Predictability of the Onset of the Rainy Season Across Thailand: Mechanisms and Non-Stationary Behaviour

IF 3.5 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Vincent Moron, Chalump Oonariya, Chaowat Siwapornchai, John L. McBride
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Abstract

The onset of the rainy season across 36 stations of Thailand is analysed from 1951 to 2022. The country-scale mean onset occurs in late April with an interannual standard deviation of 11.5 days. It tends to be anomalously late (respectively, early) during decaying warm (respectively, cold) El Niño Southern Oscillation (ENSO) events. Warm ENSO events delay the onset through a deep anticyclonic anomaly over the western North Pacific, intensification of the southern margins of the subtropical westerly jet, sustained easterly low-level anomalies north of the equator and an anomalous anticyclonic circulation combined with in situ cold sea surface temperature (SST) anomalies over the tropical NW Pacific. The predictability of the country-scale onset from February or March SST is large and statistically significant from ~1980, suggesting a high level of confidence for operational forecasts. However, the analysis of 1950–1970s reveals a lack of stationarity to the extent that the SST–onset relationships were then hardly present. Consistently, the spatial coherence of the local-scale onset as well as its predictability and its interannual variability all increase from the start to the end of the period. This non-stationarity seems fundamentally due to a change in the seasonal structure of the decay of warm ENSO events themselves, that is, from ~1980 onwards, they last longer retaining warm equatorial Eastern Pacific SST anomalies through the boreal spring, while the decaying cold ENSO events have undergone no clear change in seasonality. In consequence, in recent decades, the warm ENSO events significantly impact the April–May atmospheric structure over South East Asia, thus delaying the rainy season onset across Thailand. A long-term significant warming SST has occurred over the tropical North West Pacific, which may potentially reduce the impact of warm ENSO events by reducing the in situ anticyclonic anomaly.

Abstract Image

泰国雨季开始的可预测性:机制和非平稳行为
本文分析了1951年至2022年泰国36个气象站雨季的开始情况。全国平均发病时间为4月下旬,年际标准差为11.5天。在厄尔尼诺Niño南方涛动(ENSO)变暖(分别变冷)期间,它往往异常晚(分别变早)。温暖的ENSO事件通过北太平洋西部的深层反气旋异常、副热带西风急流南缘的增强、赤道北部持续的偏东低空异常以及热带西北太平洋上空反气旋环流异常与原位冷海表温度(SST)异常相结合而延迟了爆发。从~1980年开始,2月或3月海温的国家尺度可预测性很大,且具有统计显著性,表明业务预报具有很高的可信度。然而,1950 - 70年代的分析显示,在某种程度上缺乏平稳性,以至于当时几乎不存在海温开始的关系。从始至终,局地尺度的空间相干性、可预测性和年际变率均呈增加趋势。这种非平稳性的根本原因似乎是暖性ENSO事件本身衰减的季节结构发生了变化,即从~1980年开始,它们在整个北方春季持续保持赤道东太平洋温暖海温异常的时间更长,而衰减的冷性ENSO事件在季节性上没有明显的变化。因此,近几十年来,温暖的ENSO事件显著影响了东南亚4 - 5月的大气结构,从而推迟了泰国雨季的到来。热带西北太平洋上空出现了一个长期显著变暖的海温,这可能通过减少原位反气旋异常而潜在地减少温暖ENSO事件的影响。
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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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