CMIP6 projections of surface latent heat flux over the North Indian Ocean

IF 2.8 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Pravat Rabi Naskar, Mrutyunjay Mohapatra, Gyan Prakash Singh
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Abstract

This study has been undertaken to predict the Surface Latent Heat Flux (SLHF) over the North Indian Ocean (NIO) in the future period (2020–2099) under different emission scenarios. For this 12 Coupled Model Inter-comparison Project 6 (CMIP6), Global Climate Models (GCMs) SLHF and ERA5 SLHF data have been used. It is observed that the SLHF is going to increase in the far future (2060–2099) under all emission scenarios probably due to higher warming. In the near future (2020–2059) particularly in the first half (2020–2039) a clear fall in the SLHF is noticed. It is also observed that the SLHF rise under the Shared Socioeconomic Pathways 5 (SSP5) is more than that under the SSP2 in the far future due to higher warming. Seasonal variation of the SLHF depicts that under SSP5 in the far future, the rise in the SLHF is the maximum in MAM. The rise of the SLHF in the far future can be attributed to the rise in the SST over the NIO but the reason for the fall of the SLHF in the first half of the near future is not clear.

Abstract Image

CMIP6 对北印度洋表面潜热通量的预测
这项研究旨在预测未来时期(2020-2099 年)不同排放情景下北印度洋(NIO)上空的表面潜热通量(SLHF)。为此使用了 12 个耦合模式相互比较项目 6(CMIP6)、全球气候模式(GCMs)SLHF 和 ERA5 SLHF 数据。据观察,在所有排放情景下,远期(2060-2099 年)的 SLHF 都将增加,这可能是由于升温较快。在近期(2020-2059 年),特别是在前半期(2020-2039 年),SLHF 明显下降。还可以看到,在共同社会经济路径 5(SSP5)下,由于气候变暖,SLHF 的上升幅度在远期要大于 SSP2。水文学特征的季节性变化表明,在共同社会经济路径 5 下,水文学特征的上升幅度在远未来的 MAM 中最大。未来远期海平面上升可归因于北印度洋上空的海温上升,但未来近期前半期海平面下降的原因尚不清楚。
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来源期刊
Theoretical and Applied Climatology
Theoretical and Applied Climatology 地学-气象与大气科学
CiteScore
6.00
自引率
11.80%
发文量
376
审稿时长
4.3 months
期刊介绍: Theoretical and Applied Climatology covers the following topics: - climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere - effects of anthropogenic and natural aerosols or gaseous trace constituents - hardware and software elements of meteorological measurements, including techniques of remote sensing
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