Collaborative Research: Analysis and attribution of changes in Siberian hydroclimate and implications for the future

合作研究：西伯利亚水文气候变化的分析和归因及其对未来的影响

• 批准号: 0909272
• 负责人: Mathew Barlow
• 金额: $ 17.52万
• 依托单位: University of Massachusetts Lowell
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0909272&HistoricalAwards=false
• 关键词: Collaborative; Research; Analysis; attribution; changes

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This work will document observed changes in the hydroclimatology of the Siberian region, attribute these changes to specific physical mechanisms in the context of climate change, and study the impact of those changes from the regional to the hemispheric weather and climate. The project will use observational analysis and modeling experiments to investigate the links between arctic sea ice trends and changes to seasonal snow cover. The autumn snow cover is of particular interest due to its persistent increases over the last two decades despite the robust warming trend and its connection to stratosphere-troposphere coupling and hemispheric variability in the subsequent winter season and that while fall snow cover has been increasing, spring snow cover has been decreasing. This work will explore the links to sea ice in terms of changes to moisture transport, synoptic activity, and soil moisture and the links to the large scale atmospheric dynamics in terms of changes to the timing and occurrence of stratosphere-troposphere coupling events. This will make it possible to evaluate better the feedback mechanisms associated with snow cover and the atmosphere, and should lead to a quantitative assessment of future trends in the Arctic. The likely influence of snow and ice cover on future global temperature trends highlights the importance of developing a fundamental understanding of regional surface-atmosphere water and energy exchange dynamics of the arctic regions. Observed data will include both remote sensing and station observations (snow cover extent of CPC/Rutgers University, snow depth, humidity and temperature data from the Russian Hydrometeorological network, and corrected precipitation) and data from NCEP/NCAR and ECMWF reanalyses. This work should result in an improved understanding of arctic climate feedback mechanisms, their association with observed past and modeled future trends, and their influence on weather and climate on a hemispheric scale.

该奖项是根据2009年《美国复苏与再投资法》（公法111-5）资助的。这项工作将记录到西伯利亚地区的氢化气候变化，将这些变化归因于气候变化的特定物理机制，并研究这些变化从区域到半球天气和气候的影响。该项目将使用观察分析和建模实验来研究北极海冰趋势与季节性积雪之间的联系。秋天的积雪特别令人感兴趣，因为在过去的二十年中，尽管其持续的变暖趋势以及与平流层 - 对流层耦合的持续增长以及随后冬季的半球变异性的联系，并且尽管秋天的雪覆盖率一直在增加，但春季雪覆盖量一直在下降。这项工作将在水分传输，天气活动和土壤水分的变化方面探索与海冰的联系，以及与大规模大气动力学的联系，就平流层 - 对流层耦合事件的时间和发生的变化而言。这将使能够更好地评估与积雪和大气相关的反馈机制，并应导致对北极未来趋势的定量评估。雪和冰覆盖对未来全球温度趋势的可能影响强调了对北极地区区域地表 - 大气水和能量交换动力学的基本了解的重要性。观察到的数据将包括遥感和站点观测（CPC/Rutgers University的积雪范围，雪深，湿度，湿度和温度数据，来自俄罗斯水文学网络，校正的降水）以及NCEP/NCAR和ECMWF Reanalyses的数据。这项工作应提高人们对北极气候反馈机制的了解，它们与观察到的过去和建模的未来趋势的关联，以及它们对半球规模上对天气和气候的影响。