Collaborative Research: P2C2--Inferring Spatio-Temporal Variations in the Risk of Extreme Precipitation in the Western United States from Tree Ring Chronologies

合作研究：P2C2——从树木年轮推断美国西部极端降水风险的时空变化

• 批准号: 1702273
• 负责人: Scott Steinschneider
• 金额: $ 32.05万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1702273&HistoricalAwards=false
• 关键词: Collaborative; Research; P2C2; Inferring; Spatio

This project aims to understand extreme cold-season precipitation dynamics along the west coast of the United States through an analysis of the moisture anomalies recorded by tree-ring chronologies across the coast and interior of the western U.S. Winters with high total precipitation amounts in the coastal regions are marked by a small number of extreme storms that exhibit distinct spatial patterns of precipitation across the coast and further inland. Building from this observation, this research will seek to develop a novel application of dendroclimatic evidence to explore the following questions: a) how is extreme precipitation variability expressed in a network of tree-ring chronologies; b) can this information provide insight on the space-time variability of storm tracks that cause these extreme events; and c) how can the joint variability of extreme precipitation and storm tracks be modeled to develop consistent, multi-centennial reconstructions of both.The broader impacts include the potential to better understand extreme precipitation events which exert significant social costs through both loss of life and substantial damage to property. Society manages this burden using risk mitigation strategies (e.g., infrastructure, insurance) designed for historic extreme precipitation variability that is estimated from relatively short instrumental records and may be changing under anthropogenic climate change. This project will help determine how the frequency, persistence, recurrence and geographic pattern of these impacts have varied in the past under natural climate variability. This will provide important insights into the causes of these shifts and the potential for predictability in the future. This project also provides support for graduate and post-doctoral researchers.Outreach efforts will focus on high-level discussions with the L.A. County Flood Control District, U.S. Army Corps of Engineers, and related agencies that manage extreme event risk in the region. This direct engagement will enhance the application of the research products, as well as provide guidance for their design. Innovative visualizations of research output will be made available through the Columbia Water Center for public use.

该项目旨在通过分析沿海地区的树环和西部冬季的林木记录记录的水分异常来了解美国西海岸的极端寒冷降水动力学，在沿海地区的总降水量很高，其标志着少数极端风暴的降水量，这些降水量较高，这些风暴少见了少数众多的沿海和沿海地区和沿海地区的空间降水模式。 根据这一观察结果，这项研究将寻求开发一种新颖的树状气候证据，以探讨以下问题：a）在树环时间段内如何表达极端降水可变性； b）这些信息是否可以提供有关导致这些极端事件的风暴轨迹的时空变异性的见解； c）如何建模极端降水和风暴轨迹的联合变异性，以发展两者的一致，多年的重建。更广泛的影响包括更好地了解极端降水事件的潜力，这些事件通过丧失生命和对财产的实质性损害造成了重大的社会成本。 社会使用降低风险策略（例如，基础设施，保险）来管理这种负担，该策略是为历史性的极端降水可变性而设计的，该降水可变性是根据相对较短的工具记录估算的，并且可能在人为气候变化下正在变化。该项目将有助于确定这些影响的频率，持久性，复发和地理模式如何在自然气候变化下有所不同。这将为这些转变的原因以及未来可预测性的潜力提供重要的见解。 该项目还为研究生和博士后研究人员提供了支持。Utreach的工作将重点介绍与洛杉矶县洪水控制区，美国陆军工程兵团以及管理该地区极端事件风险的相关机构的高级讨论。这种直接参与将增强研究产品的应用，并为其设计提供指导。研究产出的创新可视化将通过哥伦比亚水中心提供公共用途。

项目成果

A 500-Year Tree Ring-Based Reconstruction of Extreme Cold-Season Precipitation and Number of Atmospheric River Landfalls Across the Southwestern United States

基于 500 年树轮的美国西南部极端寒冷季节降水量和大气河流登陆数量的重建

• DOI: 10.1029/2018gl078089
• 发表时间: 2018
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Steinschneider, Scott;Ho, Michelle;Williams, A. Park;Cook, Edward R.;Lall, Upmanu
• 通讯作者: Lall, Upmanu

A Weather‐Regime‐Based Stochastic Weather Generator for Climate Vulnerability Assessments of Water Systems in the Western United States

• DOI: 10.1029/2018wr024446
• 发表时间: 2019-08
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: S. Steinschneider;P. Ray;Saiful Haque Rahat;J. Kucharski

Identifying weather regimes for regional‐scale stochastic weather generators

• DOI: 10.1002/joc.6969
• 发表时间: 2020-12
• 期刊: International Journal of Climatology
• 作者: N. Najibi;S. Mukhopadhyay;S. Steinschneider

Reconstructing Extreme Precipitation in the Sacramento River Watershed Using Tree‐Ring Based Proxies of Cold‐Season Precipitation

使用基于树环的寒冷季节降水代理重建萨克拉门托河流域的极端降水

• DOI: 10.1029/2020wr028824
• 发表时间: 2021
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: Borkotoky, Swatah Snigdha;Williams, A. Park;Cook, Edward R.;Steinschneider, Scott
• 通讯作者: Steinschneider, Scott