Towards regional projections of twenty-first century sea-level change based on IPCC SRES scenarios

被引:191
作者
Slangen, A. B. A. [1 ]
Katsman, C. A. [2 ]
van de Wal, R. S. W. [1 ]
Vermeersen, L. L. A. [3 ]
Riva, R. E. M.
机构
[1] Univ Utrecht, Inst Marine & Atmospher Res, NL-3584 CC Utrecht, Netherlands
[2] Royal Netherlands Meteorol Inst KNMI, NL-3730 AE De Bilt, Netherlands
[3] Delft Univ Technol, Fac Aerosp Engn, NL-2629 HS Delft, Netherlands
关键词
Regional sea level; Sea-level projections; Climate change; CLIMATE-CHANGE; COUPLED MODEL; MASS-BALANCE; GLACIER; RISE; AREA; COLLAPSE; VARIABILITY; SIMULATION; SATELLITE;
D O I
10.1007/s00382-011-1057-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Sea-level change is often considered to be globally uniform in sea-level projections. However, local relative sea-level (RSL) change can deviate substantially from the global mean. Here, we present maps of twenty-first century local RSL change estimates based on an ensemble of coupled climate model simulations for three emission scenarios. In the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4), the same model simulations were used for their projections of global mean sea-level rise. The contribution of the small glaciers and ice caps to local RSL change is calculated with a glacier model, based on a volume-area approach. The contributions of the Greenland and Antarctic ice sheets are obtained from IPCC AR4 estimates. The RSL distribution resulting from the land ice mass changes is then calculated by solving the sea-level equation for a rotating, elastic Earth model. Next, we add the pattern of steric RSL changes obtained from the coupled climate models and a model estimate for the effect of Glacial Isostatic Adjustment. The resulting ensemble mean RSL pattern reveals that many regions will experience RSL changes that differ substantially from the global mean. For the A1B ensemble, local RSL change values range from -3.91 to 0.79 m, with a global mean of 0.47 m. Although the RSL amplitude differs, the spatial patterns are similar for all three emission scenarios. The spread in the projections is dominated by the distribution of the steric contribution, at least for the processes included in this study. Extreme ice loss scenarios may alter this picture. For individual sites, we find a standard deviation for the combined contributions of approximately 10 cm, regardless of emission scenario.
引用
收藏
页码:1191 / 1209
页数:19
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