Global S&T Development Trend Analysis Platform of Resources and Environment
项目编号 | 1934420 |
Interdisciplinary Workshop on 'Arctic Climate And Weather Extremes: Detection, Attribution, And Future Projection' | |
Emily Jack-Scott (Principal Investigator) | |
主持机构 | Aspen Global Change Institute |
项目开始年 | 2019 |
2019-09-01 | |
项目结束日期 | 2020-08-31 |
资助机构 | US-NSF |
项目类别 | Standard Grant |
项目经费 | 49334(USD) |
国家 | 美国 |
语种 | 英语 |
英文摘要 | The Aspen Global Change Institute (AGCI) will host a week-long interdisciplinary scientific workshop in Spring 2020 entitled "Arctic Climate and Weather Extremes: Detection, Attribution, and Future Projection". Participants will be tasked with the scientific objectives of a) providing improved insight into the fundamental processes of each climate system component involved in extreme events, b) synthesizing results to improve understanding of feedback processes across the climate system components, c) identifying existing key questions and knowledge gaps, and d) suggesting a way forward to improve our ability to predict and model extremes in the Arctic. To achieve these objectives, The PIs will employ AGCI's established workshop model to convene thirty data analysts, dynamicists, and modelers from the atmosphere, ocean, and sea ice communities. Participants will include early career scientists, and individuals from diverse and underrepresented backgrounds. The trajectory of Arctic climate system change has exhibited highly nonlinear behavior, as manifested by the increased frequency of occurrence of extreme events superimposed on a long-term trend towards a warmer mean state. The most recent, striking extreme events include occurrences of record minima of sea ice extent in the summers of 2007, 2012, and 2016, and record maxima of surface air temperatures in the winters of 2015/2016 and 2017/2018. However, Arctic climate change studies have predominantly focused on the long-term changes or trends using monthly, seasonal, or annual mean data. But extreme events generally occur intermittently for periods from days to several months as outliers of the long-term trends. Even for the extreme events that occur across longer time periods, monthly or seasonal mean data may not be able to resolve the underlying physics supporting their rapid development. It therefore still remains unclear why these extreme events occur, what their multi-scale driving mechanisms are, and where the source of their predictability exists. This workshop seeks to address these critical knowledge gaps. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. |
文献类型 | 项目 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/214241 |
专题 | 环境与发展全球科技态势 |
推荐引用方式 GB/T 7714 | Emily Jack-Scott .Interdisciplinary Workshop on 'Arctic Climate And Weather Extremes: Detection, Attribution, And Future Projection'.2019. |
条目包含的文件 | 条目无相关文件。 |
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