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美国西部海岸和内陆树木年轮记录的水分异常，了解美国西海岸的极端冷季降水动态。一些地区以少量极端风暴为特征，这些风暴在沿海和更远的内陆地区表现出明显的降水空间模式。 基于这一观察，本研究将寻求开发树木气候证据的新颖应用，以探索以下问题：a）如何在树木年轮年表网络中表达极端降水变率； b) 该信息能否提供有关导致这些极端事件的风暴路径时空变化的见解； c) 如何对极端降水和风暴路径的联合变化进行建模，以对两者进行一致的、数百年的重建。更广泛的影响包括更好地了解极端降水事件的潜力，极端降水事件通过人员伤亡和财产损失造成了巨大的社会成本。造成重大财产损失。 社会使用针对历史极端降水变化而设计的风险缓解策略（例如基础设施、保险）来管理这一负担，这种变化是根据相对较短的仪器记录估计的，并且可能会在人为气候变化的情况下发生变化。该项目将帮助确定这些影响的频率、持续性、复发性和地理模式在过去在自然气候变化下如何变化。这将为了解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支持。外展工作将侧重于与洛杉矶县防洪区、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进行高层讨论。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。研究成果的创新可视化将通过哥伦比亚水中心提供给公众使用。

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