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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Willis Eschenbach says:
May 12, 2012 at 11:43 pm
DavidA says:
May 12, 2012 at 10:04 pm
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?
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.
My initial reaction to your salinity plots was of considerations of evaporation, rather than addition of freshwater through rainfall (or lack of it). Most of the plots are quite tight at low temperatures, consistent with comparative low surface evaporation rates relative to higher temperatures. Comparing surface salinity with absolute and relative humidity data make be interesting (and I have no doubt it’s been down – I’m long out of the literature).
“…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,…”
Others have mentioned the melting of ice seasonally, rain on the sea and the thermohaline circ. let us add freshwater return flow to the sea froml the land to confound the simple evap-temp relationship. I do note that the salinity appears to peak roughly around 25C or so in all the graphs. Couldn’t be another (unknown) “governor effect” could it? Also, every time these fellows try to predict a calamity with warming, they unwittingly find a negative feedback: the hotter sea results in evaporative cooling and cloud-rainfall cooling in their “wet region”, plus cooler water return flow to the sea. Remember the other paper about the melting ice cooling the N Atlantic Gulf Stream and causing things to get cold in Europe? – another negative feedback. Having had most of their palette of disasters fall apart, they have sought to repair them with “new” effects and theyd all have negative feedbacks.
kMc2 says:
May 13, 2012 at 4:31 am
Well spotted, it is a quote of hers.
w.
Mark Cooper says:
May 13, 2012 at 4:32 am
Thanks, Mark. Since the graphs show a very clear and distinct pattern connecting temperature and salinity in all the world’s oceans, you’ll have to explain why investigating that pattern is “ridiculous”. It would be ridiculous to investigate it if there were no pattern. But since there is a very obvious pattern which relates the two, it would be ridiculous not to investigate it and try to understand it it.
w.
Chuckarama says:
May 13, 2012 at 5:56 am
Chuckarama, see the WarmList …
w.
Paul Murphy says:
May 13, 2012 at 6:21 am
Good point, Paul. In this case, the salinity data I’m using is corrected for temperature and pressure.
w.
Mickey Reno says:
May 13, 2012 at 6:43 am
Thanks, Mickey. I’ve been beating that particular drum for years. Computer output is not evidence of anything but the beliefs, ideas, and misconceptions of the computer programmers …
w.
George Steiner says:
May 13, 2012 at 8:13 am
Good question, George. The “water cycle” is the name given to the complete cycle of evaporation-condensation-precipitation that the water undergoes in shuttling between the earth’s surface and the atmosphere.
w.
Kasuha – May 12, 2012 at 9:27 pm
Willis Eschenbach – May 12, 2012 at 10:47 pm
——–
Silver Ralph – May 13, 2012 at 4:26 am has it best but not quite. According to the investigations I saw on ancient Sahara it was a change in the Earth’s tilt and/or precession position relative to it’s orbital point. Ground penetrating radar has found all sorts of river courses and ancient lakes from about 6,000 to 12,000 years ago. I don’t have the references handy but I suspect a little bit of Google and some archive searching on NatGeo will turn up the information.
Billy Liar says:
May 13, 2012 at 8:44 am
Thanks for the compliment, Billy. I’m of the opinion that if you can’t see a given effect in a graph, it is a third order effect. And because I am a graphically oriented person, and have made good money with my art work, I constantly strive to present scientific data in a way which is both informative and lovely.
All the best,
w.
Billy Liar says:
May 13, 2012 at 8:52 am
One might also be tempted to conclude that for the N Atlantic the cloud of points at high salinity might come from the Sargasso Sea (the N Atlantic gyre).
The areas of high salinity are strikingly neatly delineated. Do they match any ocean features? If so, why?
JF
Kasuha says:
May 12, 2012 at 9:27 pm
…”Looking at your graphs I’d even say that they support conclusions of the paper, but more detailed analysis would need to be done.”
The above graphs in no way support the paper; quite the contrary.
Should have gone to Specsavers!
Willis Eschenbach says:
May 13, 2012 at 9:47 am
Mark Cooper says:
May 13, 2012 at 4:32 am
… Deep water upwelling to the surface is a very common phenomenon and surface temperatures can be much lower than the “normal” ambient surface temperature. Also, deep water tends to be much more saline than surface water, so typically if you have a relatively low surface temperature you will have a correspondingly high salinity. Simply correlating surface temperature to surface salinity is ridiculous.
Thanks, Mark. Since the graphs show a very clear and distinct pattern connecting temperature and salinity in all the world’s oceans, you’ll have to explain why investigating that pattern is “ridiculous”. It would be ridiculous to investigate it if there were no pattern. But since there is a very obvious pattern which relates the two, it would be ridiculous not to investigate it and try to understand it it.
w.
Willis, Because it is common knowledge amongst oceanographers that the link between surface salinity/ temperature anomaly is (almost) entirely due to upwelling/sinking and has (almost) nothing to do with precipitation in the open oceans/seas. it’s oceanography 101… hence use of word ‘ridiculous’
For example, the Barents sea has almost zero precipitation- the air is as dry as the sahara, it sucks moisture out of the sea water causing salinity to increase to 37+ SPU – but surface water has SPU of 34/35 because the denser 36+spu has already sunk below the surface…
As you point out, the system is far more complex than a simple relationship between rainfall and surface salinity.
Willis, I notice the data points that showed changes that would be caused by freezing temperatures. Are any of these deep in the ocean in mid latitudes? How deep do the Argo
floats dive?
Another pleasurable read. Thanks.
Willis Eschenbach says:
May 12, 2012 at 11:39 ……………………
“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.”
——————–
Well said w. It’d be better if more ‘scientists’ would play their fact cards face up. Everybody gains.
By looking here (you might need to click over to the Feb 2010 listings):
http://www.worldclimatereport.com/index.php/2010/ 02/24/update-on-global-drought-patterns-ipcc-take-note/
and using this paper:
Sheffield, J., K.M. Andreadis, E.F. Wood, and D.P. Lettenmaier. 2009. Global and Continental Drought in the Second Half of the Twentieth Century: Severity–Area–Duration Analysis and Temporal Variability of Large-Scale Events. Journal of Climate, 22, 1962-1981
you’ll see a group of scientists looking into the theory that with warming, you should see a pattern of increased drought.
Naturally, with several drought indexes to choose from, they had to come up with a way to see GLOBAL coverage.
They picked this:
“…Soil moisture is a useful indicator of drought because it provides an aggregate estimate of available water from the balance of precipitation, evaporation, and runoff fluxes…”
So, they used a popular hydrologic simulation model to estimate soil moisture levels at the 1º latitude by 1º longitude resolution for land areas of the globe for the period 1950 to 2000.
What they found was simply amazing.
Sheffield et al. note with respect to global and continental droughts” “…The longest duration drought was 49 months (4 yr) in Asia from 1984 to 1988, closely followed by the 1950–53 North American drought (44 months)…”
Now, here’s where the counters jump in. They’ll find a drought index somewhere that negates the findings, or they’ll claim cherry-picking (only used the period from 1950 to 2000) and missed the dust bowl era and the recent Texas and Mexico droughts.
Still, they managed to find a drought back in 84-88, when the CO2 levels ranged from 344.24 – 351.47. You’ll see that we crossed the deadly upper limit of CO2 (350ppm) during this time.
http://data.giss.nasa.gov/modelforce/ghgases/Fig1A.ext.txt
“…The most spatially extensive was the African drought of the early 1980s, which reached its peak extent in April 1983 when it covered over 11 million square kilometers…”
Again, this extreme drought occurred when the CO2 was BELOW the magic 350ppm level (342.53).
The telling parts of their research, their time series plot for the globe and for various continents shows no upward trend whatsoever.
Using their data, “…The mean number of global droughts > 500,000 km2 occurring in any month is about 4.5 (or 55 yr-1) with a standard deviation of 1.6. This time series is quite variable and indicates several periods of increased global drought activity: the mid-1950s, 1960s, late 1980s to early 1990s, and late 1990s. The mid-1970s to mid-1980s are characterized by the lowest number of droughts, apart from a short burst of activity around 1976–77. The year with most drought months is 1992..”.
In other words, Sheffield et al. analyzed drought patterns at the global scale for the period 1950 to 2000, and found no evidence to support claims of increasing drought activity.
So this paper (D2012) “proves” that “dry regions will become drier and wet regions will become wetter in response to warming”, then Sceffield et.al. proves the opposite.
W: Just curious: have you not yet found even ONE scholarly pro-AGW scientific article that you cannot take apart in 3-4 pages?
Retired Engineer John says:
May 13, 2012 at 5:00 pm
Sorry for my lack of clarity, Engineer. All of my data is from the surface. Most of the Argo floats dive to about 1,000 metres, with the remainder going deeper, to almost 2,000 metres.
w.
According to Unisys the oceans are not looking very warm just now (even with their biassed color system with no neutral colour), especially the North Pacific.
“Durack” is Russian for idiot.
FIVE years ago, Climate Commissioner Tim Flannery predicted that the nation’s dams would never be full again and major Australian cities would need desalination plants to cater for our water needs.
Yesterday, in his latest report, he said “climate change cannot be ruled out” as a factor in recent flooding rains, which led to some of those dams overflowing.
As Willis notes, the climate is complicated.
We cant blame the desalination plants for altering the salinity, as far as I am aware they have never been turned on. Perhaps next they should build a salination plant, just to be on the safe side. Its easy spending other peoples money!
Dear Mr. Eschenbach
First of all I’d like to say I highly appreciate that you find my posts worth discussing. Now if you let me I’d like to elaborate a bit on what I posted above.
Regarding Roman warm period, green sahara and changes in (among others) water cycle connected to it, I believe I have last met them mentioned in one of last year’s Heartland Climate Conference videos. Now while I agree with you that calling something 6000 years old a fact is a bit of overstatement, calling that a speculation is also not quite appropriate. There are better scientists than me and you considering these.
Regarding your article, the main fault in your logic I see is that you are not disproving the discussed paper at all. If you wanted to disprove it, you’d replicate their analysis, find the same or similar result, then explain what’s wrong on such approach to analysing data, fix for that error and show that when the same analysis is performed with the error accounted for, no such result appears. Nothing of that I can see in your article. You perform a completely unrelated analysis and your only conclusion is ‘nature is not simple, I don’t see it there’.
You’re not even trying to identify and distinguish ‘dry’ and ‘wet’ places. You don’t consider that salinity may change with latitude and the same salinity might indicate dry place at one and wet place at another latitude. You’re not evaluating correlations between temperature and salinity in different places. And you’re not considering how much of statistical significance there is. You just put everything into one huge blender and spill the result on a graph.
The resulting graphs are interesting, I admit. But they do not have anything to do with the paper.
Kasuha says:
May 16, 2012 at 3:58 am
Thank you, Kasuha.
The problem is that you mixed up what we do know (the Sahara was indeed green in the past) with what we don’t know (the water cycle was more intense). In addition, you did not give any citation to the work of the “better scientists” you say studied it … but despite that lack of anything to back it up you call it a “known fact”. If there is indeed work from the “better scientists” showing that the water cycle was more intense, then you need to show it.
The link to their paper, as I discussed above, is that they claim that the wet areas will get wetter and the dry areas will get dryer. In Figure 3, I show that for any given wetness or dryness, there are areas that will get wetter, and areas that will get dryer.
In other words, I have falsified one of the main tenets of their paper, the claim that “dry regions will become drier and wet regions will become wetter in response to warming”. As a result, I’m unclear why you say I am not falsifying the paper.
You say I “don’t consider that salinity may change with latitude and the same salinity might indicate dry place at one and wet place at another latitude”, but I’m not the one making the claim that salinity is a proxy for rainfall. It is their claim, and not mine, that the salinity can be used as a proxy for the E-P balance. I am merely showing what happens when you follow their logic.
Look, Kasuha, as I said to someone above, I have shown what I can show with the data I have, because they have not archived their data as used. If you can come up with their data, I’m happy to look at it. Until then, what I can show and have shown is that their underlying claim is incorrect. And whether you like it or not, that is indeed discussing and falsifying their paper.
w.