Sea level projections
21st Century
Introduction
Sea-level rise is a central element in detecting, understanding, attributing
and correctly projecting climate change. During the 20th century, the oceans
have stored well over 80 per cent of the heat that has warmed the earth. The
associated thermal expansion of the oceans, together with changes in glaciers
and ice caps, will likely dominate 21st century sea level rise. However, there is increasing concern that the ice sheet contribution may be larger than previously estimated, and on
longer time scales, the ice sheets of Greenland and Antarctica have the largest
potential to contribute to significant changes in sea level.
Projections for the 21st Century
During the 21st century, sea level will continue to rise due to warming from both
past (20th century and earlier) and 21st century greenhouse gas emissions.
The most robust projections of 21st century sea-level rise are the Assessments of the
Intergovernmental Panel on Climate Change (IPCC) of 2001 and 2007.

Projected sea-level rise for the 21st century: The projected
range of global averaged sea-level rise from the IPCC 2001 Assessment Report (Church et al. 2001)
for the period 1990 to 2100 is shown by the lines and shading. The central dark shading
is an average of models for the range of SRES greenhouse gas emission scenarios. The
light shading is the range for all models and all SRES scenarios and the outer bold lines
include an allowance for land-ice uncertainty.
The updated AR4 IPCC projections of 2007 for the SRES scenarios (Meehl et al. 2007) are
shown by the bars plotted at 2095. The magenta (lighter) bar is the range of model projections
(90% confidence limits). Ocean thermal expansion and melting of glaciers and ice caps are
the largest contribution to this range. The red bar is a potential but
poorly quantified additional contribution from a dynamic response of the Greenland and
Antarctic ice sheets to global warming. Note that the IPCC AR4 states that "larger values
cannot be excluded, but understanding of these effects is too limited to assess their
likelihood or provide a best estimate or an upper bound for sea-level rise."
Estimates of the ocean thermal expansion are made with coupled
climate models for the range of SRES greenhouse gas emission scenarios.
Recent estimates indicate that non-polar glaciers and ice caps may contain only enough water
to raise sea level by 15 to 37 centimetres (Lemke et al. 2007). Melting of glaciers at lower altitude and latitude in
a warming climate will eventually result in significant reduction of the sizes of the glaciers
and thus a reduction in their contribution to the rate of sea-level rise. The largest contribution
is from large glaciers in regions with heavy precipitation, such as the coastal mountains around
the Gulf of Alaska, or Patagonia and Tierra del Fuego in South America. Many of these glaciers
flow into the sea or large lakes and melt quickly because the ice is close to melting
temperature.
For Greenland, both glacier calving and surface melting contribute to mass loss. Over the
last few decades surface melting has increased and now dominates over increased snowfall,
leading to a positive contribution to sea level during the 21st century (Lemke
et al. 2007).
For the majority of Antarctica, present and projected surface temperatures during the
21st century are too cold for significant melting to occur and precipitation is
balanced by glacier flow into the ocean. In climate change scenarios for the 21st
century, climate models project an increase in snowfall, resulting in increased storage of ice
in Antarctica, partially offsetting other contributions to sea-level rise. However, an
increase in precipitation has not been observed to date (Lemke et al. 2007).
In addition to these surface processes, there are suggestions of a potential dynamical
response (sliding of the outlet glaciers over the bedrock) of the Greenland and Antarctic
ice sheets. In Greenland, there was a significant increase in the flow rate of many of the
outlet glaciers during the early 21st century. One potential reason for this is
increasing surface melt making its way
to the base of the glaciers, lubricating their flow over the bed rock, consistent with
increased glacier flow rates. Another effect which may be becoming more important is that, as
the ice shelves around Antarctica and Greenland melt or break up (e.g. Larsen B) they allow
the glaciers behind them to flow faster, leading to increased flow into the ocean.
Time Series of Sea-Level Projections for the 21st Century
Unlike the IPCC TAR (2001), the AR4 (2007) does not provide time series of sea-level
projections through the 21st century, but does provide maximum and minimum projections for
the decade 2090-2099 (here termed '2095') and for the potential dynamic response of the
Greenland and Antarctic Ice Sheets. For 2095, the TAR and AR4 projections agree well at
the upper limit and but not so well at the lower limit, as shown on the above figure. To
estimate a time series of the maximum and minimum IPCC AR4 projections, Hunter (submitted)
scaled the equivalent TAR projections (from Table II.5 of the IPCC TAR, pp. 824-825). The
resulting scaled maximum and minimum values are in the tables below
(Hunter, 2008).
| Year |
A1B |
A1T |
A1FI |
A2 |
B1 |
B2 |
| 1990 |
0 |
0 |
0 |
0 |
0 |
0 |
| 2000 |
10 |
11 |
9 |
9 |
12 |
11 |
| 2010 |
21 |
23 |
19 |
20 |
26 |
24 |
| 2020 |
35 |
42 |
32 |
32 |
44 |
42 |
| 2030 |
55 |
63 |
48 |
47 |
64 |
63 |
| 2040 |
77 |
86 |
69 |
67 |
84 |
83 |
| 2050 |
102 |
112 |
96 |
89 |
105 |
103 |
| 2060 |
126 |
135 |
130 |
115 |
127 |
125 |
| 2070 |
150 |
156 |
165 |
142 |
145 |
146 |
| 2080 |
173 |
173 |
200 |
173 |
161 |
168 |
| 2090 |
192 |
186 |
234 |
203 |
175 |
190 |
| 2100 |
208 |
194 |
266 |
237 |
185 |
210 |
|
| Year |
A1B |
A1T |
A1FI |
A2 |
B1 |
B2 |
| 1990 |
0 |
0 |
0 |
0 |
0 |
0 |
| 2000 |
27 |
26 |
28 |
27 |
25 |
26 |
| 2010 |
59 |
59 |
60 |
60 |
56 |
58 |
| 2020 |
96 |
100 |
99 |
97 |
92 |
97 |
| 2030 |
143 |
149 |
146 |
139 |
132 |
142 |
| 2040 |
200 |
208 |
204 |
190 |
178 |
192 |
| 2050 |
266 |
272 |
278 |
251 |
227 |
247 |
| 2060 |
337 |
342 |
368 |
320 |
279 |
307 |
| 2070 |
413 |
413 |
471 |
401 |
333 |
369 |
| 2080 |
493 |
482 |
584 |
490 |
388 |
435 |
| 2090 |
571 |
548 |
701 |
588 |
444 |
504 |
| 2100 |
649 |
611 |
819 |
692 |
496 |
576 |
|
|
Table 1. Adjusted projections of sea-level (mm) for 5-percentile minima, derived by
adjusting the TAR projections to correspond to the AR4 projections at 2095. |
Table II. Adjusted projections of sea-level (mm) for 95-percentile maxima, derived
by adjusting the TAR projections to correspond to the AR4 projections at 2095. |
References
Church, J.A., J.M. Gregory, P. Huybrechts, M. Kuhn, K. Lambeck, M.T. Nhuan, D. Qin and
P.L. Woodworth (2001), Changes in Sea Level. Climate Change 2001: The Scientific Basis,
J.T. Houghton et al., Eds., Cambridge University Press, 639-694.
Hunter, J.R. (2008), Estimating Sea-Level Extremes Under Conditions of Uncertain Sea-Level
Rise. Submitted to Climatic Change)
Lemke, P., J. Ren, R.B. Alley, I. Allison, J. Carrasco, G. Flato, Y. Fujii, G. Kaser,
P. Mote, R.H. Thomas and T. Zhang (2007), Observations: Changes in Snow, Ice and Frozen
Ground. In: Climate Change 2007: The Physical Science Basis. Contribution of Working
Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
[Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller
(eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
Meehl, G. A., C. Covey, T. Delworth, M. Latif, B. McAvaney, J. F. B. Mitchell, R. J. Stouffer
and K. E. Taylor (2007), The WCRP CMIP3 multi-model dataset: A new era in climate change
research. Bulletin of the American Meteorological Society, 88,
1383-1394.
[top]
|