Narrowing the uncertainty for deep-ocean injection efficiency
- 標題
- Narrowing the uncertainty for deep-ocean injection efficiency
- 作者
- James C. Orr, Olivier Aumont, Andrew Yool, Gian-Kasper Plattner, Fortunat Joos, Ernst Maier-Reimer, Marie-France Weirig, Reiner Schlitzer, Ken Caldeira, Michael E. Wickett, Richard J. Matear, Kryan K. Mignone, Jorge L. Sarmiento
- 文件屬性
- 國外期刊
- 知識分類
- 醫療保健
- 出版年
- 2005
- 刊名
- Greenhouse Gas Control Technologies 7
- 關鍵字
- uncertainty deep-ocean injection efficiency ocean model international project direct injection global tracer metric ocean general circulation model 3000-m injection efficiency model result site-specific efficiency century time scale uncertainty range global metric global injection efficiency deep ocean water global tracer criterion
- 點閱數
- 3340
摘要
Only ocean models can predict how efficient the ocean is in sequestering CO2 by direct injection. Data is not available to directly evaluate model results in this regard, due to the century time scales required for the deep ocean waters to mix and be brought back to the surface. Ten ocean general circulation models (OGCM) have been compared within the framework of an international project to obtain site-specific efficiencies and corresponding uncertainties. Here we show that across the range of models there is a correlation between global injection efficiency and global metrics for CFC-11, natural 14 14C. These correlations provide support for using these global tracer metrics to help narrow the uncertainty range for the 3000-m injection efficiency. After rejecting the models that do not meet these global tracer criteria, the range in efficiencies becomes four times narrower, dropping from 71±22 % to 70±6 % in year 2500.