Subseasonal Potential Predictability of Horizontal Water Vapor Transport and Precipitation Extremes in the North Pacific

Timothy B. Higgins, Aneesh C. Subramanian, Will E. Chapman, D. Lavers, Andrew C. Winters
{"title":"Subseasonal Potential Predictability of Horizontal Water Vapor Transport and Precipitation Extremes in the North Pacific","authors":"Timothy B. Higgins, Aneesh C. Subramanian, Will E. Chapman, D. Lavers, Andrew C. Winters","doi":"10.1175/waf-d-23-0170.1","DOIUrl":null,"url":null,"abstract":"\nAccurate forecasts of weather conditions have the potential to mitigate the social and economic damages they cause. To make informed decisions based on forecasts, it is important to determine the extent to which they could be skillful. This study focuses on subseasonal forecasts out to a lead time of four weeks. We examine the differences between the potential predictability, which is computed under the assumption of a “perfect model”, of integrated vapor transport (IVT) and precipitation under extreme conditions in subseasonal forecasts across the northeast Pacific. Our results demonstrate significant forecast skill of extreme IVT and precipitation events (exceeding the 90th percentile) into week 4 for specific areas, particularly when anomalously wet conditions are observed in the true model state. This forecast skill during weeks 3 and 4 is closely associated with a zonal extension of the North Pacific Jet. These findings of the source of skillful subseasonal forecasts over the US West Coast could have implications for water management in these regions susceptible to drought and flooding extremes. Additionally, they may offer valuable insights for governments and industries on the US West Coast seeking to make informed decisions based on extended weather prediction.","PeriodicalId":509742,"journal":{"name":"Weather and Forecasting","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Weather and Forecasting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1175/waf-d-23-0170.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Accurate forecasts of weather conditions have the potential to mitigate the social and economic damages they cause. To make informed decisions based on forecasts, it is important to determine the extent to which they could be skillful. This study focuses on subseasonal forecasts out to a lead time of four weeks. We examine the differences between the potential predictability, which is computed under the assumption of a “perfect model”, of integrated vapor transport (IVT) and precipitation under extreme conditions in subseasonal forecasts across the northeast Pacific. Our results demonstrate significant forecast skill of extreme IVT and precipitation events (exceeding the 90th percentile) into week 4 for specific areas, particularly when anomalously wet conditions are observed in the true model state. This forecast skill during weeks 3 and 4 is closely associated with a zonal extension of the North Pacific Jet. These findings of the source of skillful subseasonal forecasts over the US West Coast could have implications for water management in these regions susceptible to drought and flooding extremes. Additionally, they may offer valuable insights for governments and industries on the US West Coast seeking to make informed decisions based on extended weather prediction.
北太平洋水平水汽输送和极端降水的亚季节潜在可预测性
对天气状况的准确预报有可能减轻其造成的社会和经济损失。要根据预报做出明智的决策,就必须确定预报的熟练程度。本研究的重点是提前期为四周的亚季节预报。我们研究了在 "完美模式 "假设下,东北太平洋次季节预报中极端条件下综合水汽输送(IVT)和降水的潜在可预测性之间的差异。我们的结果表明,在第 4 周,特定地区的极端 IVT 和降水事件(超过第 90 百分位数)的预报能力很强,特别是在真实模式状态下观测到异常湿润条件时。第 3 周和第 4 周的这种预报技能与北太平洋喷流的带状延伸密切相关。这些关于美国西海岸亚季节预报技能来源的发现可能会对这些易受干旱和洪水极端影响地区的水资源管理产生影响。此外,这些发现还可能为美国西海岸的政府和行业提供有价值的见解,帮助他们根据扩展天气预报做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信