Projected changes in extreme snowfall events over the Tibetan Plateau based on a set of RCM simulations

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric and Oceanic Science Letters Pub Date : 2024-09-01 DOI:10.1016/j.aosl.2023.100446
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Abstract

Extreme snowfall events over the Tibetan Plateau (TP) cause considerable damage to local society and natural ecosystems. In this study, the authors investigate the projected changes in such events over the TP and its surrounding areas based on an ensemble of a set of 21st century climate change projections using a regional climate model, RegCM4. The model is driven by five CMIP5 global climate models at a grid spacing of 25 km, under the RCP4.5 and RCP8.5 pathways. Four modified ETCCDI extreme indices—namely, SNOWTOT, S1mm, S10mm, and Sx5day—are employed to characterize the extreme snowfall events. RegCM4 generally reproduces the spatial distribution of the indices over the region, although with a tendency of overestimation. For the projected changes, a general decrease in SNOWTOT is found over most of the TP, with greater magnitude and better cross-simulation agreement over the eastern part. All the simulations project an overall decrease in S1mm, ranging from a 25% decrease in the west and to a 50% decrease in the east of the TP. Both S10mm and Sx5day are projected to decrease over the eastern part and increase over the central and western parts of the TP. Notably, S10mm shows a marked increase (more than double) with high cross-simulation agreement over the central TP. Significant increases in all four indices are found over the Tarim and Qaidam basins, and northwestern China north of the TP. The projected changes show topographic dependence over the TP in the latitudinal direction, and tend to decrease/increase in low-/high-altitude areas.

摘要

基于RegCM4区域气候模式的气候变化预估试验数据, 开展了青藏高原及其周边地区极端降雪事件的未来变化研究. 结果表明, 总降雪量在高原大部分地区呈减少趋势, 降雪日数在高原也将明显减少, 尤其是在东部. 大雪日数和五日最大降雪量在高原东部将减少, 而在中部和西部明显增加. 在高原周边的塔里木和柴达木盆地及中国西北地区, 极端降雪事件同样增加显著. 极端降雪事件在高原上呈现出东西方向上的地形依赖性, 在低/高海拔地区呈减少/增加趋势.

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基于一套区域气候变化模型模拟的青藏高原极端降雪事件的预测变化
青藏高原(TP)上的极端降雪事件给当地社会和自然生态系统造成了巨大损失。在本研究中,作者利用区域气候模式 RegCM4,根据一组 21 世纪气候变化预测组合,研究了青藏高原及其周边地区极端降雪事件的预测变化。在 RCP4.5 和 RCP8.5 路径下,该模型由网格间距为 25 千米的五个 CMIP5 全球气候模型驱动。模型采用了四个修正的 ETCCDI 极端指数(即 SNOWTOT、S1mm、S10mm 和 Sx5day)来描述极端降雪事件。RegCM4 总体上再现了这些指数在该地区的空间分布,但有高估的趋势。就预测变化而言,在大部分热带降雨地区,SNOWTOT 普遍下降,东部地区降雪量更大,交叉模拟的一致性更好。所有模拟都预测 S1mm 会全面减少,从大洋洲西部减少 25% 到东部减少 50% 不等。预计 S10mm 和 Sx5day 都将在大洋洲东部地区减少,而在中部和西部地区增加。值得注意的是,S10mm 显著增加(超过一倍),与大洋洲中部的交叉模拟结果高度一致。在塔里木盆地和柴达木盆地以及大洋洲北部的中国西北地区,所有四个指数都有显著增加。预测的变化在纬度方向上显示出与大洋洲地形的相关性,在低海拔/高海拔地区有减少/增加的趋势。摘要基于 RegCM4 区域气候模式的气候变化预估试验数据,开展了青藏高原及其周边地区极端降雪事件的未来变化研究。结果表明, 总降雪量在高原大部分地区呈减少趋势, 降雪日数在高原也将明显减少, 尤其是在东部。大雪日数和五日最大降雪量在高原东部将减少, 而在中部和西部明显增加。在高原周边的塔里木和柴达木盆地及中国西北地区,极端降雪事件同样增加显著。极端降雪事件在高原上呈现出东西方向上的地形依赖性, 在低/高海拔地区呈减少/增加趋势。
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来源期刊
Atmospheric and Oceanic Science Letters
Atmospheric and Oceanic Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.20
自引率
8.70%
发文量
925
审稿时长
12 weeks
期刊最新文献
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