Near‐surface wind profiles from numerical model predictions. Part II: Verifications against Australia‐wide surface wind observations

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Yimin Ma, Greg L. Roff, Susan J. Rennie, Peter J. Steinle, Hua Ye, Milton J. Woods
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引用次数: 0

Abstract

The new scheme for deriving the near‐surface wind profiles discussed in Ma (in review) is applied to an Australian Bureau of Meteorology operational convective scale model over various domains. Both the new and conventional schemes' diagnostic 10‐m winds are then verified against Australia‐wide automatic weather station observations. Analyses of bulk statistics reveal that the new scheme's 10‐m wind forecasts have generally better accuracy than the current conventional scheme with a consistent reduction of biases over all domains. A widely recognised diurnal bias pattern of surface wind speed over the land is substantially reduced, and the inclusion of Ekman spiral effect on the 10‐m wind marginally improves statistics of the wind direction during the nighttime. The new scheme introduces no systemic bias, given the histogram of a bulk mean bias is analogiased to a Gaussian distribution, and moves the distribution of diagnostic wind speed closer to that observed.
数值模型预测的近地表风廓线。第二部分:与全澳大利亚地表风观测数据的对比验证
Ma 所讨论的用于推导近地表风廓线的新方案(综述中)被应用于澳大利亚气象局在不同领域的对流尺度运行模型。然后,根据澳大利亚全境自动气象站的观测结果,对新方案和传统方案的 10 米诊断风进行了验证。对大量统计数据的分析表明,新方案的 10 米风速预报精度普遍高于当前的传统方案,并且在所有域中都持续减少了偏差。人们普遍认为的陆地表面风速昼夜偏差模式已大大减少,而将埃克曼螺旋效应纳入 10 米风速预报可略微改善夜间风向的统计数据。新方案没有引入系统偏差,因为大体平均偏差的直方图类似于高斯分布,并使诊断风速的分布更接近观测到的风速。
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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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