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Timing of emergence of modern rates of sea-level rise by 1863


Sea-level rise is a significant indicator of broader climate changes, and the time of emergence concept can be used to identify when modern rates of sea-level rise emerged above background variability. Yet a range of estimates of the timing persists both globally and regionally. Here, we use a global database of proxy sea-level records of the Common Era (0–2000 CE) and show that globally, it is very likely that rates of sea-level rise emerged above pre-industrial rates by 1863 CE (P = 0.9; range of 1825 [P = 0.66] to 1873 CE [P = 0.95]), which is similar in timing to evidence for early ocean warming and glacier melt. The time of emergence in the North Atlantic reveals a distinct spatial pattern, appearing earliest in the mid-Atlantic region (1872–1894 CE) and later in Canada and Europe (1930–1964 CE). Regional and local sea-level changes occurring over different time periods drive the spatial pattern in emergence, suggesting regional processes underlie centennial-timescale sea-level variability over the Common Era.


The time of emergence (ToE) identifies when a climate change signal emerges above background variability, reflecting the onset of significant periods of change1,2,3. ToE has been evaluated for measures such as surface air temperatures, atmospheric variables, sea surface temperatures (SST), ocean biogeochemistry, and sea level1,2,4. However, these studies are often restricted to comparisons of 21st-century projections to a background reference period of observations over decades to the last century or simulated pre-industrial climate rather than using available paleoclimate data5. With regard to sea level, high-resolution proxy reconstructions provide a record of pre-industrial variability extending through the Common Era (0–2000 CE)6,7, which allows for a more detailed analysis of ToE.

The goal of identifying the timing of modern rates of sea-level rise has been pursued using several different techniques and datasets. Although there is agreement that rates of sea-level rise globally and in many locations exceed Common Era background rates by the late 19th to early 20th century8,9,10, global and regional estimates differ and the spatial variability in the timing among locations is unclear. Using a global tide-gauge compilation beginning in 1870 CE, Church and White8,11 found that rates of global-mean sea-level rise were already accelerating in the late 19th century. A global sea-level reconstruction using Monte Carlo Singular Spectrum Analysis of tide gauge records suggests an acceleration starting at the end of the 18th century12, but only a limited number of tide gauge records, restricted to northwestern Europe, extend back through to the 18th and early 19th centuries. Kopp et al.9 estimated global sea-level change through the Common Era by applying a spatiotemporal hierarchical model to a global database of relative sea-level (RSL) reconstructions and found a significant global sea-level acceleration that began in the 19th century. From the combination of tide gauge observations and proxy reconstructions, the Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) concluded that a sustained increase of global mean sea level began between 1820 and 18603.

At a regional scale, Gehrels and Woodworth10 used tide gauge and proxy reconstructions from the North Atlantic and Australasia to suggest an increase in the rate of rise between 1895 and 1945 CE; however, this estimate was simply made by visual inspection of sea-level trends. Previous studies on the U.S. Atlantic coast have used change point analysis to examine the timing of increased rates of rise at individual locations, quantifying common timing among western North Atlantic proxy records to 1865–1873 CE13. At individual sites, change point analysis and linear regression have identified increases in rate varying in timing from the early 19th to the early 20th centuries7,14,15,16,17. However, the change-point model is limited in that it assumes acceleration is instantaneous.

The range of suggested timings both globally and regionally may reflect the method of analysis or the influence of the long-term rate of change and the amplitude of pre-industrial variability among locations or may arise from regional variability in sea-level change, due to processes such as the gravitational, rotational, and deformational fingerprints of mass loss from ice sheet and glacier melt or changes in ocean and atmosphere circulation3,18. Concurrent analysis of sea-level change, both globally and at many individual sites, is needed to identify the source of discrepancies among estimates of the timing of increased rates of sea-level rise and to determine when sea-level rates emerged to be clearly distinguishable from background variability.

Here, we use a previously published global database (Supplementary Fig. 1, Source Data) of instrumental and proxy (e.g., foraminifera, diatoms, testate amoebae, coral microatolls, archeological evidence, sediment geochemistry) sea-level records of the Common Era19 to examine the ToE of modern rates of sea-level rise above pre-industrial background variability. These records are incorporated into a spatiotemporal empirical hierarchical model9,20 to examine magnitudes and rates of past RSL and global sea-level change with associated uncertainty, using shorter time periods (60-year rates) than the previous analysis9,19 while still minimizing the effects of interdecadal fluctuations (Supplementary Table 4). We analyze the timing of the onset of modern rates of sea-level rise using the entire reconstructed spatiotemporal sea-level field from the global database. The ToE of modern rates of RSL rise is defined as when it is very likely (P ≥ 0.90) that the rate of RSL change during a 60-year industrial-era period (from 1700 to 2000 CE) and all subsequent periods is greater than that of a random pre-industrial period (from 0 to 1700 CE). We improve upon previous analyses by assessing both global ToE, using the common global sea-level signal from proxy records, and local ToE at individual sites probabilistically and simultaneously, as opposed to separate studies of individual sites or an analysis of only the global signal. In addition, we evaluate the spatial variability of the ToE among individual locations in the North Atlantic, where the highest density of reconstructions is located, and we only analyze those sites with the highest resolution reconstructions. By decomposing RSL change into different spatiotemporal scales, we can identify regional anomalies in RSL, suggesting potential underlying processes contributing to the variability in ToE.


Global ToE

The rate of global sea-level rise emerged above pre-industrial rates by 1863 CE (P = 0.9; range of 1825 [P = 0.66] to 1873 CE [P = 0.95]), when the global rate of rise was 0.4 ± 0.2 mm/yr from 1840 to 1900 CE (Fig. 1). Over the pre-industrial Common Era, the global component of reconstructed RSL exhibits fluctuating rates between −0.3 ± 0.2 and 0.2 ± 0.3 mm/yr from 0 to 1700 CE. Sixty-year average rates increase into the 20th century from −0.1 ± 0.2 mm/yr from 1700 to 1760 CE to 1.4 ± 0.2 mm/yr from 1940 to 2000 CE (Fig. 1). Consistent with prior analyses21 it is virtually certain (P > 0.999) that the global rate of rise from the most recent 60-year interval, 1940–2000 CE, was faster than all previous 60-year intervals during the Common Era.

Fig. 1: Time of emergence of global sea-level rise.
figure 1

a Sixty-year average rates over the Common Era, where pre-industrial is 0–1700 CE. b Sixty-year average rates from 1700 to 2000 CE which increase concurrently with the probability that each 60-year interval and all subsequent 60-year intervals were greater than a random 60-year interval during the pre-industrial Common Era. The time of emergence year is given for 0.66, 0.90, and 0.95 probabilities. Model predictions are the mean with 1σ uncertainty.

Global sea-level rise is largely driven by thermal expansion of warming ocean water and increases in ocean mass due to the melting of land-based glaciers and ice sheets22,23. The global ToE of modern sea-level rise (1863 [1825–1873] CE) is in concordance with the onset of warming oceans. While a global synthesis of sea surface temperatures identified a cooling trend from 1 to 1800 CE24, instrumental records of sea surface and subsurface temperatures suggest warming from the 1870s to present25. Using paleoclimate records since 1500 CE, Abram et al.5 found that sustained, significant industrial-era warming trends commenced during the 19th century, preceding the global sea level ToE. Specifically, an onset of warming of sea surface temperatures occurred in the early to mid-19th century in the Western Atlantic (1828 CE), Western Pacific (1834 CE), and Indian oceans (1827 CE). While intermediate water temperatures in some regions of the ocean interior or global ocean heat content may lag surface warming trends26,27, the onset of increased surface temperatures may signify the initial change in ocean warming, which precedes the global sea level ToE. The global ToE of modern sea-level rise is also similar in timing to global glacier retreat. Glaciers expanded globally beginning in the 13th century and reached a maximum between the mid-16th to 19th centuries, but subsequently began to retreat in the middle to late 19th century28,29,30. It is unlikely that the Greenland and Antarctic Ice Sheets had large positive contributions to global sea-level rise prior to the 20th century31,32. The Greenland Ice Sheet had minimal variability in ice-mass loss over the Common Era32 but has experienced an acceleration in the rate of ice loss in the last century33. The mass balance of the Antarctic Ice Sheet is not as well constrained until the last several decades when there has been an acceleration in mass loss over time34. Additionally, the ToE occurs after the end of the Little Ice Age (~1850 CE), which was marked by the recovery from naturally forced climate cooling due to a series of volcanic eruptions and solar variability35,36.

ToE in the North Atlantic

Local records in the North Atlantic exhibit more variability than the common global signal; therefore, the ToE of modern rates of global sea level (1863 [1825–1873] CE) is earlier than individual locations in the North Atlantic. At sites in the North Atlantic, the ToE exhibits spatial variability and ranges from the late 19th century to the mid-20th century (Table 1, Fig. 2). The spatial pattern in the ToE is unrelated to pre-industrial rate variability or proxy data resolution (Supplementary Figs. 3 and 4, Supplementary Tables 2 and 5). The ToE occurs earliest in the mid-Atlantic region (New York, New Jersey, North Carolina), where it ranges from 1872 CE (1840–1906 CE) in New York to 1894 CE (1842–1910 CE) in North Carolina. The northeastern (Connecticut, Massachusetts) and southeastern (Florida) U.S. exhibit a slightly later ToE, from 1897 CE (1838–1912 CE) on the Gulf Coast of Florida to 1919 CE (1864–1938 CE) in northern Florida. Canada (Nova Scotia, Newfoundland, Quebec) and Europe (Iceland, Denmark, Greenland, Scotland) have the latest ToE, from 1930 CE (1895–1944 CE) in Nova Scotia to 1964 CE (1901 CE–not yet emerged) in Greenland.

Table 1 Time of emergence and Common Era rates for global sea level, null site, and 21 North Atlantic sites.
Fig. 2: Spatial variability in the time of emergence of modern rates of relative sea level.
figure 2

Time of emergence is shown for global sea level, null site (indicative generic site in northeast Asia (38°N, 127°E) with no instrumental data and far from available proxy data), and sites in the North Atlantic. Common Era rates for the periods 0–1700, 1700–2000, and 1940–2000 CE, as well as the distribution of mean estimates of pre-industrial 60-year rates, are also shown for each site by increasing longitude.

To highlight the underlying nonlinear regional to local signal at each site responsible for the spatial pattern of the ToE, we use the spatiotemporal model decomposition (Fig. 3) to remove the global signal (which is common to all sites) (Fig. 3b) and linear signal (which is consistent with the effects of glacial isostatic adjustment19) (Fig. 3c). There is a clear spatial variability of regional (global and linear signals removed) trends that correlates to the spatial pattern in the ToE (Supplementary Fig. 5). In the mid-Atlantic, it is very likely (P > 0.9) that the regional rates are positive for the period from 1700 to 2000 CE, with an increase beginning around 1400 CE, reaching up to 0.7 ± 0.4 mm/yr at the end of the 20th century in southern New Jersey (Supplementary Fig. 5a, Supplementary Table 3). The regional increase in rate is muted or absent in the northeastern and southeastern U.S. (e.g., 0.2 ± 0.4 mm/yr in Massachusetts and 0 ± 0.4 mm/yr in northern Florida at the end of the 20th century), where the probability of a positive regional rate from 1700 to 2000 CE ranges from 0.7 to 0.9 (Supplementary Fig. 5b, Supplementary Table 3). In Canada and Europe, there is no continuous pre-industrial regional rate increase to the present. In fact, it is likely (P > 0.66) that most sites in Canada and Europe had a negative regional rate from 1700 to 2000 CE (e.g., −0.6 ± 0.4 mm/yr in Denmark and Scotland by the end of the 20th century), with a decline beginning around 1800 CE (Supplementary Fig. 5c, Supplementary Table 3).

Fig. 3: Spatiotemporal model decomposition for New Jersey, Florida, and Scotland.
figure 3

a Total, b global, c linear, and d regional and local nonlinear rates for three sites (New Jersey, Cheesequake; Florida, Nassau; Scotland, Kyle of Tongue) are shown with the time of emergence for each site. Model predictions are the mean with 1σ uncertainty. Note variable y-axes.

The spatial variability in the ToE among sites suggests different centennial-timescale, regional spatial scale physical mechanisms have influenced North Atlantic sea level over the last millennium. Site-specific local mechanisms, such as increasing groundwater withdrawal causing land subsidence from growing populations at mid-Atlantic sites, could contribute to faster rates of RSL rise. For example, coastal New Jersey experienced up to ~0.7 mm yr1 of subsidence in the 20th century37 and other sites on the U.S. Atlantic coast had subsidence rates in the 21st century up to double the long-term geologic rates due to groundwater withdrawal38. However, these are relatively recent processes and the consistency of the pattern of the ToE among and within regions suggests common regional scale driving mechanisms rather than local site-specific processes.

Along the U.S. Atlantic coast, the spatial pattern of regional rate anomalies does not suggest mass loss of the Greenland Ice Sheet, where we would expect to see an amplified RSL response to the south along the U.S. Atlantic coast39, and therefore also a south to north pattern of the earliest to latest ToE. Previous analysis has also not detected a fingerprint of Greenland Ice Sheet melt on the U.S. Atlantic coast over the Common Era40. An ice sheet fingerprint may be too small or overprinted by other processes to be detectable over this time period; however, it is unlikely that the Greenland Ice Sheet significantly contributed to sea-level rise prior to the 20th century32,33.

We thus hypothesize that the regional increase in RSL rates on the U.S. Atlantic coast is related to regional changes in the ocean and/or atmosphere. Ocean circulation changes in the North Atlantic through Atlantic Meridional Overturning Circulation (AMOC) and the strength and/or position of the Gulf Stream can affect regional sea level on the U.S. Atlantic coast41,42,43. For example, many theoretical and modeling studies have found a scaling coefficient between AMOC transport and U.S. Atlantic coast sea level on the order of −1 to −2 cm/Sv44. Specific climate changes coincident with the initiation of elevated regional rates of RSL rise in the mid-Atlantic have been documented in the proxy record. In particular, proxy foraminifera have been used to infer a ~3 Sv reduction in the Gulf Stream through the strength of the Florida Current during the Little Ice Age (at ~1350–1750 CE)45. However, sea-level rise associated with a Florida Current weakening is expected to be largest and most coherent south of Cape Hatteras;44 therefore, the coupling of changes across the North Atlantic involving the Florida Current, Gulf Stream, and U.S. Atlantic coast sea level requires further analysis. The timing of the circulation changes and the regional increase in RSL rates in the mid-Atlantic is also roughly coincident with a shift from a sustained positive phase of the North Atlantic Oscillation (NAO) to a sustained negative phase beginning around 1400 CE46. Changing patterns of atmospheric winds, buoyancy fluxes, and pressure, such as those connected with the NAO47, can affect the Gulf Stream and AMOC48,49, which could manifest in centimeter-scale regional sea-level changes50.

At sites in Canada and Europe, regional rates are relatively stable until ~1800 CE; however, there are several short periods of increased pre-industrial rates at several sites. Specifically, there is an increase in the regional rate between 1300 and 1500 CE, reaching 0.7–0.8 mm/yr in both sites in Greenland and one of the two sites in Newfoundland, but the rates then subsequently decrease into the 20th century (Supplementary Fig. 5). The increase in the rate in Greenland may be related to a period of growth of the Greenland Ice Sheet and crustal subsidence during this time51. The site in Newfoundland may experience more varied RSL trends due to its local-scale geomorphology situated on a peninsula indirectly connected to the ocean40. These elevated pre-industrial rates could contribute to the later ToE at these sites; however, elevated pre-industrial rates are absent at other sites within the same region that have a similar ToE, suggesting that the early elevated rates are locally driven and the ToE is substantially driven by regional processes. We thus conclude that the later ToE in Canadian and European sites is driven by a regional rate decline beginning around 1800 CE, which masks the positive rate contribution from the increasing global signal occurring during the same time. Whether the decline is related to climatic changes in the North Atlantic such as a proposed coincident AMOC weakening52,53 is uncertain. Model evidence and theory suggest that sea-level changes associated with AMOC are smaller along the eastern boundary of the Atlantic44,54. There is a potential explanation outside ocean dynamics, at least for the last century: a regional sea-level fall in eastern Canada and northwestern Europe is consistent with the sea-level fingerprint of Greenland ice mass loss55.

Overall, the ToE of modern rates of sea-level rise is later along the eastern North Atlantic margin (European coast) compared to the western North Atlantic margin (North American coast), supporting previous interpretations of differences in RSL histories between the North American and European coastlines over the last several centuries56,57. Therefore, while modern rates of RSL emerge at all sites by the mid-20th century due to the large magnitude common global signal (1.4 ± 0.2 mm/yr by the end of the 20th century), the spatial variability in the ToE among sites is driven by asynchronous regional centennial-timescale trends unrelated to long-term linear rates of change associated with glacial isostatic adjustment (Fig. 3, Supplementary Fig. 5). Specifically, regional and local sea-level changes with an increase on the U.S. Atlantic coast since ~1400 CE and a decrease in Canada and Europe since ~1800 CE drive the spatial pattern in ToE, suggesting multiple processes underlie North Atlantic RSL variability over the Common Era. Further analysis of climate proxies and the relationship of elements of the North Atlantic circulation with RSL is needed to fully determine the cause of the regional RSL changes occurring over the last millennium, but the timing of these trends suggests that the spatial patterns in ToE are unrelated to anthropogenic climate forcing.


Sea-level database

The global sea-level database19 (Source Data) comprises Common Era RSL proxy records with high-resolution chronologies from 36 regions around the world (Supplementary Fig. 1) and includes 2274 sea-level data points from proxies such as foraminifera, diatoms, testate amoebae, coral microatolls, archeological evidence, and sediment geochemistry. In addition, decadal-average values from instrumental tide gauge records in the Permanent Service for Mean Sea Level (PSMSL;58 were included, provided they were either (1) longer than 150 years, (2) within 5° distance of a proxy site and longer than 70 years, or (3) the nearest tide gauge to a proxy site that is longer than 20 years9,40. Also included are multicentury records from Amsterdam (1700–1925 CE)59, Kronstadt (1773–1993 CE)60, and Stockholm (1774–2000 CE)61, as compiled by PSMSL. As in Kopp et al.9 and Kemp et al.40, the input data also include 1880–2010 global mean sea-level reconstruction of Hay et al.62 from tide-gauge records.

Spatiotemporal model

The data is used with a spatiotemporal empirical hierarchical model9,20. A process-level characterizes RSL over space and time and a data level links RSL observations (reconstructions) to the RSL process.

At the process level, the RSL field \(f\left({{{{{\boldsymbol{x}}}}}},t\right)\) is modeled as the sum of seven components40


where \({{{{{\boldsymbol{x}}}}}}\) represent geographic location, t represents time and \({t}_{0}\) is a reference time point (2000 CE). The components are fast and slow common global terms (\({g}_{f}\left(t\right)\) and \({g}_{s}\left(t\right)\)), a regional linear term (\(m\left({{{{{\boldsymbol{x}}}}}}\right)\left(t-{t}_{0}\right)\)), fast and slow regional non-linear terms (\({r}_{f}\left({{{{{\boldsymbol{x}}}}}},t\right)\) and \({r}_{s}\left({{{{{\boldsymbol{x}}}}}},t\right)\)), and fast and slow local terms (\({l}_{f}({{{{{\boldsymbol{x}}}}}},t)\) and \({l}_{s}\left({{{{{\boldsymbol{x}}}}}},t\right)\)). Predictions from the ICE5G–VM2–90 Earth-ice model63 act as prior means for the regional linear term.

The data level includes the RSL reconstructions with observations, yi, where

$${y}_{i}=f\left({{{{{{\boldsymbol{x}}}}}}}_{i},{t}_{i}\right)+{y}_{0}\left({{{{{{\boldsymbol{x}}}}}}}_{i}\right)+{\varepsilon }_{i}+w\left({{{{{{\boldsymbol{x}}}}}}}_{{{{{{\boldsymbol{i}}}}}}},{t}_{i}\right)$$
$${t}_{i}=\hat{{t}_{i}}+{\delta }_{i}$$

where \(f\left({{{{{{\boldsymbol{x}}}}}}}_{i},{t}_{i}\right)\) is the true RSL value at location \({{{{{\boldsymbol{x}}}}}}\) and time \(t\), \({\varepsilon }_{i}\) is the vertical uncertainty, \(w\left({{{{{{\boldsymbol{x}}}}}}}_{{{{{{\boldsymbol{i}}}}}}},{t}_{i}\right)\) is supplemental white noise, and \({y}_{0}({{{{{{\boldsymbol{x}}}}}}}_{i})\) is a site-specific vertical datum correction to ensure that the RSL reconstructions are directly comparable to one another. The true age of an RSL observation (\({t}_{i}\)) is the mean estimate (\(\hat{{t}_{i}}\)) and its error (\({\delta }_{i}\)).

The hyperparameters are set through a maximum-likelihood optimization to characterize prior expectations of spatial and temporal scales, as well as amplitudes, of RSL variability (Supplementary Table 1). The non-linear terms were characterized by three spatial scales (global, regional, and local) and two temporal scales (fast and slow), which allow RSL to be decomposed into global, regional temporally linear, regional non-linear, and local components. Here, we remove a constraint on the model that was applied in Kopp et al.9, Kemp et al.40, and Walker et al.19 that mean global sea level over −100 to 100 CE is equal to mean global sea level over 1600–1800 CE because, with the current, expanded database, the results of the analysis with and without the constraint are nearly the same; a constant ~±0.1 mm/yr ambiguity in the long-term trend is no longer apparent.

Time of emergence

We use the reconstructed spatiotemporal field to determine the timing at which the rates in the last three centuries of the records emerge above the spread of the previous variability over the Common Era (Fig. 1). To minimize the effects of interdecadal fluctuations12,64 and limited reconstruction resolutions, we focus on 60-year average rates. We define the pre-industrial background rates by the distribution of 60-year averages from 0 to 1700 CE at 20-year increments (e.g., 0–60 and 20–80 CE). Industrial-era rates are defined by 60-year averages from 1700 to 2000 CE at 20-year increments (e.g., 1700–1760 and 1720–1780 CE). The pre-industrial 60-year periods are enumerated from 1 to m, while industrial-era periods are enumerated from m + 1 to m + n. The ToE of modern rates of RSL rise is defined as when it is very likely (P ≥ 0.90) that the rate of RSL change during industrial-era period l and all subsequent periods is greater than that of a random pre-industrial period.

We define rates as x = [x1, x2, …, xm, …, xm+n], where x follows a multivariate normal distribution estimated by the statistical model. We define U as the (m + n) × (m + n) matrix with elements uij = xi − xj. Accounting for the full covariance among rates, we compare the industrial-era rates to the background distribution using a Monte Carlo approach, taking 10,000 samples of U, enumerated \(\hat{{{{{{{\bf{U}}}}}}}_{1}},\ldots ,{\hat{{{{{{\bf{U}}}}}}}}_{10000}\), with elements enumerated \({\hat{u}}_{{ijk}}\). For each Monte Carlo sample k, we randomly select one pre-industrial period \({r}_{k}\in [1,{m}]\) to serve as the reference period. For each industrial-era period l, we calculate \({\hat{v}}_{{lk}}=\mathop{{{\min }}}\nolimits_{i\in [l,{m}+n]}{\hat{u}}_{{{ir}}_{k}k}\) and estimate the distribution of \({v}_{l}\) from the samples \({\hat{v}}_{{lk}}\). The ToE of modern rates of RSL rise is defined as the period l when P(vl > 0) ≥ 0.90. In addition, representing each 60-year period by its central year, we interpolate the probability curve to identify the year in which the probability reaches 0.90. We provide an uncertainty range for the ToE with a lower bound of when the probability reaches 0.66 and an upper bound of when the probability reaches 0.95.

Both the highest density of RSL reconstructions from the Common Era database and the highest resolution reconstructions are in the North Atlantic. We, therefore, focus our ToE analysis on individual sites in the North Atlantic where the spatial resolution allows an examination of variability in timing. To increase the likelihood that any variability in the ToE is due to process and not the proxy data resolution, we also only analyze the ToE at proxy reconstructions in the North Atlantic that fit the following criteria: (1) the proxy record is at least ~1000 years in length to provide sufficient background information; and (2) the proxy record has data from 1700 to 2000 CE. Using these criteria, we analyze the ToE at six sites in Europe and fifteen sites along the eastern coast of North America (Table 1). In addition, we establish a “null hypothesis” by predicting RSL and the ToE at an indicative generic site in northeast Asia (38°N, 127°E) with no instrumental data and far from available proxy data to compare with the RSL and ToE at individual locations where there is available instrumental and proxy data (Supplementary Fig. 1). At this site, predicted RSL is equal to global sea level plus additional uncertainty associated with regional variability (Supplementary Fig. 2). When the RSL predictions and ToE at individual records differ from the null hypothesis, it reflects the influence of meaningful local information at individual sites.

We also conducted a series of sensitivity analyses to evaluate our ToE method. When comparing the ToE when using 40, 60, or 80-year average rates, the global ToE only varies by 15 years between the ToE using 40-year rates and 80-year rates (Supplementary Table 4). Using 40-year rates does shift the ToE at individual sites to a later date as the effects of interdecadal fluctuations become more pronounced, but the overall spatial pattern in the ToE remains broadly the same with earlier ToE in the western North Atlantic compared to the eastern North Atlantic. Using 80-year rates shifts the ToE at individual sites to slightly earlier dates, but again, the spatial pattern is largely consistent with the ToE when using 60-year average rates. Supplementary Table 5 shows the consistency of ToE when using a 0–1400 CE background reference period compared to a 0–1700 CE reference period, where the ToE globally and at individual sites remains the same. Additionally, we compared the global ToE using different datasets, including earlier versions of the proxy sea-level database from Kopp et al.9 and Kemp et al.40 (Supplementary Table 6). Since there is an abundance of data in the North Atlantic and western North Atlantic compared to the rest of the globe, we also compare the global ToE using only North Atlantic sites, and then all the data excluding North Atlantic sites, and all the data excluding western North Atlantic sites. In all scenarios, the global ToE still occurs in the mid to late 19th century and varies by 29 years. Finally, we tested the influence of proxy data RSL and chronological uncertainties on ToE by reducing uncertainties at European sites to be comparable to the uncertainties of proxy data on the North American coast. In this case, the ToE at European sites remained broadly the same (Supplementary Table 7).

Data availability

Data related to this study are provided in the Supplementary Information and Source Data file. Source data are provided with this paper.

Code availability

Code for the spatiotemporal model results that are reported in the paper65 are available at


  1. Hawkins, E. & Sutton, R. Time of emergence of climate signals. Geophys. Res. Lett. 39, L01702 (2012).

    ADS  Google Scholar 

  2. Lyu, K., Zhang, X., Church, J. A., Slangen, A. B. A. & Hu, J. Time of emergence for regional sea-level change. Nat. Clim. Change 4, 1006–1010 (2014).

    ADS  Google Scholar 

  3. IPCC. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (eds Masson-Delmotte, V. et al.). (2021).

  4. Lehner, F., Deser, C. & Terray, L. Toward a new estimate of “Time of Emergence” of anthropogenic warming: insights from dynamical adjustment and a large initial-condition model ensemble. J. Clim. 30, 7739–7756 (2017).

    ADS  Google Scholar 

  5. Abram, N. J. et al. Early onset of industrial-era warming across the oceans and continents. Nature 536, 411–418 (2016).

    CAS  PubMed  Google Scholar 

  6. Gehrels, W. R. Using foraminiferal transfer functions to produce high-resolution sea-level records from salt-marsh deposits, Maine, USA. Holocene 10, 367–376 (2000).

    ADS  Google Scholar 

  7. Kemp, A. C. et al. Sea-level change during the last 2500 years in New Jersey, USA. Quat. Sci. Rev. 81, 90–104 (2013).

    ADS  Google Scholar 

  8. Church, J. A. & White, N. J. Sea-level rise from the late 19th to the early 21st century. Surv. Geophys. 32, 585–602 (2011).

    ADS  Google Scholar 

  9. Kopp, R. E. et al. Temperature-driven global sea-level variability in the Common Era. Proc. Natl Acad. Sci. USA 113, E1434–E1441 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Gehrels, W. R. & Woodworth, P. L. When did modern rates of sea-level rise start? Glob. Planet. Change 100, 263–277 (2013).

    ADS  Google Scholar 

  11. Church, J. A. & White, N. J. A 20th century acceleration in global sea-level rise: an acceleration in global sea-level rise. Geophys. Res. Lett. 33, n/a–n/a (2006).

    Google Scholar 

  12. Jevrejeva, S., Moore, J. C., Grinsted, A. & Woodworth, P. L. Recent global sea level acceleration started over 200 years ago? Geophys. Res. Lett. 35, L08715 (2008).

    ADS  Google Scholar 

  13. Kemp, A. C. et al. Relative sea-level change in Connecticut (USA) during the last 2200 yrs. Earth Planet. Sci. Lett. 428, 217–229 (2015).

    ADS  CAS  Google Scholar 

  14. Donnelly, J. P., Cleary, P., Newby, P. & Ettinger, R. Coupling instrumental and geological records of sea-level change: evidence from Southern New England of an increase in the rate of sea-level rise in the late 19th century: increase in the rate of sea-level rise. Geophys. Res. Lett. 31, n/a–n/a (2004).

    Google Scholar 

  15. Gerlach, M. J. et al. Reconstructing Common Era relative sea-level change on the Gulf Coast of Florida. Mar. Geol. 390, 254–269 (2017).

    ADS  CAS  Google Scholar 

  16. Kemp, A. C. et al. Relative sea-level trends in New York City during the past 1500 years. Holocene 27, 1169–1186 (2017b).

    ADS  Google Scholar 

  17. Kemp, A. C. et al. Extended late Holocene relative sea-level histories for North Carolina, USA. Quat. Sci. Rev. 160, 13–30 (2017a).

    ADS  Google Scholar 

  18. Stammer, D., Cazenave, A., Ponte, R. M. & Tamisiea, M. E. Causes for contemporary regional sea level changes. Annu. Rev. Mar. Sci. 5, 21–46 (2013).

    Google Scholar 

  19. Walker, J. S. et al. Common Era sea-level budgets along the U.S. Atlantic coast. Nat. Commun 12, 1841 (2021).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  20. Ashe, E. L. et al. Statistical modeling of rates and trends in Holocene relative sea level. Quat. Sci. Rev. 204, 58–77 (2019).

    ADS  Google Scholar 

  21. Kemp, A. C. et al. Relative sea-level change in Newfoundland, Canada during the past ~3000 years. Quat. Sci. Rev. 201, 89–110 (2018).

    ADS  Google Scholar 

  22. Shepherd, A. et al. Mass balance of the Antarctic Ice Sheet from 1992 to 2017. Nature 558, 219–222 (2018).

    ADS  Google Scholar 

  23. Frederikse, T. et al. The causes of sea-level rise since 1900. Nature 584, 393–397 (2020).

    CAS  PubMed  Google Scholar 

  24. McGregor, H. V. et al. Robust global ocean cooling trend for the pre-industrial Common Era. Nat. Geosci. 8, 671–677 (2015).

    ADS  CAS  Google Scholar 

  25. Roemmich, D., John Gould, W. & Gilson, J. 135 years of global ocean warming between the Challenger expedition and the Argo Programme. Nat. Clim. Change 2, 425–428 (2012).

    ADS  Google Scholar 

  26. Rosenthal, Y., Kalansky, J., Morley, A. & Linsley, B. A paleo-perspective on ocean heat content: lessons from the Holocene and Common Era. Quat. Sci. Rev. 155, 1–12 (2017).

    ADS  Google Scholar 

  27. Zanna, L., Khatiwala, S., Gregory, J. M., Ison, J. & Heimbach, P. Global reconstruction of historical ocean heat storage and transport. Proc. Natl Acad. Sci. USA 116, 1126–1131 (2019).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  28. Leclercq, P. W. et al. A data set of worldwide glacier length fluctuations. Cryosphere 8, 659–672 (2014).

    ADS  Google Scholar 

  29. Zemp, M. et al. Historically unprecedented global glacier decline in the early 21st century. J. Glaciol. 61, 745–762 (2015).

    ADS  Google Scholar 

  30. Solomina, O. N. et al. Glacier fluctuations during the past 2000 years. Quat. Sci. Rev. 149, 61–90 (2016).

    ADS  Google Scholar 

  31. Davies, B. J., Hambrey, M. J., Smellie, J. L., Carrivick, J. L. & Glasser, N. F. Antarctic Peninsula Ice Sheet evolution during the Cenozoic Era. Quat. Sci. Rev. 31, 30–66 (2012).

    ADS  Google Scholar 

  32. Briner, J. P. et al. Rate of mass loss from the Greenland Ice Sheet will exceed Holocene values this century. Nature 586, 70–74 (2020).

    ADS  PubMed  Google Scholar 

  33. Carrivick, J. L. et al. Accelerated volume loss in glacier ablation zones of NE Greenland, little ice age to present. Geophys. Res. Lett. 46, 1476–1484 (2019).

    ADS  Google Scholar 

  34. Rignot, E. et al. Four decades of Antarctic Ice Sheet mass balance from 1979–2017. Proc. Natl Acad. Sci. USA 116, 1095–1103 (2019).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  35. Gregory, J. M., Lowe, J. A. & Tett, S. F. B. Simulated global-mean sea level changes over the last half-millennium. J. Clim. 19, 4576–4591 (2006).

    ADS  Google Scholar 

  36. Brönnimann, S. et al. Last phase of the Little Ice Age forced by volcanic eruptions. Nat. Geosci. 12, 650–656 (2019).

    ADS  Google Scholar 

  37. Johnson, C. S. et al. The role of sediment compaction and groundwater withdrawal in local sea-level rise, Sandy Hook, New Jersey, USA. Quat. Sci. Rev. 181, 30–42 (2018).

    ADS  Google Scholar 

  38. Karegar, M. A., Dixon, T. H. & Engelhart, S. E. Subsidence along the Atlantic Coast of North America: insights from GPS and late Holocene relative sea level data. Geophys. Res. Lett. 43, 3126–3133 (2016).

    ADS  Google Scholar 

  39. Mitrovica, J. X., Tamisiea, M. E., Davis, J. L. & Milne, G. A. Recent mass balance of polar ice sheets inferred from patterns of global sea-level change. Nature 409, 1026 (2001).

    ADS  CAS  PubMed  Google Scholar 

  40. Kemp, A. C. et al. Relative sea-level change in Newfoundland, Canada during the past ~3000 years. Quat. Sci. Rev. 201, 89–110 (2018).

    ADS  Google Scholar 

  41. Yin, J., Schlesinger, M. E. & Stouffer, R. J. Model projections of rapid sea-level rise on the northeast coast of the United States. Nat. Geosci. 2, 262–266 (2009).

    ADS  CAS  Google Scholar 

  42. Ezer, T., Atkinson, L. P., Corlett, W. B. & Blanco, J. L. Gulf Stream’s induced sea level rise and variability along the U.S. mid-Atlantic coast. J. Geophys. Res. Oceans 118, 685–697 (2013).

    ADS  Google Scholar 

  43. Yin, J. & Goddard, P. B. Oceanic control of sea level rise patterns along the East Coast of the United States: U.S. East Coast Sea Level Rise. Geophys. Res. Lett. 40, 5514–5520 (2013).

    ADS  Google Scholar 

  44. Little, C. M. et al. The relationship between U.S. East Coast Sea level and the atlantic meridional overturning circulation: a review. J. Geophys. Res. Oceans 124, 6435–6458 (2019).

    ADS  PubMed  PubMed Central  Google Scholar 

  45. Lund, D. C., Lynch-Stieglitz, J. & Curry, W. B. Gulf Stream density structure and transport during the past millennium. Nature 444, 601 (2006).

    ADS  CAS  PubMed  Google Scholar 

  46. Baker, A., C. Hellstrom, J., Kelly, B. F. J., Mariethoz, G. & Trouet, V. A composite annual-resolution stalagmite record of North Atlantic climate over the last three millennia. Sci. Rep. 5, 10307 (2015).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  47. Lozier, M. S. Overturning in the North Atlantic. Annu. Rev. Mar. Sci. 4, 291–315 (2012).

    ADS  Google Scholar 

  48. Bryden, H. L., Longworth, H. R. & Cunningham, S. A. Slowing of the Atlantic meridional overturning circulation at 25° N. Nature 438, 655 (2005).

    ADS  CAS  PubMed  Google Scholar 

  49. Srokosz, M. et al. Past, present, and future changes in the atlantic meridional overturning circulation. Bull. Am. Meteorol. Soc. 93, 1663–1676 (2012).

    ADS  Google Scholar 

  50. Woodworth, P. L. et al. Variations in the difference between mean sea level measured either side of Cape Hatteras and their relation to the North Atlantic Oscillation. Clim. Dyn. 49, 2451–2469 (2017).

    Google Scholar 

  51. Long, A. J. et al. Relative sea-level change in Greenland during the last 700yrs and ice sheet response to the Little Ice Age. Earth Planet. Sci. Lett. 315–316, 76–85 (2012).

    ADS  Google Scholar 

  52. Thornalley, D. J. R. et al. Anomalously weak Labrador Sea convection and Atlantic overturning during the past 150 years. Nature 556, 227–230 (2018).

    ADS  CAS  PubMed  Google Scholar 

  53. Caesar, L., McCarthy, G. D., Thornalley, D. J. R., Cahill, N. & Rahmstorf, S. Current Atlantic Meridional overturning circulation weakest in last millennium. Nat. Geosci. 14, 118–120 (2021).

    ADS  CAS  Google Scholar 

  54. Bingham, R. J. & Hughes, C. W. Signature of the Atlantic meridional overturning circulation in sea level along the east coast of North America. Geophys. Res. Lett. 36, L02603 (2009).

  55. Bamber, J. & Riva, R. The sea level fingerprint of recent ice mass fluxes. Cryosphere 4, 621–627 (2010).

    ADS  Google Scholar 

  56. Barlow, N. L. M. et al. Salt-marsh reconstructions of relative sea-level change in the North Atlantic during the last 2000 years. Quat. Sci. Rev. 99, 1–16 (2014).

    ADS  Google Scholar 

  57. Long, A. J. et al. Contrasting records of sea-level change in the eastern and western North Atlantic during the last 300 years. Earth Planet. Sci. Lett. 388, 110–122 (2014).

    ADS  CAS  Google Scholar 

  58. Holgate, S. J. et al. New data systems and products at the Permanent Service for Mean Sea Level. J. Coast. Res. (2013).

  59. van Veen, J. Bestaat er een geologische bodemdaling te Amsterdam sedert 1700. Tijdschr. K. Ned. Aardr Gen. 62, 2–36 (1945).

    Google Scholar 

  60. Bogdanov, V. I. et al. Mean monthly series of sea level observations (1777–1993) at the Kronstadt Gauge. Finn. Geod. Inst. 1, 34 (2000).

  61. Ekman, M. The world’s longest continued series of sea level observations. Pure Appl. Geophys. 127, 73–77 (1988).

    ADS  Google Scholar 

  62. Hay, C. C., Morrow, E., Kopp, R. E. & Mitrovica, J. X. Probabilistic reanalysis of twentieth-century sea-level rise. Nature 517, 481–484 (2015).

    ADS  CAS  PubMed  Google Scholar 

  63. Peltier, W. R. Global glacial isostasy and the surface of the Ice-Age Earth: the ICE-5G (VM2) model and GRACE. Annu. Rev. Earth Planet. Sci. 32, 111–149 (2004).

    ADS  CAS  Google Scholar 

  64. Douglas, B. C. Global sea level rise. J. Geophys. Res. 96, 6981 (1991).

    ADS  Google Scholar 

  65. Walker, J. S., Kopp, R. E., Little, C. M. & Horton, B. P. Timing of emergence of modern rates of sea-level rise by 1863. Zenodo (2022).

    Article  Google Scholar 

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J.S.W. received funds from the David and Arleen McGlade Foundation. J.S.W., R.E.K., and C.L. were also supported by the U.S. National Science Foundation (awards OCE-1804999 and OCE-1805029). B.P.H. was funded by the Ministry of Education Academic Research Fund MOE2019-T3-1-004, the National Research Foundation Singapore, and the Singapore Ministry of Education, under the Research Centres of Excellence initiative and the National Sea Level Program Funding Initiative (Award USS-IF-2020-1), administered by the National Environment Agency, Singapore and supported by the National Research Foundation, Singapore. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not reflect the views of the N.R.F., M.N.D., and N.E.A. J.S.W. also thanks Tim Shaw for help with initial figure concepts and Muhammad Hadi Ikhsan for figure editing. The authors acknowledge PALSEA (Palaeo-Constraints on Sea-Level Rise), a working group of the International Union for Quaternary Sciences (INQUA), and Past Global Changes (PAGES), which in turn received support from the Swiss Academy of Sciences and the Chinese Academy of Sciences. This work is a contribution to IGCP Project 725 ‘Forecasting Coastal Change’. This work is Earth Observatory of Singapore contribution 421.

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J.S.W. contributed to the design of the research approach, led the research and data analysis, and wrote the first draft of the paper. R.E.K. contributed to the design of the research approach, to the data analysis, and to the writing of the paper. C.M.L. contributed to the data analysis and to the writing of the paper. B.P.H. contributed to the data analysis and to the writing of the paper.

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Correspondence to Jennifer S. Walker.

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Walker, J.S., Kopp, R.E., Little, C.M. et al. Timing of emergence of modern rates of sea-level rise by 1863. Nat Commun 13, 966 (2022).

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