Page 111 - 《高原气象》2025年第3期
P. 111
3 期 张万里等:基于对流尺度集合样本的高原边坡对流系统和台风系统多元变量背景场误差特征研究 669
42(6): 1386-1401. DOI: 10. 7522/j. issn. 1000-0534. 2023. of Tropical Meteorology, 36(4): 464-476. DOI: 10. 16032/j.
00024. issn. 1004-4965. 2020. 043.
曹小群, 黄思训, 张卫民, 等, 2008. 区域三维变分同化中背景误差 陈耀登, 方奎明, 陈敏, 等, 2023. 快速更新循环同化系统的背景场
协方差的模拟[J]. 气象科学, 28(1): 8-14. DOI: 10. 3969/j. 误差协方差日变化特征研究及初步应用[J]. 大气科学学报, 46
issn. 1009-0827. 2008. 01. 002. Cao X Q, Huang S X, Zhang W (2): 259-270. DOI: 10. 13878/j. cnki. dqkxxb. 20210107002.
M, et al, 2008. Modeling background error covariance in region‐ Chen Y D, Fang K M, Chen M, et al, 2023. Research on diurnal
al 3D-VAR[J]. Journal of the Meteorological Sciences, 28(1): variation characteristics of background error covariances in rapid
8-14. DOI: 10. 3969/j. issn. 1009-0827. 2008. 01. 002. update cycling data assimilation and forecasting system and their
陈娴雅, 陈耀登, 孟德明, 2022. 基于云依赖背景场误差协方差的 impacts on preliminary applications[J]. Transactions of Atmo‐
雷达资料同化及对降雨预报影响研究[J]. 气象学报, 80(2): spheric Sciences, 46(2): 259-270. DOI: 10. 13878/j. cnki.
243-256. DOI: 10. 11676/qxxb2022. 011. Chen X Y, Chen Y D, dqkxxb. 20210107002.
Meng D M, 2022. Assimilation of radar data based on cloud-de‐ 陈耀登, 王元兵, 闵锦忠, 等, 2014b. 一种控制变量循环扰动和多
pendent background error covariance and its impact on rainfall 参数化方案的混合同化方法[J]. 大气科学学报, 37(6): 732-
forecasting[J]. Acta Meteorologica Sinica, 80(2): 243-256. 739. DOI: 10. 13878/j. cnki. dqkxxb. 20130923007. Chen Y D,
DOI: 10. 11676/qxxb2022. 011. WangY B, MinJ Z, et al, 2014b. A hybrid assimilation method
陈耀登, 曾腊梅, Huang X Y, 等, 2014a. 纬度依赖背景场误差协方 with control variable cycle perturbation and multi-physical param‐
差及其对台风同化和预报的影响研究[J]. 热带气象学报, 30 eterization[J]. Transactions of Atmospheric Sciences, 37(6):
(4): 654-662. DOI: 10. 3969/j. issn. 1004-4965. 2014. 04. 006. 732-739. DOI: 10. 13878/j. cnki. dqkxxb. 20130923007.
Chen Y D, ZengL M, Huang X Y, et al, 2014a. A study of lati‐ 傅朝, 刘维成, 宋兴宇, 等, 2022. 西北干旱区一次极端暴雨局地性
tude-dependent background error covariance and its impacts for 增强的对流环境特征[J]. 干旱气象, 40(6): 909-921. DOI:
typhoon data assimilation and forecast[J]. Journal of Tropical Me‐ 10. 11755/j. issn. 1006-7639(2022)-06-0909. Fu Z, Liu W C,
teorology, 30(4): 654-662. DOI: 10. 3969/j. issn. 1004- Song X Y, et al, 2022. Local enhanced convective environment
4965. 2014. 04. 006. characteristics of an extreme rainstorm event in arid region of
陈耀登, 赵幸, 闵锦忠, 等, 2015. 青藏高原和华东地区背景误差协 Northwest China[J]. Journal of Arid Meteorology, 40(6): 909-
方差特征的对比研究[J]. 大气科学学报, 38(5): 650-657. 921. DOI: 10. 11755/j. issn. 1006-7639(2022)-06-0909.
DOI: 10. 13878/j. cnki. dqkxxb. 20141021002. Chen Y D, Zhao 符梓霖, 王磊, 李谢辉, 等, 2024. 卫星微波湿度计资料同化对雅鲁
X, Min J Z, et al, 2015. Comparative analysis of characteristics 藏布江大峡谷暴雨模拟的影响[J]. 高原气象, 43(4): 883-
for background error covariances in Tibetan Plateau and East Chi‐ 894. DOI: 10. 7522/j. issn. 1000-0534. 2023. 00099. Fu Z L,
na[J]. Transactions of Atmospheric Sciences, 38(5): 650-657. Wang L, Li X H, et al, 2024. Impact of Satellite Microwave Hy‐
DOI: 10. 13878/j. cnki. dqkxxb. 20141021002. grometer Data Assimilation on the Yarlung Zangbo Grand Canyon
陈耀登, 陈晓梦, 闵锦忠, 等, 2016. 各向异性背景场误差协方差构 Area Heavy Rain Simulation[J]. Plateau Meteorology, 43(4):
建及在“凡亚比”台风的应用[J]. 海洋学报, 38(9): 32-45. 883-894. DOI: 10. 7522/j. issn. 1000-0534. 2023. 00099.
DOI: 10. 3969/j. issn. 0253-4193. 2016. 09. 004. Chen Y D, 龚建东, 赵刚, 2006. 全球资料同化中误差协方差三维结构的准确
Chen X M, Min J Z, et al, 2016. Anisotropic background error 估计与应用Ⅱ: 背景误差协方差调整与数值试验分析[J]. 气象
covariance modelling and its application in Typhoon Fanapi[J]. 学报, 64(6): 684-698. DOI: 10. 11676/qxxb2006. 066. Gong J
Haiyang Xuebao, 38(9): 32-45. DOI: 10. 3969/j. issn. 0253- D, Zhao G, 2006. Accurate estimation and application of 3-d er‐
4193. 2016. 09. 004. ror covariance structures in global data assimilation Part Ⅱ: back‐
陈耀登, 夏雪, 闵锦忠, 等, 2017. 背景误差协方差变量平衡特征及 ground error covariance structure adjustments and numerical ex‐
其对台风同化和预报的影响[J]. 热带气象学报, 33(3): 289- periments[J]. Acta Meteorologica Sinica, 64(6): 684-698.
298. DOI: 10. 16032/j. issn. 1004-4965. 2017. 03. 001. Chen Y DOI: 10. 11676/qxxb2006. 066.
D, Xia X, Min J Z, et al, 2017. Balance characteristics of multi‐ 官元红, 周广庆, 陆维松, 等, 2007. 资料同化方法的理论发展及应
variate background error covariance for typhoon season and its 用综述[J]. 气象与减灾研究, 30(4): 1-8. DOI: 10. 3969/j.
impact on typhoon data assimilation and forecast[J]. Journal of issn. 1007-9033. 2007. 04. 001. Guan Y H, Zhou G Q, Lu W S,
Tropical Meteorology, 33(3): 289-298. DOI: 10. 16032/j. issn. et al, 2007. Theory development and application of data assimila‐
1004-4965. 2017. 03. 001. tion methods[J]. Meteorology and Disaster Reduction Research,
陈耀登, 郭闪, 王元兵, 等, 2020. 基于优化样本组合的集合-变分 30(04): 1-8. DOI: 10. 3969/j. issn. 1007-9033. 2007. 04. 001.
混合同化方案研究[J]. 热带气象学报, 36(4): 464-476. DOI: 梁皓, 许冬梅, 束艾青, 等, 2023. 葵花 8 号辐射率资料同化在一次
10. 16032/j. issn. 1004-4965. 2020. 043. Chen Y D, Guo S, 川渝暴雨预报中的应用研究[J]. 高原气象, 42(6): 1478-
Wang Y B, et al, 2020. Study on ensemble-variation hybrid data 1491. DOI: 10. 7522/j. issn. 1000-0534. 2022. 00112. Liang H,
assimilation based on optimized composite samples[J]. Journal Xu D M, Shu A Q, et al, 2023. The impact of assimilating Hi‐