热带气旋起源的盆地依赖性环境和机器学习方法揭示的可能的未来变化
QiFeng Qian1,2, YeFeng Chen1, XiaoJing Jia2
1Zhejiang Institute of Meteorological Science, HangZhou, Zhejiang, China.
iScience
|February 6, 2025
概括
热带气旋 (TC) 的起源取决于盆地,在北大西洋中绝对的旋转率至关重要. 机器学习模型预测未来的趋势,显示全球气候变化对TC环境的影响,北大西洋受到影响最小.
科学领域:
- 大气科学 大气科学
- 气候科学 气候科学
- 气象学 天气学
背景情况:
- 热带气旋 (TC) 起源机制尚未完全理解,这阻碍了准确的气候变化影响预测.
- 了解盆地特定的TC起源对于气候变化适应和减缓战略至关重要.
研究的目的:
- 分析不同海洋盆地的热带气旋起源环境.
- 在未来的气候场景下开发TC起源的预测模型.
- 评估气候变化对全球TC起源环境的影响.
主要方法:
- 主要组件分析 (PCA),信心圆和相关性圆被用来分析TC起源环境.
- 海洋盆地使用PCA被分为三组.
- 三个MaxEnt机器学习 (ML) 模型被开发用于TC起源预测.
主要成果:
- 热带气旋的起源在很大程度上取决于盆地,绝对的旋转是北大西洋 (NA) 的主要驱动因素.
- 机器学习模型在未来情景下预测了一致的,盆地特定的TC起源趋势.
- 多变量环境相似性分析揭示了全球气候变化对TC起源环境的重大影响,NA呈现最弱的变化.
结论:
- 绝对的旋转在热带气旋起源中起着至关重要的作用.
- 在影响TC起源的当前和未来环境变化中存在明显的盆地特定差异.
- 这项研究强调了机器学习在预测气候变化对热带气旋的影响方面的实用性.
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