Recent advancements for tropical cyclone data assimilation,Annals of the New York Academy of Sciences

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Recent advancements for tropical cyclone data assimilation
Annals of the New York Academy of Sciences ( IF 4.1 ) Pub Date : 2022-08-17 , DOI: 10.1111/nyas.14873
Hui Christophersen ₁ , Jason Sippel ₂ , Altug Aksoy _{2,

3} , Nancy L Baker ₁

Affiliation

In this review, data assimilation (DA) techniques used for tropical cyclones (TCs) are briefly overviewed. The strength and weakness of variational methods, ensemble methods, hybrid methods, and particle filter methods are also discussed. Several global numerical weather prediction models and their corresponding DA systems frequently used for TC forecasting and verification are described first. The DA research and development efforts in the operational regional model from the National Centers for Environmental Prediction's Hurricane Weather Research and Forecasting are then discussed in greater detail. Focused remarks on TC observations from reconnaissance, ground-based radar, enhanced satellite-derived atmospheric motion vectors and all-sky satellite radiances and their impacts on TC analyses and forecasts are addressed. Recent TC DA advancements and challenges on better use of observations and more advanced DA methods for TC application are also briefly reviewed.

中文翻译：

热带气旋资料同化的最新进展

在这篇综述中，简要概述了用于热带气旋 (TC) 的数据同化 (DA) 技术。还讨论了变分方法、集成方法、混合方法和粒子滤波方法的优缺点。首先介绍了几种经常用于 TC 预报和验证的全球数值天气预报模型及其相应的 DA 系统。然后更详细地讨论了国家环境预测飓风天气研究和预报中心在业务区域模型中的 DA 研究和开发工作。重点讨论了侦察、地基雷达、增强型卫星衍生大气运动矢量和全天卫星辐射的 TC 观测及其对 TC 分析和预报的影响。

更新日期：2022-08-17

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