By Andy May
This is the first of a three-part series on the IPCC’s discussion of sea level rise in their latest report, AR6 (IPCC, 2021). The report claims that the rate of sea level rise is accelerating. It is fair to ask why they think this, what evidence do they offer?
We find the following in the AR6 Summary for Policymakers:
“Global mean sea level increased by 0.20 [0.15 to 0.25] m between 1901 and 2018. The average rate of sea level rise was 1.3 [0.6 to 2.1] mm yr–1 between 1901 and 1971, increasing to 1.9 [0.8 to 2.9] mm yr–1 between 1971 and 2006, and further increasing to 3.7 [3.2 to 4.2] mm yr–1 between 2006 and 2018 (high confidence). Human influence was very likely the main driver of these increases since at least 1971.” [Bold added]
AR6 Summary for Policymakers, page SPM-6 (IPCC, 2021)
And the following in AR6, Chapter 9:
“Global mean sea level (GMSL) rose faster in the 20th century than in any prior century over the last three millennia (high confidence), with a 0.20 [0.15–0.25] m rise over the period 1901 to 2018 (high confidence). GMSL rise has accelerated since the late 1960s, with an average rate of 2.3 [1.6–3.1] mm yr-1 over the period 1971–2018 increasing to 3.7 [3.2–4.2] mm yr-1 over the period 2006–2018 (high confidence). New observation-based estimates published since SROCC [Special Report on the Ocean and Cryosphere in a Changing Climate, 2019] lead to an assessed sea level rise over the period 1901 to 2018 that is consistent with the sum of individual components. While ocean thermal expansion (38%) and mass loss from glaciers (41%) dominate the total change from 1901 to 2018, ice sheet mass loss has increased and accounts for about 35% of the sea level increase during the period 2006–2018 (high confidence).”
On page 9-8 (Chapter 9, page 8) of the AR6 report:
And, farther in Chapter 9:
“At the basin scale, sea levels rose fastest in the Western Pacific and slowest in the Eastern Pacific over the period 1993–2018 (medium confidence). …The anthropogenic signal in regional sea level change will emerge in most regions by 2100 (medium confidence).” [bold added]
AR6 Chapter 9, page 8.
It is a little distressing that in the Summary for Policy Makers (SPM) they conclude that human influence was “very likely” the main driver of the acceleration in sea level and in Chapter 9 they admit they do not expect to observe an anthropogenic signal in regional sea level change before 2100.
Global Mean Sea Level (GMSL) might have increased more in the 20th century than at any time in the past 3,000 years, but how would anyone know? There were no tide gauges or satellites 3,000 years ago. Neither tide gauges nor satellites are accurate at the millimeter level, and certainly historical records and geological proxies from three thousand years ago are not. The geological proxies of past sea level are explained by Willis Eschenbach here. Warning, if you have a sensitive stomach, don’t look at Willis’s plots!
Further, why should this mean anything? Glaciers advanced to their lowest Holocene elevations during the Little Ice Age from 1600 to 1850, swallowing entire villages in the process (Behringer, 2010, pp. 89-90). The Little Ice Age was the coldest period in the entire Holocene—roughly 11,700 years ago to the present day. As Little Ice Age glaciers melt, one would expect sea level to rise a little, but just how significant is this? More importantly can we be confident the rate of GMSL rise is accelerating?
We also find it strange that they conclude the rate of GMSL rise is increasing based on comparing linear least squares fits to selected portions of the sea level record. Figure 1 plots the entire NOAA GMSL record by quarter since April 1880. The x axis is the number of quarters (three-month periods), and mean sea level is given on the y axis through 2020. This record is built from the Church and White (Church & White, 2011) GMSL data to 2010 and University of Hawaii Fast Delivery data after that.

AR6 selects numerous specific intervals in the quotes above to justify their claim that the rate of sea level rise is accelerating. This claim is visually dubious since the data look a bit wavy, but linear. The period of apparent acceleration from 180 to 300 (1925-1952), looks suspiciously like 420 to 510 (1985-2007). The entire record, from April 1880 to the end of 2020 has a slope of 1.65 mm/year with an R2 of 0.97. We could cherry pick periods all day and not resolve anything significant regarding acceleration or the lack of it. The least squares statistics for the AR6 cherry-picked periods mentioned in the quotes above are given in Table 1 and compared to four I cherry-picked.
While AR6 claims acceleration is occurring with high confidence, the previous report states:
“The trend in GMSL observed since 1993, however, is not significantly larger than the estimate of 18-year trends in previous decades (e.g., 1920–1950).”
AR5: (IPCC, 2013, p. 290)
One wonders why AR6 has a different view only seven years later.
AR6 would have us believe that because a least squares linear fit to the rise in sea level is larger from 2006 to 2018 than from 1971 to 2018 it is accelerating. Yet from 2012 to 2020 the rate is nearly as low as from 1971 to 2018. The largest rate of rise in Table 1 is only 15 inches or 38 cm per century, hardly alarming when global tides, in the open ocean, average more than twice that; and coastal tides are often ten times that value daily. Climate changes on a temporal scale of centuries, as we can see comparing the Little Ice Age to the Medieval Warm Period, so an instrumental record from 1880 to 2020 is unlikely to capture the full range of sea level rates. Estimates of sea level rise gathered from historical and geological records show that sea level has risen much faster in the past, as shown in Figure 2 created by Robert Rohde.

Sea level is estimated using tide gauges mounted on coasts around the world. The very best of these gauges are only accurate to ±5 mm for a monthly average (NOAA, 2020). Satellite measurements of sea level are problematic unless meteorological conditions are perfect, and they are trying to measure the altitude of a moving surface. AR6 admits that satellite estimates of sea level rise “acceleration” are much smaller than the heavily massaged tide gauge records. This is discussed on page AR6 page 9-96, where we see that satellites find acceleration from 1993 to 2015 to 2006-2015 is from a rate of 3.16 mm/year to 3.58 mm/year, this is an acceleration of less than half a mm/year2 in roughly a decade. Other satellite estimates are similar. Satellite estimates of sea level are not accurate to one-half of a millimeter (Frederikse, et al., 2020).
Is the difference between an estimated global average rate of 3.8 mm/year and 1.8 mm/year statistically significant, considering the data used? Particularly when these measurements are made over a few decades? It seems unlikely, but let’s look at the data more closely.
The AR6 statements suggest that the rate of sea level rise is increasing due to human influence. This is presumably due to greenhouse gas (GHG) emissions causing surface warming, which then melts glaciers sitting on land. This raises two questions:
- Is the increase in the rate of sea level rise statistically significant?
- If so, could warming due to human GHG emissions have caused it?
From AR6:
“Heating of the climate system has caused global mean sea level rise through ice loss on land and thermal expansion from ocean warming. Thermal expansion explained 50% of sea level rise during 1971– 2018, while ice loss from glaciers contributed 22%, ice sheets 20%, and changes in land water storage 8%. The rate of ice sheet loss increased by a factor of four between 1992–1999 and 2010–2019. Together, ice sheet and glacier mass loss were the dominant contributors to global mean sea level rise during 2006-2018 (high confidence).”
AR6 page: SPM-14
Thus, ocean warming since the Little Ice Age, provides about half of sea level rise. Melting ice provides most of the rest.
From AR6:
“By 2100, GMSL is projected to rise by 0.28–0.55 m (likely range) under SSP1-1.9 and 0.63–1.02 m (likely range) under SSP5-8.5 relative to the 1995–2014 average (medium confidence). Under the higher CO2 emissions scenarios, there is deep uncertainty in sea level projections for 2100 and beyond associated with the ice-sheet responses to warming. In a low-likelihood, high-impact storyline and a high CO2 emissions scenario, ice-sheet processes characterized by deep uncertainty could drive GMSL rise up to about 5 m by 2150. Given the long-term commitment, uncertainty in the timing of reaching different GMSL rise levels is an important consideration for adaptation “
AR6 page TS-44
Some IPCC climate models predict up to 5 meters of sea level rise by 2150, when the current rate of sea level rise is less than 40 cm or 1.3 feet per century? Considering that the IPCC models have not predicted climate accurately after 30 years of trying (McKitrick & Christy, 2018), pardon my skepticism.
AR6:
“It is virtually certain that global mean sea level will continue to rise through 2100 …
Beyond 2100, GMSL will continue to rise for centuries due to continuing deep ocean heat uptake and mass loss of the Greenland and Antarctic Ice Sheets and will remain elevated for thousands of years (high confidence).”
AR6 Chapter 9, page 9-9.
The first statement is likely true, we are still warming as we come out of the Little Ice Age and I would doubt a change in direction of glacier retreat before 2100, the second statement is pure speculation, projecting beyond 2100 is reckless.
In summary, the AR6 statements about acceleration of sea level rise are based on simple cherry-picked and crude linear least squares fits to sea level data for the past 140 years. They also incorporate data and trends of ocean warming and land-based glacier melting. The problem is the rate of rise of sea level is so small today and so linear that their attempts to predict large rates of sea level rise are statistically inept and almost comical. In the next post we examine the complexity of measuring GMSL, and later in this series we will provide a more statistically significant projection of sea level rise that is much less than the wild predictions from AR6.
The bibliography can be downloaded here.

I have been watching sea level since before 1960 in places with tides from less than 1 to over 2 meters from Virginia to Texas, serious study and concern often in that period. There are places where relative sea level seems a little different since, but Fig. 1 is a screwy presentation. Why is it measured to two ‘significant’ decimal places? I know that’s about math excuses, but it is neither precision nor accuracy no matter what they claim about R squared. On coasts I have frequented freshwater, wind and barometric pressure mess with sea level a whole lot more than that. And of course soft and hard rock and sediment intersections with water do also move, some places more. There is now as long predicted considerable evidence that in the small tide Gulf of Mexico inundation amounts are rather critical,where critters can swim and play in much more than millimeter fractions involved.
This is still the best I ever read about sea level. “It seems to me to be evident that the position of a shoreline at any time and place is determined by an exceedingly complicated equation….” Shaler, Evidences as to change of sea level, 1895. Bulletin Geological Society of America. 6:141-166.
Good points, more later.
A lot of stuff going on to “measure” sea level rises due to temperature. Is any of this been verified against historical documents and historical sites? It would seem paintings, written records of seaport changes, and photographs should provide a very stable base to judge much of the math against.
If land is rising and “hiding” sea level rise, so what? Is it going to sink again without actual glaciers sitting on top of it? Where will the glaciers come from?
If some shore line is sinking causing sea level rise, so what? Has it been proven that man’s use of water pumping hasn’t caused it?
It seems like there is such a rush to blame temperature that good science is thrown in the trash can.
How is the y axis scale set for all of these climate charts? If you want to scare people, you stretch it. If you don’t, just flatten it.
It is a little distressing that in the Summary for Policy Makers (SPM) they conclude that human influence was “very likely” the main driver of the acceleration in sea level and in Chapter 9 they admit they do not expect to observe an anthropogenic signal in regional sea level change before 2100.
Did you expect the SPM to have any scientific basis? It is a political document, written specifically for politicians. Its purpose is to promote global warming alarmist theology and give cover to politicians who can say that “the IPCC says” or “scientists agree” that it’s worse than we thought, even though the statements made in the SPM are often contradicted by the science chapters of the same report.
Never take the SPM seriously. Mock it incessantly for its numerous factual errors that conflict with what the actual science chapters say.
The average rate of sea level rise was 1.3 [0.6 to 2.1] mm yr–1 between 1901 and 1971, increasing to 1.9 [0.8 to 2.9] mm yr–1 between 1971 and 2006, and further increasing to 3.7 [3.2 to 4.2] mm yr–1 between 2006 and 2018 (high confidence)
Another claim of watchmaker accuracy from a bricklayer measurement. The Jason -2 satellite is a marvellous machine but the Poseiden radar altimeters cannot make millimeter scale measurements because they were simply not designed to do so.
A 3 millimeter range resolution would require a bandwidth of at least 50 Ghz, yet the Ku band carrier frequency is just 13.5 Ghz. Even a 3 centimeter resolution would need a 5 Ghz bandwidth, which is feasible, but would never be licensed as it would blot our most satellite communications and broadcasting with every pass. It is difficult to see how such a short pulse could be engineered with enough power to obtain a detectable echo. Even if this were possible, it would be to no avail as the backscatter equation is includes a significant wave height term. A further consideration is that centimeter scale resolution implies the satellite’s position in space is known to a similar level of accuracy.
The Posiden-3 altimeter is allocated a bandwidth of 320 Mhz, centred on a 13.65 Ku band carrier, giving a best range resolution for perfectly flat water and ideal conditions of 0.47 metres. A typical 2 metre significant wave height reduces the resolution to just under a metre.
This is the very best theoretical altimeter range accuracy that can be achieved. All the rest is averaging, lots of averaging and as we know, whilst averaging may increase precision, it never improves accuracy.
I had obtained somewhat the same conclusion from examining the orbital height variation. Part of the precision obtained is from “averaging” height measurements over time. Think of averaging temperatures over time to get an “average” temp out to 1/1000th uncertainty.
If I remember correctly, the satellite people recognize that orbits can change in the 10 meter range due to several things happening. Think about that. Individual measurements that can vary by 10 meters, but by averaging, they can obtain millimeter precision?
I wonder if, at these IPCC events, they ban putting ice in the beverages for fear of flood by “cocktail level rise”?
Any chance of directly linking to your quarterly values, per C&W and U of H? I have no reason to doubt them, and I am sure you thought they were available from your (good) biblio. But I’ve spent some time hunting, via biblio and from searching, unsuccessfully. I am sure that they are available, and that the problem is in my drill down, but would appreciate the help.
Thx in advance….
Forgot. Also quantitative estimates of confidence intervals, by quarter, if any. As in, not “real, real, big”. Presumably, the data is evaluable. You did.
Here in Australia the land is supposedly pretty flat and stable, so should be a good sea level gauge ( expansion) just by looking at tidelines.
https://kenskingdom.wordpress.com/2021/08/23/the-worlds-biggest-thermometer/
Nothing to see here, move on.
Here are the trends for 376 of over 1,500 tide gauges available in the data set of the
Permanent Service for Mean Sea Level (PSMSL).
1) Trends over the lifetime
https://drive.google.com/file/d/1jIAhx1OifHrLF4Pf5YUqCwRenw26Ev3u/view
2) Trends over the period 1993-2018
https://drive.google.com/file/d/19dXIBq8Q7_ZtQm_V7tfcAPCmvEvHiY1P/view
I’m sure you will find some Australian gauges in the lists; maybe you compare the values displayed in (1) and (2), for example
196 1914 2020 107 SYDNEY,_FORT_DENISON_2_________________ -33.85 151.23 1.50
with
196 1914 2020 107 SYDNEY,_FORT_DENISON_2_________________ -33.85 151.23 26.50
The values in the last column are in mm / decade.
Pretty flat and stable, maybe!
But you certainly will have e.g. around Sydney a lot of subsidence, otherwise the lines below (without correction for vertical land movement) would look exactly like the lines above
196 1914 2020 107 SYDNEY,_FORT_DENISON_2_____________ -33.85 151.23 10.70
196 1914 2020 107 SYDNEY,_FORT_DENISON_2_____________ -33.85 151.23 35.70
As you can see, not every correction for vertical land movement leads to a higher sea level rate.
No acceleration in sea level rise, Andy May?
Hmmmh.
And here are, for the Dangendorf data represented above, the five year distant consecutive trends, from 1903-2015 till 1993-2015
Source
https://static-content.springer.com/esm/art%3A10.1038%2Fs41558-019-0531-8/MediaObjects/41558_2019_531_MOESM2_ESM.txt
What about you trying to scientifically and technically contradict them?
I never saw at WUWT any plausible evaluation of tide gauges, together with winds and ocean currents.
And here is their paper about all that:
https://drive.google.com/file/d/1-ilhh3ov20tfb03P5ZKDHTzZuJ9rD4P8/view