CMIP6-HighResMIP中完全耦合模式和纯大气模式对热带气旋活动的不同未来变化和偏倚

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Fang Wang, Leying Zhang, Jiuwei Zhao
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引用次数: 0

摘要

大多数模式预估在未来气候情景下全球热带气旋(TC)频率呈减少趋势。然而,仅大气模式和全耦合模式在TC活动预估上的差异尚不清楚。本文利用CMIP6-HighResMIP数据,研究了气候变暖和El Niño-Southern涛动(ENSO)对未来TC活动的影响,包括TC发生频率(TCGF)和路径密度(TCTD)。结果显示,两种建模方法之间的TC活动预测存在显著差异,反映了大量的不确定性。完全耦合模式预测赤道太平洋的El Niño-like海表温度(SST)变暖,而仅大气模式显示La Niña-like变暖模式。这些不同的海温响应驱动了不同的大气环流异常,最终导致了气候和ENSO阶段不同的TCGF和TCTD变化。进一步的详细分析表明,El Niño-like或La Niña-like变暖模式属于两种极端条件。它显示了模拟海温偏差在不同模型之间的强烈传播。海温强度和ENSO模式的准确预估和模拟是减少这些模式中TC活动差异行为的关键。我们在数值模式中发现了三个关键区域,即中太平洋、副热带北太平洋东部和赤道东太平洋,它们可以调节响应ENSO的TC活动。这些发现为全球变暖和ENSO如何调节TC活动提供了重要见解,强调了模型配置在预测未来TC行为中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Distinct Future Changes and Biases of Tropical Cyclone Activities Between Fully-Coupled and Atmospheric-Only Models in the CMIP6-HighResMIP

Distinct Future Changes and Biases of Tropical Cyclone Activities Between Fully-Coupled and Atmospheric-Only Models in the CMIP6-HighResMIP

Distinct Future Changes and Biases of Tropical Cyclone Activities Between Fully-Coupled and Atmospheric-Only Models in the CMIP6-HighResMIP

Most models project a decreasing trend in global tropical cyclone (TC) frequency under future climate scenarios. However, discrepancies in TC activity projection between atmosphere-only and full-coupled models remain unclear. Here, we utilize the CMIP6-HighResMIP data to investigate future changes in TC activity, including TC genesis frequency (TCGF) and track density (TCTD), in response to climate warming and El Niño-Southern Oscillation (ENSO). Results reveal significant variability in TC activity projections between the two modeling approaches, reflecting substantial uncertainties. Fully-coupled models projected an El Niño-like sea surface temperature (SST) warming over the equatorial Pacific, while atmosphere-only models demonstrated a La Niña-like warming pattern. These contrasting SST responses drive diverse atmospheric circulation anomalies, eventually contributing to distinct TCGF and TCTD changes under climatology and during ENSO phases for future projections. Further detailed analysis reveals that the El Niño-like or La Niña-like warming patterns belong to two extreme conditions. It shows a strong spread of simulated SST biases across different models. The accurate projection and simulation of SST magnitudes and ENSO patterns are key to reducing the diverse behaviors of TC activities among these models. We detected three crucial regions, the central Pacific, the subtropical eastern North Pacific, and the equatorial eastern Pacific, that could modulate TC activity in response to ENSO in numerical models. These findings provide critical insights into how global warming and ENSO modulate TC activities, highlighting the importance of model configuration in predicting future TC behavior.

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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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