Climate Extremes and Variability Surrounding Chesapeake Bay: Past, Present, and Future

被引:18
作者
St. Laurent, Kari A. [1 ]
Coles, Victoria J. [2 ]
Hood, Raleigh R. [2 ]
机构
[1] Delaware Natl Estuarine Res Reserve, Delaware Dept Nat Resources & Environm Control Do, Delaware, OH USA
[2] Univ Maryland, Ctr Environm Sci Cambridge, Horn Point Lab, Cambridge, MD USA
来源
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION | 2022年 / 58卷 / 06期
基金
美国海洋和大气管理局;
关键词
climate variability; climate extreme change; National Estuarine Research Reserve System; Chesapeake Bay; SURFACE-TEMPERATURE; WATER-VAPOR; FROST DAYS; INDEXES; PRECIPITATION; OSCILLATION; PATTERNS; PACIFIC; IMPACTS; TRENDS;
D O I
10.1111/1752-1688.12945
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Measures of extreme climate variability around Chesapeake Bay have changed over the past century (1895-2014), resulting in the need to establish new baselines for understanding future change. Here, observed climate variability is compared with Coupled Model Intercomparison Project fifth assessment climate models to evaluate ensemble model skill in this region. Observed trends include annual and seasonal declines in the percentage of cold days. Similarly, increases in the annual and seasonal percentages of warm days occurred in all seasons of the North Chesapeake (>38.2 degrees N) but were only significant in spring and summer in the South (<38.2 degrees N) demonstrating regional differences even at local scales. Precipitation intensity increased over the past century. Models using emissions scenarios RCP4.5 and 8.5 project these trends will continue, though they have little skill in precipitation extremes. Pacific and Atlantic climate modes are generally more correlated with climate extremes than mean temperature and precipitation suggesting potential predictability in the synoptic patterns underlying the extremes. However, they also drive the need for time series at least 60-years long for establishing climate trends. This local analysis differs from regional, state level, and local 2.5 degrees x 3.75 degrees grid analyses, highlighting the importance of local climate assessments that consider topographic and regional weather patterns.
引用
收藏
页码:826 / 854
页数:29
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