实时业务预报中赤道开尔文波的局部识别

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
João B. Cruz, José M. Castanheira, Carlos C. DaCamara
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引用次数: 0

摘要

赤道开尔文波(KWs)与多种赤道大气现象有关,即热带对流、云和降水变化、热带气旋生成、非洲和印度季风季节的开始,甚至准双年振荡和马登-朱利安振荡。因此,如果要改善热带附近的业务预报,就必须正确表示 KWs。本文旨在开发一种新方法,仅利用自由拉普拉斯潮汐方程解的子午结构(即 Hough 向量函数),在特定经度的实时业务预报中识别 KWs。这种新方法的主要优点是:(a)可以识别特定经度的KWs;(b)应用于实时业务预报所需的计算成本非常低。将该方法应用于2015-2017年欧洲中期天气预报中心(ECMWF)的分析和业务预报数据,发现ECMWF业务预报模型在表示KWs时存在系统性偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Local identification of equatorial Kelvin waves in real‐time operational forecasts

Local identification of equatorial Kelvin waves in real‐time operational forecasts
Equatorial Kelvin waves (KWs) are associated with a variety of equatorial atmospheric phenomena, namely, tropical convection, cloud and precipitation variability, tropical cyclogenesis, the onset of monsoon season over Africa and India, and even the quasi‐biennial oscillation and the Madden–Julian oscillation. As such, if operational forecasts are to improve near the Tropics, it is important that they correctly represent KWs. This article aims at developing a novel methodology for identifying KWs in real‐time operational forecasts at specific longitudes using only the meridional structures of the solutions to the free Laplace tidal equations, known as Hough vector functions. The main advantages of this newly proposed methodology are that (a) it can identify KWs at a specific longitude and (b) very low computational cost is needed to apply it to real‐time operational forecasts. The application of the method to 2015–2017 European Centre for Medium‐range Weather Forecasts (ECMWF) analysis and operational forecast data reveals a systematic bias in the representation of KWs by the ECMWF operational forecast model.
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来源期刊
CiteScore
16.80
自引率
4.50%
发文量
163
审稿时长
3-8 weeks
期刊介绍: The Quarterly Journal of the Royal Meteorological Society is a journal published by the Royal Meteorological Society. It aims to communicate and document new research in the atmospheric sciences and related fields. The journal is considered one of the leading publications in meteorology worldwide. It accepts articles, comprehensive review articles, and comments on published papers. It is published eight times a year, with additional special issues. The Quarterly Journal has a wide readership of scientists in the atmospheric and related fields. It is indexed and abstracted in various databases, including Advanced Polymers Abstracts, Agricultural Engineering Abstracts, CAB Abstracts, CABDirect, COMPENDEX, CSA Civil Engineering Abstracts, Earthquake Engineering Abstracts, Engineered Materials Abstracts, Science Citation Index, SCOPUS, Web of Science, and more.
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