Guest Post by Willis Eschenbach
There’s an interesting study in Science magazine, entitled “Ocean Salinities Reveal Strong Global Water Cycle Intensification During 1950 to 2000” by Durack et al. (paywalled here, hereinafter D2012). The abstract of D2012 says:
Fundamental thermodynamics and climate models suggest that dry regions will become drier and wet regions will become wetter in response to warming. Efforts to detect this long-term response in sparse surface observations of rainfall and evaporation remain ambiguous. We show that ocean salinity patterns express an identifiable fingerprint of an intensifying water cycle.
Our 50-year observed global surface salinity changes, combined with changes from global climate models, present robust evidence of an intensified global water cycle at a rate of 8 T 5% per degree of surface warming. This rate is double the response projected by current-generation climate models and suggests that a substantial (16 to 24%) intensification of the global water cycle will occur in a future 2° to 3° warmer world.
Let’s start with salinity of the ocean, and how it varies around the globe.
Figure 1. Mean salinity of the ocean in “Practical Salinity Units” (PSU). Figure 1(D) from D2012.
One thing that we can see in Figure 1 is that where there is plenty of rain, along the equator and near the poles, the ocean is less salty (lower salinity). Conversely, where there is a lot of evaporation and little rain, the ocean is saltier.
Intrigued by their thesis that “dry regions will become drier and wet regions will become wetter in response to warming”, I pulled out my Argo surface data to take a look at the salinity records, and to get some idea of how the salinity varies with time, temperature, and location. What I found agrees with my general mantra, “Nature simply isn’t that simple”.
I started by dividing the globe up into five regions: North and South Pacific, North and South Atlantic, and Indian Ocean. I like to start my investigations by looking at a large scale, and then work downwards. Here’s the records for the Indian Ocean.
Figure 2. Temperature versus salinity for the Indian Ocean. Colors indicate the year that the observations were taken. Click on the image for a larger version.
There are several things that we can see in this plot. First, there has been no obvious change salinity during the decade. The earlier records (red) are distributed very similarly to the later records (blue).
Next, the shape of the curve is interesting in that it shows a very different salinity response at different temperatures. At the coldest end of the scale, and up to about 5°C, increasing temperature yields decreasing salinity. Next, from 5°C to about 20°C, as temperature rises, salinity increases, meaning less rain.
Finally, above about 20°C, increasing temperature correlates with decreasing salinity, meaning more rain.
Now, let’s consider their claim, that with increasing temperatures “dry regions will become drier and wet regions will become wetter”. This claim rests on the reasonable assumption that the salinity is inversely related to rainfall, because the fresh rainwater dilutes the salty ocean.
But here’s the problem with the claim. Let’s take a look at two areas, both with the same salinity, say 35 PSU.
Figure 3. As in Figure 2, with a yellow line indicating ~ 35 PSU salinity.
Note that the yellow line intersects two areas, one warmer and one cooler. Now presumably, since salinity is a proxy for rainfall, the two areas are equally wet, or are equally dry.
Now, if the temperature increases, one of the areas (the one on the left) will show an increase in salinity (decreasing rain), while the other one will show a decrease in salinity (increasing rain).
But we can replicate this result at each level of salinity. At each level of salinity (and therefore rainfall), when it warms, some areas get wetter and some areas get dryer. Therefore, it is not true to say that as temperature increases “dry regions will become drier and wet regions will become wetter”. In fact, some dry regions will get wetter, and some will get dryer, and the same is true for wet regions.
This is just the Indian Ocean, however. Let’s see what the other areas show. Here’s the same graph, for the South Atlantic.
Figure 4. Temperature-salinity plot for the South Atlantic, with the years indicated by colors.
As I said above, nature simply isn’t that simple, and the South Atlantic is different from the Indian Ocean. In the South Atlantic, as the temperature increases, rainfall decreases. Instead of the wet areas getting wetter and vice-versa, all areas get drier with increasing temperature.
Next, I looked at the South Pacific:
Figure 5. As in Figure 4, for the South Pacific
In the South Pacific, we see yet another pattern. There’s not a whole lot of change in salinity as the temperature varies. How about the North Pacific?
Figure 6. As in Figure 5, for the North Pacific.
Again, the change in salinity is much smaller that in e.g. the Indian Ocean. However, the same thing is true—for every place that is dry that will get drier if it warms, there is another place that is dry that will get wetter if it warms.
Finally, for complexity, nothing matches the North Atlantic.
Figure 7. As in Figure 6, for the North Atlantic.
Once again, we see that there are dry areas that would get wetter, and wet areas that would get drier, with a temperature increase. However, there are a lot of areas in the North Atlantic that seem not to be following any general trend … complex nature strikes again.
Having looked at how the temperature is related to the salinity for large areas, I decided to look at how the salinity and temperature changed with time for smaller areas. I started with the Pacific, and I picked an area where I could look at ten-degree latitudinal bands. Figure 8 shows those bands.
Figure 8. Salinity map as in Figure 1. Yellow boxes show the delineation of the areas analyzed.
First I looked at the Northern Hemisphere in the Pacific.
Figure 9. North Pacific salinities by ten-degree bands. Colors indicate from coldest to warmest for each individual band. Purple dotted line shows the average for the entire North Pacific region. Black line shows a 200-point gaussian average of the salinity. “Sal. Chg.” is the salinity change (expressed as a change per 50 years for comparison with the D2012 study, along with the “p-value” for the trend rounded to three digits. “Temp. Chg.” is the temperature change (expressed as a change per 50 years for comparison with the D2012 study, along with the “p-value” for the trend rounded to three digits. “Sal. Anom.” is the salinity anomaly expressed in relation to the area salinity average (purple dashed line). “PA” is the “pattern amplification” discussed in the paper, which is the salinity change divided by the salinity anomaly. Note that some of the changes are not statistically significant (p greater than 0.05).
The claim made in the paper is that when the salinity is high (positive salinity anomaly), the salinity change should be positive with increasing temperature (dry gets drier), as well as the reverse—when salinitiy is low, the salinity change should be negative with increasing temperature (wet gets wetter).
However, in four of the six areas shown above, this is not the case. Nature is simply not that simple.
Next, Figure 10 shows the corresponding chart for the South Pacific:
Figure 10. As in Figure 9, for the South Pacific.
Once again, nature is not cooperating. First, in many areas there is little change in salinity. From 50°S to 40°S, the annual swing in temperatures is 14°C, but there is almost no annual change in salinity. In addition, the overall change is in the wrong direction. For another example, look at the band from 20°S to 10°S. Salinity is above the area average, but despite that, salinity is higher during the cool part of the year. In addition, temperature dropped, but contrary to predictions, the previously high salinity increased …
I append the corresponding charts for the Atlantic Ocean, which show much the same thing as we see in the Pacific—a confusing mix of responses.
My conclusions? Well, my main conclusion is that there is no general “wet get wetter and dry get drier” changes. For every dry area that is getting wetter with increasing temperature, there is another area which is just as dry that is getting drier with increasing temperature.
My second conclusion is that different parts of the ocean react very differently to increasing temperature. In some areas, neither annual nor decadal changes in temperature make much difference to the salinity. In others they are positively correlated, and in yet others, they are negatively correlated.
Does this make the D2012 paper incorrect? I don’t know, because they didn’t archive the data that they used for the 50 year period 1950-2000. It does, however, indicate that as is usual with the climate, generalizations are hard to draw. Humans always want things reduced to simple relationships like “if temperature goes up, wet areas get wetter and dry areas get drier.” Like Aesop, we prefer simple morals for our fables. Unfortunately, nature is nowhere near that simple.
My best to all,
w.
PS—I have not commented on the use of a combination of traditional salinity measurements and Argo float measurements, and I do not find any comments by the authors of D2012 regarding the topic. However, it would seem that it should be discussed and the two measurements compared where they overlap in time and space.
APPENDIX 1: Salinity charts by latitude band for the Atlantic Ocean. See the captions for Figures 8 and 9 for details.
Appendix 2. Data and code (in the computer language “R”) are here as a zipped archive (WARNING: 32 Mb archive). Data is in an R “save” file called “argo temps.tab”. WARNING 2: The code is not “user-friendly” in any sense, and might best be termed “user-aggressive”. It is NOT designed to be run as a single piece.
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Neat stuff as usual, Willis. I had read that piece in Science and confidently predicted that you would debunk it, but it’s always amazing how fast you operate.
Some of the p-values in Figs 9 & 10 are given as “p=0” –can you fix?
Willis wrote: “Humans always want things reduced to simple relationships like “if temperature goes up, wet areas get wetter and dry areas get drier.””
Well-said.
Varying aggregation criteria easily introduces statistical paradox, so to learn terrestrial climate fundamentals, we need to pay special attention to variables that are globally constrained.
The education system badly needs a compulsory course for all students: Paradox 101. Generations later, humanity might look a whole lot less goofy than climate & solar scientists do today.
Precipitable Water:
http://i52.tinypic.com/9r3pt2.png
Monthly Maximum of Daily Precipitation:
http://i41.tinypic.com/34gasr7.png
Evaporation Minus Precipitation:
http://i43.tinypic.com/2isvynb.png
Column-integrated Water Vapor Flux with their Convergence:
http://i51.tinypic.com/126fc77.png
Credit: Climatology animations have been assembled using JRA-25 Atlas [ http://ds.data.jma.go.jp/gmd/jra/atlas/eng/atlas-tope.htm ] images. JRA-25 long-term reanalysis is a collaboration of Japan Meteorological Agency (JMA) & Central Research Institute of Electric Power Industry (CRIEPI).
http://i49.tinypic.com/fp1edv.png
http://i49.tinypic.com/219q848.png
“User-aggressive” would also seem to be an apt description of nature as well…
Yes. Indeed seawater gets rid of Triffids too you know. Less sure about what it does to so called climatologists though: where many seem to inhabit a science fiction world of their own where they are invincible. In their dreams anyway.
Kindest Regards
If they cover the 1950 to 2000 time frame, how do they handle the cooling from 1950 to 1978, representing the majority of this time frame? Or do they use somebody’s “adjusted” data that disappears this cooling phase? Do they report “intensification” throughout this period or did it decrease with cooling?
Done with your usual thorough analytic thought, Willis. I appreciate your contributions and thank you for them. It would appear from this analysis that we are faced with another poorly done paper in the name of science. I am disappointed with the dismal performances of much in science today.
Thanks for pointing out an interesting paper, and thanks for interesting play with numbers and dots, but I don’t really see how they connect to each other.
First thing that I can see on the paper is, it’s yet another paper saying that models got it wrong.
Second thing is, it is known fact that in historical times when the temperature was higher than today, water cycle was more intense as well. Among others, some 6000 years ago Sahara was much greener than today.
And third thing is, the approach “that’s nice what you found there but when I analyse the data my way I see nothing” does not prove anything. Looking at your graphs I’d even say that they support conclusions of the paper, but more detailed analysis would need to be done.
Thank you Willis for yet another very readable and informative post and a further example of why the debate is not over.
It keeps me amazed how people try to simplify the climate’s behaviour to match their pre-perceived targets.
Over simplification is good for explaining processes, but not for explaining vast and complex systems (as oceans and climate).
The equation warmer=drier is, on its face, a simpilfied and childish claim.
We know that colder could be dryer too…
Great, Willis. Now why don’t you address what they actually did?
Lead author Paul Durack said that by looking at observed ocean salinity changes and the relationship between salinity, rainfall and evaporation in climate models, they determined the water cycle has become 4 percent stronger from 1950-2000. This is twice the response projected by current generation global climate models.
Your analysis above doesn’t say anything about evaporation.
Obviously none of the reviewers spent any time on any such critical analysis. Presumably they were too eager to affrim the predictibly bad news. When I read my snail-mail issue I was struck by the AGW-catechism tone of the very opening
“Fundamental thermodynamics and climate models suggest”
First of all, fundamental thermodynamics does NOT ‘suggest’, it enforces.
Second, tinker-toy models with harumphy official names are not in any way to be given equivalent judgemental weight to ‘fundamental thermodynamics’.
Third, the only suggestion in this entire paper is by your assumption of ‘fixed relative humidity’. Did you ever think to check any data to see if you assumed correctly? Hint: you didn’t. Did you ponder where all that extra heat is supposed to come from?
Also,, can we drop the ‘Reveal’ in the title? How about using the same word we use in deference to ACLU sensibilities: Ocean Salinities ALLEGE Strong Global Water-Cycle Intensification…
Wow! Not just any old ‘intensification’, but a “STRONG’ intensification, one that they ‘FOUND’ (paragraph 2) in 21st century climate projections. I wonder how hard they had to search for that? Hmmmmm.
They conclude with alleging that in ‘the 2-3 C warmer world’ of 2100, their ‘results’ imply a ’16-24% amplification’. This is twice as bad as what the best Gee-Whiz model had already ‘predicted’
So we’re just plain screwed, folks (but, conveniently, not right away).
I used to read Science & Nature for a weekly knowledge infusion, but now I get the bonus of laughing at their mawkish AGW pseudo-science, then waiting for WUWT to skewer it fully. History before my very eyes!
Oakden Wolf (May 12, 2012 at 9:39 pm) wrote:
“[…] the water cycle has become 4 percent stronger from 1950-2000.”
http://i49.tinypic.com/219q848.png
and if the rain falls back into the sea from whence it came – all the assumptions are invalid.
I enjoyed reading it. Just a comment: “One thing that we can see in Figure 1 is that where there is plenty of rain, along the equator and near the poles” – ice melt around the poles comes into play?
Lance Wallace says:
May 12, 2012 at 8:41 pm
Actually, I’ve rounded the p-values to three digits, so the “0” is correct. Beyond that, the numbers become meaningless.
All the best,
w.
PS—I greatly dislike the term “debunk”, as it implies that the study is bunk. In addition, in this case I haven’t looked at what they looked at, because I don’t have the data. So I definitely am not making any claims that I have debunked anything.
Kasuha says:
May 12, 2012 at 9:27 pm
Thanks, Kasuha. They connect because I am discussing their idea that increasing temperature means that “dry regions will become drier and wet regions will become wetter”. I think I have shown that it is much more complex than that.
Indeed they said that, but I have no faith in the models, so it’s not surprising to me that the models got it wrong, and not particularly worth comment … so I didn’t.
I’d have to see a citation for that. Describing anything that happened 6,000 years ago as a “known fact” seems like it is a bridge too far. Yes, we know that the Sahara was wetter back then … but whether the “water cycle was more intense” back then is pure speculation.
Since nothing can ever be proven in science, I don’t understand your point. I am not trying to prove anything. I’m trying to show that nature is complex, and that simple conclusions may not be warranted. In addition, if the result of one analysis differs from another analysis, that is valuable information.
You’re welcome to say that, but unless you actually point out some errors in my logic, my facts, or my interpretations, it doesn’t mean much.
The problem I see is that some of the results that I highlight support their theory (in some places the wet is getting wetter and the dry is getting dryer with increasing temperature), in other locations the temperature is rising but the opposite is happening.
Which is my point—nature simply isn’t as simple as they make it out to be.
All the best,
w.
heh-
“Since nothing can ever be proven in science”
prove that one!
Oakden Wolf says:
May 12, 2012 at 9:39 pm
Thanks, Ogden. The reason I don’t address what they actually did is because as far as I know they didn’t archive the data they actually used. If you can provide that, I’ll take a look at it. Instead, I used their study as the departure point for investigating their general claim, which was that “dry regions will become drier and wet regions will become wetter in response to warming”.
Meaningless to me. The models are known to perform no better than chance regarding precipitation, and this study simply confirms that. Why should I care? Instead of looking at the models, I looked at the real world, and I learned a lot along the way. That’s why I do science, not to establish a claim, but for the joy of learning. I learned a whole lot about salinity and the ocean that I didn’t know.
In the process, I think I have made a reasonable case that the Argo data doesn’t support the ‘wet gets wetter and the dry gets dryer’ meme. But heck, if you can find fault with the case I made, go for it … just don’t waste your time busting me for not discussing the models.
True dat … and the reason is because neither I nor the authors have much data on evaporation. The authors fill that gap with models. Me, that’s not my style. Instead, I follow the lead of Robert Heinlein, who said:
So that’s what I do. Every graph above is observations about the real world, in other words, facts. I just follow them and see where they lead. Your conclusions from those facts may be different than mine, that’s science. I just play the facts cards face up and draw what seem to me to be the conclusions.
Regards to you,
w.
DavidA says:
May 12, 2012 at 10:04 pm
Indeed it does, you can see it in the areas of very low salinity at the very left edge of the temperature/salinity plots.
w.
Willis, it almost looks as if the graphs of the oceans need a 3rd dimension. Have you looked at that possibility?
Ah, the map is strikingly different from the territory, it seems!
Has any consideration been given to how ocean currents contribute to the time evolution of salinity at any particular place as I’m sure ocean currents also contribute to evaporation and moving salty water? I assume salinity arose from salt deposits close to the seabed that are now exhausted (zero sum game) or is salinity subject to sources and sinks in any sort of way? Without consideration of these points I can’t see how conclusions can be drawn from the data or how the original predictions could be sensibly made.
“dry regions will become drier and wet regions will become wetter in response to warming”
Sounds cute, but you don’t even need graphs to sense that this doesnt necessarily work. A region which is dry because it is next to an adjacent cold area, will tend to get wetter if the adjacent cold area heats up, because the cold area is no longer as cold. So a warmer world, for these areas, will tend to make these dry areas wetter.
An example is the Sahara, it is well known to be wetter when the world was warmer in the Holocene, probably for the same sort of reasons as above; when adjacent Europe/Atlantic is colder, the Sahara is drier. The Amazon is also drier when colder, as in the Ice Ages.
Another example is the continental west coasts, which are dry because of the cold currents next to them, when this cold water heats up, they tend to get wetter-which is happening in the NW of Australia (but not in the SW of Australia, curiously).
Thank you Willis Eschenbach for another beautiful exposition of ARGO data. And the thought provoking article. I also want to thank you for the amazing discussion produced from your Bern Model article. My understanding of the CO2 cycle puzzle was greatly enhanced. Thank you to all the great posters rgbatduke particularly but all. I really learned a lot, completely new conceptualization of the process by the descriptive words of rocket science and for simplicity, diagrams.
Only on WUWT !
Willis
I love your deconstructing work. Is there any way you can set it all on a more complete historical and objective basis, I mean, something like:
Nature etc major climate publications….. xxx
Same publications deconstructed by Willis here …. yyy
Same publications deconstructed by others here …. zzz
Roots of studies in alarmist statements… jjj
Conclusions for Science…… kkkkk
– well, written-up in a way that is a bit more, what is it, nuanced than that! Perhaps even a book. You know I still dispute your conclusions re some of the radically new material that challenges long-accepted physics and maths. But these deconstructions of yours, where standard methods and standard accepted laws of science are used, or rather, as you show, abused, and commonsense and patterned complexity are neglected in favour of shocking conclusions to trivial studies, are IMHO really important.
Willis, re evaporation – you may have seen the paper by Roderick et al in Geograpical Compass 2009 http://biology.anu.edu.au/CMS/FileUploads/file/Farquhar/271RodericketalPanreviewIGeogCompass2009_000.pdf
It shows pan evaporation reducing over the last 50 years contrary to expectations. I think Roderick was side lined at ANU as a result.