{"title":"Long-term trends in heat wave gaps for the New York City metropolitan area","authors":"Anthony Lin, Brian A. Colle","doi":"10.1016/j.uclim.2024.102247","DOIUrl":null,"url":null,"abstract":"Heat waves occurring in close succession to one another are hazardous because of the prolonged stress on the human body and energy demand. A heat wave gap metric, the time between two adjacent heat wave events, was utilized to examine the gap length and frequency trend for several stations around New York City (NYC) during the last several decades. From 1961 to 1990 to 1991–2020, the average heat wave gap for the various stations decreased by 15–41 %, the number of short gaps (≤5 days) increased by 33–300 %, while the number of long gaps (>5 days) remained relatively constant. K-means, a clustering algorithm, applied to the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) daily reanalysis data was used to identify flow patterns associated with the short and long gaps. The leading short-gap pattern started with a weak cold front that ended the heat wave, while a highly amplified upper ridge over the central U.S. and a westward extension of a surface high pressure over the southeast U.S. advected warm air to the Northeast U.S. over the next few days to start another heat wave. The leading two long-gap patterns were associated with a stronger surface cold front, a weaker central U.S. upper ridge, and a deeper eastern U.S. upper trough.","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"54 1","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Climate","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.uclim.2024.102247","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Heat waves occurring in close succession to one another are hazardous because of the prolonged stress on the human body and energy demand. A heat wave gap metric, the time between two adjacent heat wave events, was utilized to examine the gap length and frequency trend for several stations around New York City (NYC) during the last several decades. From 1961 to 1990 to 1991–2020, the average heat wave gap for the various stations decreased by 15–41 %, the number of short gaps (≤5 days) increased by 33–300 %, while the number of long gaps (>5 days) remained relatively constant. K-means, a clustering algorithm, applied to the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) daily reanalysis data was used to identify flow patterns associated with the short and long gaps. The leading short-gap pattern started with a weak cold front that ended the heat wave, while a highly amplified upper ridge over the central U.S. and a westward extension of a surface high pressure over the southeast U.S. advected warm air to the Northeast U.S. over the next few days to start another heat wave. The leading two long-gap patterns were associated with a stronger surface cold front, a weaker central U.S. upper ridge, and a deeper eastern U.S. upper trough.
期刊介绍:
Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following:
Urban meteorology and climate[...]
Urban environmental pollution[...]
Adaptation to global change[...]
Urban economic and social issues[...]
Research Approaches[...]