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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/88565


    Title: 中央氣象局FV3GFS全球天氣預報系統應用混合增益系集—變分資料同化方法之評估研究(2/3);Evaluation of the hybrid gain ensemble-variational data assimilation method applied to Central Weather Bureau’s FV3GFS global weather prediction system (2/3)
    Authors: 楊舒芝
    Contributors: 國立中央大學大氣物理研究所
    Keywords: 混成增益矩陣資料同化;FV3GFS全球模式系統;資料同化;;Hybrid gain data assimilation;FV3GFS global model;data assimilation
    Date: 2022-07-26
    Issue Date: 2022-07-27 10:34:53 (UTC+8)
    Publisher: 交通部中央氣象局
    Abstract: 本研究計畫將於中央氣象局未來作業用全球模式系統(FV3GFS)架構下,進行混成資料同化(HGDA)系統的建置與開發,強化具氣象局特色之全球預報系統。計畫第一年已藉由氣象局的FV3GFS-GSI資料同化系統為基礎,利用單點觀測同化實驗測試FV3GFS-GSI內子同化系統的特性。由於HGDA在實作上有兩種同化策略,故亦分就各同化策略進行結合權重的測試與探討,理解結合權重在不同策略中的貢獻。本年度將基於單點觀測實驗的經驗,進行FV3GFS-HGDA的循環同化實驗,並測試出各同化策略的最佳結合權重,評估最合適氣象局的同化策略。第三年將致力於QR-HGDA同化系統的建置,並將正交向量診斷應用於FV3GFS-GSI同化系統,期待可釐清EnVAR同化系統的修正特性。此三年期研究計畫成果預期可完成FV3GFS-HGDA系統的建置與效益評估,並可培養國內自主研發與強化全球模式的維護能力。 ;CWB has advanced its global operational system toward the next-generation system, the FV3GFS, coupled with a Gridpoint Statistical Interpolation (GSI) hybrid ensemble-variational (EnVar) data assimilation system (FV3GFS-GSI). This system is planned to be operational in 2021. Different from hybridizing the background error covariance in EnVar, a three-year project is planned to explore a different possibility of hybrid data assimilation and aims to develop the hybrid gain data assimilation (HGDA) system using the ensemble and variational DA components from the FV3GFS-GSI system. In the first year, single observation experiment had been conducted to investigate the properties of each DA system, including the FV3GFS-GSI, the FV3GFS-HGDA and its component DA systems. In this year, cycling experiments will be conducted to examine the applicability and feasibility for the FV3GFS-HGDA under a semi-operational environment. Since the HGDA has two scenarios for implementation, a series of sensitivity tests are necessary to justify the optimal combination weight for both scenarios. Except for a single weight value, an altitude-dependent combination weight would be a potential option for improving the hybrids if needed. In the last year of this three-year study, we will focus on implementing the QR-HGDA algorithm to evaluate the possibility of removing the ad-hoc determined combination weight in hybrids. The newly derived orthogonal analysis increment through QR-factorization can be used to understand the characteristics of the increments in the current FV3GFS-GSI system. Through the three-year study, we are able to develop a hybrid DA system and such experiences can feedback to the FV3GFS-GSI development. The optimal goal of this study is to enhance CWB’s ability in DA research and global forecast system in Taiwan.
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[大氣物理研究所 ] 研究計畫

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