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| DOI | 10.1038/s41467-021-22004-7 |
| Marginal ice zone fraction benchmarks sea ice and climate model skill | |
| Horvat C. | |
| 发表日期 | 2021 |
| ISSN | 2041-1723 |
| 卷号 | 12期号:1 |
| 英文摘要 | Global climate models (GCMs) consistently underestimate the response of September Arctic sea-ice area (SIA) to warming. Modeled SIA losses are highly correlated to global mean temperature increases, making it challenging to gauge if improvements in modeled sea ice derive from improved sea-ice models or from improvements in forcing driven by other GCM components. I use a set of five large GCM ensembles, and CMIP6 simulations, to quantify GCM internal variability and variability between GCMs from 1979–2014, showing modern GCMs do not plausibly estimate the response of SIA to warming in all months. I identify the marginal ice zone fraction (MIZF) as a metric that is less correlated to warming, has a response plausibly simulated from January–September (but not October–December), and has highly variable future projections across GCMs. These qualities make MIZF useful for evaluating the impact of sea-ice model changes on past, present, and projected sea-ice state. © 2021, The Author(s). |
| 语种 | 英语 |
| scopus关键词 | ice; climate modeling; global climate; marginal ice zone; numerical model; sea ice; simulation; Arctic Ocean; Article; benchmarking; global climate; sea ice; seasonal variation; simulation; warming |
| 来源期刊 | Nature Communications
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/250716 |
| 作者单位 | Brown University, Providence, RI, United States |
| 推荐引用方式 GB/T 7714 | Horvat C.. Marginal ice zone fraction benchmarks sea ice and climate model skill[J],2021,12(1). |
| APA | Horvat C..(2021).Marginal ice zone fraction benchmarks sea ice and climate model skill.Nature Communications,12(1). |
| MLA | Horvat C.."Marginal ice zone fraction benchmarks sea ice and climate model skill".Nature Communications 12.1(2021). |
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