南半球亚季节到季节预测文献调查

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Steven Phakula, Willem A. Landman, Christien J. Engelbrecht
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引用次数: 0

摘要

由于需要在天气预报时间尺度和季节时间尺度之间进行预测,从副季节到季节(S2S)预测在最近的发展势头迅猛。有了 S2S 数据库,就可以对全球所有地区进行预测和可预测性研究。不过,大多数 S2S 研究都与北半球有关。本综述介绍了与南半球(SH)相关的 S2S 文献。讨论了预测技能、可预测性来源和 S2S 预测的应用。针对南半球地区的副季节可预报性研究表明,预报技能一般仅限于 2 周,尤其是气温和降雨这两个最常被研究的变量。不过,与降雨相比,气温的预测能力更强。需要对 SH 地区,尤其是南部非洲地区进行更多的 S2S 预测研究,包括量化可预测性来源和确定机会窗口。非洲大陆很容易受到与天气和气候有关的灾害的影响,而 S2S 预测可以帮助减轻这类灾害的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Literature survey of subseasonal-to-seasonal predictions in the southern hemisphere

Literature survey of subseasonal-to-seasonal predictions in the southern hemisphere

Subseasonal-to-seasonal (S2S) prediction has gained momentum in the recent past as a need for predictions between the weather forecasting timescale and seasonal timescale exists. The availability of S2S databases makes prediction and predictability studies possible over all the regions of the globe. Most S2S studies are, however, relevant to the northern hemisphere. In this review, the S2S literature relevant to the southern hemisphere (SH) are presented. Predictive skill, sources of predictability, and the application of S2S predictions are discussed. Indications from the subseasonal predictability studies for the SH regions suggest that predictive skill is limited to 2 weeks in general, particularly for temperature and rainfall, which are the variables most frequently investigated. However, temperature has enhanced skill compared to rainfall. More S2S prediction studies that include the quantification of the sources of predictability and the identification of windows of opportunity need to be conducted for the SH, particularly for the southern African region. The African continent is vulnerable to weather- and climate-related disasters, and S2S forecasts can assist in alleviating the risk of such disasters.

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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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