| タイトル | Reducing Uncertainty in Chemistry Climate Model Predictions of Stratospheric Ozone |
| 本文（外部サイト） | http://hdl.handle.net/2060/20140011845 |
| 著者（英） | Douglass, A. R.; Oman, L. D.; Strahan, S. E.; Stolarski, R. S. |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2014-01-01 |
| 言語 | eng |
| 内容記述 | Chemistry climate models (CCMs) are used to predict the future evolution of stratospheric ozone as ozone-depleting substances decrease and greenhouse gases increase, cooling the stratosphere. CCM predictions exhibit many common features, but also a broad range of values for quantities such as year of ozone-return-to-1980 and global ozone level at the end of the 21st century. Multiple linear regression is applied to each of 14 CCMs to separate ozone response to chlorine change from that due to climate change. We show that the sensitivity of lower atmosphere ozone to chlorine change deltaO3/deltaCly is a near linear function of partitioning of total inorganic chlorine (Cly) into its reservoirs; both Cly and its partitioning are controlled by lower atmospheric transport. CCMs with realistic transport agree with observations for chlorine reservoirs and produce similar ozone responses to chlorine change. After 2035 differences in response to chlorine contribute little to the spread in CCM results as the anthropogenic contribution to Cly becomes unimportant. Differences among upper stratospheric ozone increases due to temperature decreases are explained by differences in ozone sensitivity to temperature change deltaO3/deltaT due to different contributions from various ozone loss processes, each with their own temperature dependence. In the lower atmosphere, tropical ozone decreases caused by a predicted speed-up in the Brewer-Dobson circulation may or may not be balanced by middle and high latitude increases, contributing most to the spread in late 21st century predictions. |
| NASA分類 | Meteorology and Climatology |
| レポートNO | GSFC-E-DAA-TN11791 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
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