Intraseasonal and interannual variability of sea temperature in the Arabian Sea Warm Pool

IF 4.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Ocean Science Pub Date : 2023-10-17 DOI:10.5194/os-19-1437-2023
Na Li, Xueming Zhu, Hui Wang, Shouwen Zhang, Xidong Wang
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Abstract

Abstract. The Arabian Sea Warm Pool (ASWP) is a part of the Indian Ocean Warm Pool, formed in the Arabian Sea before the onset of the Indian summer monsoon. The ASWP has a significant impact on climate change in the Indian Peninsula and globally. In this study, we examined the intraseasonal and interannual variability of sea temperature in the ASWP using the latest Simple Ocean Data Assimilation (SODA) reanalysis dataset. We quantified the contributions of sea surface heat flux forcing, horizontal advection, and vertical entrainment to the sea temperature using the mixed-layer heat budget analysis method. We also used a lead–lag correlation method to examine the relationship between the interannual variability of the ASWP and various large-scale modes in the Indo-Pacific Ocean. We found that the ASWP formed in April and decayed in June; its formation and decay processes were asymmetrical, with the decay rate being twice as fast as the formation rate. During the ASWP development phase, the sea surface heat flux forcing had the largest impact on the mixed-layer temperature with a contribution of up to 85 %. Its impact was divided into the net surface heat flux (0.41–0.50 ∘C per 5 d) and the shortwave radiation loss penetrating the mixed layer (from −0.08 ∘C per 5 d to −0.17 ∘C per 5 d). During the decay phase, the cooling effect of the vertical entrainment on the temperature variation increased (from −0.05 ∘C per 5 d to −0.18 ∘C per 5 d) and dominated the temperature variation jointly with the sea surface heat flux forcing. We also found that the ASWP has strong interannual variability related to the basin warming of the Indian Ocean. The lead–lag correlation indicated that the ASWP had a good synchronous correlation with the Indian Ocean Dipole. The ASWP had the largest correlation coefficient at a lag of 5–7 months of the Niño3.4 index, showing the characteristics of modulation by the El Niño–Southern Oscillation (ENSO). When the El Niño (La Niña) event peaked in the winter of the previous year, the ASWP that occurred before the summer monsoon was more significant (insignificant) in the following year.
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阿拉伯海暖池海温的季节内和年际变化
摘要阿拉伯海暖池(ASWP)是印度洋暖池的一部分,形成于印度夏季风开始前的阿拉伯海。ASWP对印度半岛乃至全球气候变化具有重要影响。本研究利用最新的SODA再分析数据集分析了ASWP海温的季节内和年际变化。采用混合层热收支分析方法量化了海表热通量强迫、水平平流和垂直夹带对海温的贡献。我们还利用超前滞后相关方法研究了印度洋-太平洋各大尺度模态与ASWP年际变化的关系。我们发现ASWP在4月形成,6月衰减;它的形成和衰变过程是不对称的,衰变速度是形成速度的两倍。在ASWP发展阶段,海面热通量强迫对混合层温度的影响最大,贡献率高达85%。其影响分为净地表热通量(0.41-0.50°C / 5d)和穿透混合层的短波辐射损失(从- 0.08°C / 5d到- 0.17°C / 5d)。在衰减阶段,垂直夹带对温度变化的冷却作用增加(从- 0.05°C / 5d到- 0.18°C / 5d),并与海面热通量强迫共同主导温度变化。我们还发现,与印度洋盆地变暖有关的ASWP具有较强的年际变率。超前滞后相关表明,ASWP与印度洋偶极子具有较好的同步相关性。ASWP与Niño3.4指数滞后5 ~ 7个月的相关系数最大,表现出受El Niño-Southern涛动(ENSO)调制的特征。当El Niño (La Niña)事件在前一年冬季达到峰值时,发生在夏季风之前的ASWP在后一年更为显著(不显著)。
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来源期刊
Ocean Science
Ocean Science 地学-海洋学
CiteScore
5.90
自引率
6.20%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Ocean Science (OS) is a not-for-profit international open-access scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on all aspects of ocean science: experimental, theoretical, and laboratory. The primary objective is to publish a very high-quality scientific journal with free Internet-based access for researchers and other interested people throughout the world. Electronic submission of articles is used to keep publication costs to a minimum. The costs will be covered by a moderate per-page charge paid by the authors. The peer-review process also makes use of the Internet. It includes an 8-week online discussion period with the original submitted manuscript and all comments. If accepted, the final revised paper will be published online. Ocean Science covers the following fields: ocean physics (i.e. ocean structure, circulation, tides, and internal waves); ocean chemistry; biological oceanography; air–sea interactions; ocean models – physical, chemical, biological, and biochemical; coastal and shelf edge processes; paleooceanography.
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