美国月平均地表温度与龙卷风日数的关系

IF 8.5 1区地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES

npj Climate and Atmospheric Science Pub Date : 2025-03-24 DOI:10.1038/s41612-025-00993-2

Kimberly A. Hoogewind, Vittorio A. Gensini, Harold E. Brooks

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引用次数: 0

摘要

研究了1954-2022年美国几个连续地区逐月F-1+龙卷风和龙卷风日数与逐月地表温度趋势的相关性。这一相对简单但可靠的分析表明，在某些月份和某些地区，区域温度波动与龙卷风日数有中等到强烈的相关性。总体上，寒带冷（暖）季地表温度与龙卷风日数呈正（负）相关。讨论了使用连续的、简单的标量变量（如地表温度）进行龙卷风预测的意义，以及了解由于气候变率和变化而导致的龙卷风频率变化的潜在效用。

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On the relationship between monthly mean surface temperature and tornado days in the United States

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On the relationship between monthly mean surface temperature and tornado days in the United States

Correlation was examined between detrended monthly surface temperature and monthly [E]F-1+ tornadoes and tornado days for several contiguous US regions during the period 1954–2022. This relatively simple, yet robust, analysis indicated that regional temperature fluctuations are moderately-to-strongly correlated with tornado days during some months and in certain regions. In general, surface temperatures during boreal cool (warm) season had a positive (negative) correlation with tornado days. Implications for using a continuous, simple scalar variable such as surface temperature for tornado prediction are discussed, as well as the potential utility for understanding changes in tornado frequency due to climate variability and change.

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来源期刊

npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science

CiteScore

8.80

自引率

3.30%

发文量

审稿时长

21 weeks

期刊介绍： npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.