Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-18-0348.1 |
Processes Controlling Arctic and Antarctic Sea Ice Predictability in the Community Earth System Model | |
Ordonez, Ana C.; Bitz, Cecilia M.; Blanchard-Wrigglesworth, Edward | |
2018-12-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:23页码:9771-9786 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Sea ice predictability is a rapidly growing area of research, with most studies focusing on the Arctic. This study offers new insights by comparing predictability between the Arctic and Antarctic sea ice anomalies, focusing on the effects of regional differences in ice thickness and ocean dynamics. Predictability in simulated regional sea ice area and volume is investigated in long control runs of an Earth system model. Sea ice area predictability in the Arctic agrees with results from other studies, with features of decaying initial persistence and reemergence because of ocean mixed layer processes and memory in thick ice. In pan-Arctic averages, sea ice volume and the area covered by thick ice are the best predictors of September area for lead times greater than 2 months. In the Antarctic, area is generally the best predictor of future area for all times of year. Predictability of area in summer differs between the hemispheres because of unique aspects of the coupling between area and volume. Generally, ice volume only adds to the predictability of summer sea ice area in the Arctic. Predictability patterns vary greatly among different regions of the Arctic but share similar seasonality among regions of the Antarctic. Interactive ocean dynamics influence anomaly reemergence differently in the Antarctic than the Arctic, both for the total and regional area. In the Antarctic, ocean dynamics generally decrease the persistence of area anomalies, reducing predictability. In the Arctic, the presence of ocean dynamics improves ice area predictability, mainly through mixed layer depth variability. |
英文关键词 | Sea ice Climate models Coupled models |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000450407100003 |
WOS关键词 | LOW-FREQUENCY VARIABILITY ; SEASONAL TIMESCALES ; CLIMATE SYSTEM ; PREDICTION ; OCEAN ; INITIALIZATION ; ATMOSPHERE ; TRENDS ; EXTENT ; SKILL |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/19701 |
专题 | 气候变化 |
作者单位 | Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA |
推荐引用方式 GB/T 7714 | Ordonez, Ana C.,Bitz, Cecilia M.,Blanchard-Wrigglesworth, Edward. Processes Controlling Arctic and Antarctic Sea Ice Predictability in the Community Earth System Model[J]. JOURNAL OF CLIMATE,2018,31(23):9771-9786. |
APA | Ordonez, Ana C.,Bitz, Cecilia M.,&Blanchard-Wrigglesworth, Edward.(2018).Processes Controlling Arctic and Antarctic Sea Ice Predictability in the Community Earth System Model.JOURNAL OF CLIMATE,31(23),9771-9786. |
MLA | Ordonez, Ana C.,et al."Processes Controlling Arctic and Antarctic Sea Ice Predictability in the Community Earth System Model".JOURNAL OF CLIMATE 31.23(2018):9771-9786. |
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