative. The positive NAO always has the least amount of NH snow extent, whereas the negative NAO always the greatest amount of snow extent. With this evidence even though the NH snow extent wasn’t mentioned in the paper this becomes an important matter. My last post describes even concentrating on the change in atmospheric pattern that the claims are still very weak.
My previous post should show this below.
“When the AO is negative the extent of NH snow is greater than when it is positive.”
Willis Eschenbach: HEY, WE FOUND A RELATIONSHIP! It’s between sea ice levels and snowfall, not on the planet, not on the continent, not in the country, but in the “northeastern and mid-west United States” … Oh, and we found a relationship for Europe as well … but not for the whole winter, just for some parts of the winter …
Doing that kind of thing, when there is no theory of climate and there are huge unanswered questions in the field, is the waste of a brilliant woman.
Most of scientific research is like that. These relationships may not be as exciting as what everyone wants, but they contribute to the total amount of knowledge. 100+ years ago was the purely empirical Balmer series of no known importance, and by 1939 Lisa Meitner and Otto Hahn had published dozens of mostly boring (to us now, and to most researchers then) papers documenting the breakdown pathways of radionuclides. I agree that this paper is not likely a part of a momentous theory such as followed those works, but practically nothing is.
Meanwhile, you have successfully refuted a claim that they did not make. Evidently, on your report, you did this because you were not interested in what they paper actually (pending replication) showed.
@Willis, the paper deals with a not so trivial issue.
Firstly, changes to snowfall (but more particularly snow extent) is important because an increase means higher albedo and thus a cooling affect. What they show here is that a reduction in sea ice or more open water in autumn leads to a . So the irony of alarmists saying that snowy winters are ’caused’ by global warming may actually be quite true. Global cooling is caused by global warming….
Secondly, from the point of view of seasonal forecasting, this paper adds to the body of knowledge and points to where further research may be warranted. That may include looking for correlations in the historical record, looking at sea ice distribution and prevailing winds to see if there is a pattern that might affect where higher snowfall precipitates.
@Septic Matthew/Matthew R Marler says:
March 7, 2012 at 9:38 am
Well actually the reason I think willis’s objections are reasonable is because the supporting data is unclear. Contrary to what William Connelly states up thread, they do suggest higher snow fall and colder winters as a result of the effect they are analysing. It may be that the data makes better sense to readers really familiar with it, but I know the Rutger data set well having done my own analysis of it, and it is the only source quoted, and it deals with extent not total fall, although they are undoubtedly correlated, they are not the same thing.
A lot of the confusion could be cleared up if the supporting evidence was set out more clearly. Willis might not have been drawn to make the analysis he did had that been the case. One of his big frustrations that comes through in many of his posts is that many climate papers just don’t clearly establish a connection between what they discuss and the evidence they cite to support it, and I am afraid I think this paper is one of them.
That said, I agree with the paper. It makes a clear, logical and reasonable case and I would be very surprised to find that the mechanism they propose does not exist or has no effect. So while it may annoy Willis because it lacks proper rigour, it is one of those things to ‘keep your eye on’ as it were.