Guest Post by Willis Eschenbach
In a post here on WUWT, Nils-Axel Morner has discussed the sea level in Kwajalein, an atoll in the Marshall Islands. Sea levels in Kwajalein have been rising at an increased rate over the last 20 years. Nils-Axel pointed to a nearby Majuro tidal record extending to 2010, noting that there’s been no acceleration there. A furor seems to have erupted in the warmosphere over his comments, with folks like Tamino pointing out that we have tidal data for Majuro up until 2013, not just 2010 as Nils-Axel highlighted, and those final three years show higher rates of sea-level rise, so indeed there is acceleration there …
Bemused by the excess of heat over light, and dismayed by the battle over twenty-year sea-level trends, as a long time sailor and commercial fisherman with more than a bit of knowledge about tides, let me say that they’re all wrong, warmists and skeptics alike. Here’s the critical graph for any discussion of sea-level rise and fall:
Figure 1. Confidence intervals for the estimation of sea-level rise using tidal gauge data. This means that 95% of the results fall between the two extremes. For twenty year trends, these are from a sea-level rise of three mm/year to a sea-level fall of three mm per year. See endnotes for the corresponding equation. SOURCE: Pacific Country Report, Sea Level & Climate: Their Present State Marshall Islands December 2010
The interpretation of Figure 1 is as follows. Let’s consider twenty-year trends in sea level rise. The uncertainty is 2.8 mm per year … which is about equal to the global average sea-level rise itself.
Now, twenty-year trends are convenient because trends of that length are under discussion by Morner and the rest. It’s also convenient because we have twenty years of satellite records, as well as twenty years of SEAFRAME records in Majuro. The uncertainty in Figure 1 says that IF there were absolutely no change in global sea levels over time, about one tide gauge out of every six would show the sea levels as rising between 1.5 and just under 3 mm per year over twenty years. Another one in six tide gauges would solemnly assure us that the sea level is falling between 1.5 and 3 mm per year over the same twenty years.
SO … if you see a couple of twenty-year trends from two tide gauges that differ by say four mm per year, that is an EXPECTED RESULT of the short length of the data. Let me explain why the uncertainty is so large, and then we’ll look at the Marshall Islands sea level data. The problem is the tides. The ocean tides are a driven resonant system. By “resonant” I mean that ocean water “sloshes” back and forth in the ocean basins, just like the water in a wide basin after you set it down. Each ocean basin has natural resonant periods. The driving forces are the gravity of the sun and the moon. They vary in a hugely complex cyclical motion, which sort of repeats only after over fifty years. The basins have long- and short-period “standing waves” on the surface, or rather waves circulating around a wandering “amphidromic point” where there is no tide. There is no known way to predict what the combination of driving force, natural sloshing, and standing waves will look like at any given point for a given ocean basin. As a result, you have to wait for at least 50 years to get an accurate reading of the rate of sea-level rise. With shorter records, the uncertainty rises rapidly, and with 20-year records, the 95% CI is ± 3 mm per year.
With that as a preface, let’s take a closer look at the sea level rise in the area. First, where are these mysterious “Marshall Islands”, and how many tide gauges in the Marshall Islands have records up to the present?
Figure 2 shows the location of the three tide gauge records in the Marshall Islands that extend up to the present. They are at Wake Island, Kwajalein, and Majuro. The Majuro tide gauge is part of the “SEAFRAME” sea-level measurement project.
Figure 2. Location of Majuro (the capital), Kwajalein, and Wake Island in the Marshall Islands. Australia is at the lower left. Papua New Guinea is the large turkey-shaped island at center-left. The islands in the chain to the right of Papua New Guinea are the Solomon Islands
Now, what do we know about the sea levels at those points? Here are the three records. I’ve spliced together the recent and the previous record at Majuro (Majuro B and Majuro C), as they are nearly identical in their overlap periods. Here are the three records.
Figure 3. All available tidal records which extend to the present, Marshall Islands. Heavy lines show 6-year centered Gaussian averages of the data.
You can see the post-2010 uptick at the end of the Majuro record (red) that Tamino referred to. Now, the whole hoorah has been about the trend of the last 20 years in Kwajalein. The records for Kwajalein and Majuro differ by about 4 mm per year … remember what I said about 4 mm per year above? Not meaningful.
Now, we do have one other source of information about the sea level rise in the Marshall Islands. This is the satellite record. At the time of writing, you could find the satellite sea-level record for any spot on the ocean at the University of Colorado “Interactive Sea Level Time Series Wizard” (it currently says “Under Revision”). Figure 4 shows those results. I’ve left out the annual results this time, and just shown the Gaussian averages, so we can get a sense of the difference between the tide gauge records and the satellite records.
Figure 4. Gaussian averages of the three tidal gauge records shown in Figure 3. In addition, the satellite records for the same location are shown, aligned to the average of the first five years of the common period of record.
I show the data from 1970 so we can compare recent records (last twenty years, back to the early 1990s) and early records (previous 20 years, early 1970s to early 1990s. Now, there are a few oddities here. First, although the satellite records generally “wiggle-match” the tide gauge records, the agreement isn’t all that great.
Next, of the three dataset pairs (satellite and tide gauge), two of the pairs (Wake Island and Majuro) end up together after 20 years. At Kwajalein, on the other hand, the tide gauge record ends up about 50 mm above the satellite record … the cause of this divergence is unknown. It appears to start in 2003, and it may be something as simple as the dock where the tide gauge is located slowly sinking into the sand … or not.
The most internally consistent data that we have, the satellite records, show little difference between the rise in Majuro and Kwajalein over the last 20 years. One is 6.4 mm, one is 7.4 mm … be still, my beating heart.
So Nils-Axel and Tamino are both wrong. We can’t conclude anything either way by comparing Majuro and Kwajalein. Their records are far too short and too similar.
Finally, how unusual are these three satellite-measured trends at Wake, Kwajalein, and Majuro, of 2.1, 6.4, and 7.4 mm respectively? Well, to answer that, I took the approximately half a million areas of the ocean for which the satellite has measured the trends from the University of Colorad, and made a histogram …
Figure 5. Histogram of the sea level trends for each 0.25° square gridcell of ocean area from 89.5 North to 89.5 South.
Now, the trends shown in Figure 5 are 20-year trends. Recall from Figure 1 that the 95% confidence interval on tide gauge records was estimated at just under ± 3 mm. The 95% confidence interval on these satellite measured trends in Figure 5 is somewhat larger, at ± 5 mm per year. Note also that about 12% of the gridcells show a decrease in the sea level, and thus they have a negative trend.
Finally, you need to be aware that the trend that is shown by the tidal gauge data is NOT the rate of sea-level rise, for a couple of reasons. First, what you are seeing is the rate of global sea-level rise PLUS the tidal effect from the sun, the moon, and the shape and resonant frequency of the basin. The means used for removing those tidal effects is beyond the scope of this discussion (see Mitchell for details under “Asymptotic Trend Evaluation”). However, generally what has to be done is the 112 different major solar/lunar tidal components are estimated from a tidal record to date at a specific location. Then the “best guess” estimate of the combined tidal effect is subtracted from the observed change in sea level. What remains is the best estimate of the actual change in the underlying sea level, but it still needs to be corrected for the land uplift/subsidence.
So for example, the measured change in the sea level at the Majuro B (SEAFRAME) tide gauge was +5.6 mm/year 1993-2010. But after subtracting the tidal effects, it drops to 4.3 mm/year. And after removing land subsidence effects, the actual trend was estimated by the SEAFRAME folks at 3.8 mm/year.
To complete the circle, here are the Majuro and Kwajalein tide gauge and satellite records, aligned on their 1995-2000 averages.
Figure 5. As in Figure 4, but with the Majuro records adjusted upwards by 59 mm so that they are all aligned on the average of their 19/95-2000 period.
SUMMARY: TIDE GAUGE AND SATELLITE DATA, MAJURO AND KWAJALEIN
• The early (1973-1993) and late (1993-2013) trends in Majuro were about the same.
• In Kwajalein, the early trend was about flat, and the later trend was quite steep.
• Given the close physical proximity of the two atolls, and the similarity of the two satellite records, one or the other of the tidal records may contain an error.
• After about 2003, the Kwajalein record wiggle-matches with the two satellite records. The Majuro record does not. On the other hand, after diverging from the two satellite records in 2003, the Majuro record ends up agreeing with them, while the Kwajalein record ends up ~ 50 mm higher than the other three. Go figure.
° The post-1993 Majuro tide gauge “B” is a modern design acoustic SEAFRAME gauge, and is presumably quite accurate.
• There is absolutely no statistical significance in the ~4 mm difference between the 20-year tide gauge trends for Majuro and Kwajalein. And the satellite trends, as you can see above, are nearly identical.
• In short, there is no evidence for or against an acceleration in sea-level rise in the three Marshall Islands records.
Best to all,
w.
DATA AND CODE: Spreadsheet is here … enjoy
UNCERTAINTY EQUATION—The empirical equation relating years of record (YR) and uncertainty (one standard deviation) is:
Uncertainty (mm/yr) = 0.102 * EXP( -4.939 * EXP( -0.02 * YR ) )
This says that with a fifty-year record we still have an uncertainty of plus or minus two-thirds of a millimetre per year, or 63 mm (2.5 inches) per century.

Roger Andrews says:
August 3, 2013 at 6:49 pm
…..The error of an estimate typically decreases as the inverse square of the number of data points, so when we average 18 records together we should get a number which is considerably less…..
>>>>>>>>>>>>>>>>>>>>
Noep can’t do that. You would get your hand smack in industry if you tried that.
That rule only applies to repeated measurement of the same thing. That is why the the error on temperature measurements is so much larger than admitted. It is ONE (1) reading at ONE (1) specific location at ONE (1) specific time. Same logic applies.
arthur4563 says:
August 2, 2013 at 8:14 am
….The ocean isn’t going to just rise at certain spots.
>>>>>>>>>>>>>
Actually it will and that is the problem.
Bob Tisdale mentions winds link depending on the strength of the trade winds, one side of the Pacific ocean can be as much as three feet (~ 1 meter) higher than the other side.
E.M. Smith goes into the complicated motion of the moon and its effect.
About That Lunar Cycle
Lots more interesting info in that essay.
Why Weather has a 60 year Lunar beat
In the Bay of Fundy the difference in water level between high tide and low tide can be as much as 48 feet (14 meters). link
barry says:
August 3, 2013 at 7:57 am
johnmarshall,
“There is no empirical evidence for the GHE it is just s construct to overcome a poorly understood model.”
barry says
“Never mind AGW – you are saying that the greenhouse effect is bogus? That if you removed all greenhouse gases from the atmosphere (including water vapor), global temps would not change?”
————
Barry, lets pick that bone clean shall we? There is a lack of clarity in either your thinking or your language.
A green house obtains it’s efficacy not from it’s constituent gasses and their radiative properties, but from the mechanical boundary imposed by the glazing membrane that stops convective and reduces conductive heat loss. Radiative heat loss is minimal, even negligible, by comparison. I look to professionals for clues here. A friend of mine is a commercial greenhouse operator. He covers his frames with 2 layers of clear plastic film. He inflates the roof with positive pressure using blowers (using regular atmospheric air), creating several inches of dead air space. This stops convection and reduces conduction. He doesn’t worry about radiative loss, it is minimal. He certainly doesn’t add CO2 to retain heat. He adds CO2 because the plants consume it as a nutrient.
Applying this model to the atmosphere the corresponding boundary layer is the tropopause below which convection dominates heat transport. Above the tropopause convection ceases, conduction decreases and radiative loss dominates. That is also above 80% of the atmosphere. The gas that dominates the convection (and advection) cycle in the troposphere is H2O due to the dynamics of phase change, absorbing energy down low during evaporation and releasing energy up high during condensation.
I am not a physicist. I would love for some one to explain how a change in constituent gasses will effect the tropopause, because that is where the “greenhouse effect” is found. The way I see it, if the tropopause rises to a higher equilibrium altitude, the effective diameter will increase, radiative surface area will increase, and net radiation will increase. Negative feedback. If the temperature at the tropopause increases, black body radiation loss will increase even faster than temperature. Negative feedback again.
As for CO2, the way I see it, MORE CO2=MORE SUGAR (or cellulose poly saccharides). That is proven by experiment.
barry
The GHG’s in the atmosphere help to remove the excess heat supplied by the sun. Remove them and global temperatures would increase not decrease.
Calling something by a wrong name does not make it work. The atmosphere does not act like a greenhouse. It does not limit convection as a greenhouse does. GHG’s react with IR energy which helps remove heat from the surface. Water vapour has the added ;property of latent heat which removes even more heat.
The GHE cannot work. It is a construct to get round the flat earth model of K&T in AR4 of the IPCC report. If your model is not based on reality your thinking goes the same way– away from reality. We do not need a GHE to get the average temperatures measured on the surface. Reality supplies more than enough from the sun.
@ur momisugly Gail Combs (August 3, 2013 at 9:08 pm)
Roger’s a bright guy. I recommend welcoming him here. He’s well aware of spatial autocorrelation because, like Bob Tisdale, he looks carefully at patterns in the data. I don’t doubt for a second that he knows how to take the uncertainty estimate to second order. Best Regards.
Paul Vaughan,
“Roger’s a bright guy. I recommend welcoming him here. He’s well aware of spatial autocorrelation because, like Bob Tisdale, he looks carefully at patterns in the data. I don’t doubt for a second that he knows how to take the uncertainty estimate to second order. Best Regards.”
Undoubtedly Roger is a bright guy. Unfortunately, like many in the Climate Community, he is not bright enough to separate his agenda or bias from his technical expertise.
One last post on tides….Tide gauges are placed almost exclusively in harbors, they are susceptible to weather events and if your in an area where there is a constant wind from a particular direction it can have a long term significant effect on the local tides which has a higher magnitude than what is caused by the sun and moon. Most harbors are undergoing changes, typically they get built up which changes their volume which changes how they react. Tide gauges are great for their purpose but they aren’t very good at determining long term trends.
Paul Vaughan at 6.46 am:
Paul, thank you for that vote of confidence. However, I’m not sure you would want to have me take the uncertainty estimate to second order. I would recommend you have a statistician, not a geologist-geophysicist, do that.
On the question of uncertainty I’m guided by my experience in the mining industry, where for the last 20 years I’ve been calculating ore reserves from drillhole assay data, a procedure analogous to calculating temperature series from temperature records (temperature = assay grade, time = depth in the hole etc.) One basic principle of ore reserve calculation is that the more assays you have the closer you get to the true grade of the deposit. A single gold assay in one drillhole, for example, will give you no idea of the true grade, but when you average 50,000 of them in several hundred drillholes you will probably get within 5%, which is remarkable when you consider that the 50,000 tiny gold beads you assayed might weigh a tenth of an ounce in total while the deposit might contain several million ounces.
This basic principle also applies to tide gauge records. The more you have, the closer you get to reality, all other things being equal.
William Astley says:
August 3, 2013 at 3:48 am
The satellite give sea level rise of 3.2 mm/yr is not correct and is due to adjustments. I believe the tidal gauge analysis gives 1.5 to 2.0 mm/yr (no change in rate of increase).
======================
If it will make you feel any better, ERS1&2 (Different satellites than the Topex/Poseidon satellites used by CU) reanalysis is much closer to 2.0mm/yr than Topex/Poseidon. BUT, the ERS folks have very little faith in current ionospheric delay models and thus slap large estimated error bounds on their estimate. Topex/Poseidon uses a different technique (dual frequency radiometry) to estimate ionospheric delay, and it may have a less dubious result.
======================
My take — for what it’s worth.
1. Tidal gauge values are poorly distributed geographically and mostly lack high precision estimates of local tectonic forces. Their great merit is that they cover a long time span. Still, it’s hard to place much faith in them for measuring global sea level change.
2. ERS satellite estimates come lose to tidal gauge estimates, but have large estimated error bounds
3. Topex/Poseidon satellites as interpreted by CU. I just plain don’t trust the analytic skills of the folks at CU. Their inclusion of Glacial Isotacy in their calculations strikes me as being bizarre (AFAICS it is inappropriate), and their estimated error bounds look to me to be optimistic. (If we can’t identify the error, it’s not there). They could be right and I could be a churlish dolt. OTOH, I’m occasionally right about some things.
4. The AR5 draft notwithstanding, I’m not convinced that we have yet managed to get computations of sea level rise from ice melt, storage of precipitation, pumping of previously stored water, thermal expansion of the ocean, etc to add up to anything reasonable.
5. Other alternatives for estimating sea level rise e.g. changes to Earth rotation rate from greater sea volume, simply don’t currently work well enough to be useful
Seems that WUWT is resorting to suppressing “inconvenient comments” so I’ll post my last one again.
Willis hasn’t responded to my question about “tidal components”, so I will. They’re irrelevant to monthly mean sea-levels. His reference to the Mitchell paper is invalid – they don’t discuss “removing those tidal effects”, they include them by trending, and therefore averaging, hourly tidal data, using “asymptotic analysis”. That’s a method of trending part of the record, extending the data range, producing another trend, and so on to the end of the dataset. I use a similar technique using monthly data – it shows how the trend evolves month-by-month to the end of the data. The final value is exactly the same as an overall linear trend – same data, same spreadsheet function. The NTC use it for showing trend evolution for all their SEAFRAME stations.
His “1993-2013” trend for his Majuro reconstruction is incorrect – the satellite plot shows a very close correlation; with a rate of 7.4 against the trend for Majuro (reconstruction) over the same period of 7.3, and not 5.6.
He said in his summary that
• The early (1973-1993) and late (1993-2013) trends in Majuro were about the same.
… but that’s not true either – the trend to end 1993 is 2.76 mm/year.
Roger Andrews says:
August 3, 2013 at 6:49 pm
My thanks to you as well, Roger, and I understand the imperatives of time all too well, Answer when you do.
To continue the legal metaphor, actually it’s more like hearsay, which the jury is not allowed to hear …
That’s just handwaving. You need to actually calculate the error in the pre- and post-1990 records, and see if the bend is just random. In addition, it needs to be adjusted for autocorrelation. Until that is done, no, I don’t have to even think about the situation.
Finally, why would I “consider the possibility”? That’s what statistics are for, to tell us whether it is or isn’t significant. We absolutely cannot just use our eyes for that.
Mmmm … from the way you talk about “correcting’ the tide gauge records, it appears that you didn’t read the Mitchell citation I provided regarding “Asymptotic trend evaluation”. Take a look at that, and let me know if you still have questions.
Ah. I think I see the problem. We’re using the words “sea level” in different ways to mean different things.
In general, the scientists studying sea level rise divide the height of the sea measured at any given instant into two components—an underlying, slowly changing “sea level”, and on top of that, the tidal component of the height.
For example, when the tide is coming in, the measured level of the top of the ocean is increasing. But this is NOT described as an “acceleration of the sea level rise”. Sea level rise is an entirely different thing.
The problem is that separating the tidal signals out from any changes in the underlying “sea level” takes a very long dataset. The reason is that the tidal cycles are long, and they interact in unpredictable ways with the basin shapes.
As a result, what I personally am discussing, and what Tamino and Nils-Axel are discussing, is NOT the tidal component. It is the underlying sea level. And my statement is true. All we may be looking at is tidal action.
Does that “make the acceleration go away”? No, it just highlights the fact that what we are seeing may be tidal only, and there may be no change in the underlying rate of sea level rise at all.
Hope that helps,
w.