APPLICATION OF MULTI-DIMENSIONAL SEQUENCE SIMILARITY METHOD IN METEOROLOGY

Gong Jiuding

doi:10.1007/BF02680048

Impact Factor: 5.8

Volume 3 Issue 1

Jan. 1986

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1986 > 3(1): 94-104

APPLICATION OF MULTI-DIMENSIONAL SEQUENCE SIMILARITY METHOD IN METEOROLOGY

Gong Jiuding

1.
Zhejiang Research Institute of Meteorology, Hangzhou

Gong Jiuding

doi: 10.1007/BF02680048

Abstract
References
Related papers
PDF

Abstract:
The present work is devoted to multi-dimensional sequence similarity method with a view to predicting a typhoon analogous in both rainfall and track to the historical event. The result can be used in operational forecasts.
References

[1]	Zhong Wenyi, Yang Peicai, 1986: THE TRANSITION OF A MULTI-DIMENSIONAL LORENZ SYSTEM, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 289-301. doi: 10.1007/BF02678650
[2]	Yang Hongwei, Wang Bin, Ji Zhongzhen, 2002: Application of the Artificial Compression Method to the Simulation of Two-Dimensional Frontogenesis, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 863-869. doi: 10.1007/s00376-002-0051-7
[3]	Hongli LI, Xiangde XU, 2017: Application of a Three-dimensional Variational Method for Radar Reflectivity Data Correction in a Mudslide-inducing Rainstorm Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 469-481. doi: 10.1007/s00376-016-6010-5
[4]	Al-Jiboori M. H., Xu Yumao, Qian Yongfu, 2000: Local Similarity Relationships of Non-Dimensional Wind and Temperature Gradient in the Tower-Layer Atmosphere over Beijing City, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 636-648. doi: 10.1007/s00376-000-0025-6
[5]	Yongkang Xue, 1991: A Two-Dimensional Coupled Biosphere-Atmosphere Model and Its Application, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 447-458. doi: 10.1007/BF02919267
[6]	ZHANG Lei, QIU Chongjian, HUANG Jianping, 2008: A Three-Dimensional Satellite Retrieval Method for Atmospheric Temperature and Moisture Profiles, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 897-904. doi: 10.1007/s00376-008-0897-4
[7]	HUANG Wenyu, WU Rongsheng, FANG Juan, 2010: The Adaptive Wavelet Collocation Method and Its Application in Front Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 594-604. doi: 10.1007/s00376-009-8189-1
[8]	Xiaojuan SUN, Siyan LI, Julian X. L WANG, Panxing WANG, Dong GUO, 2022: A New Method of Significance Testing for Correlation-Coefficient Fields and Its Application, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 529-535. doi: 10.1007/s00376-021-1196-6
[9]	PENG Xindong, CHANG Yan, LI Xingliang, XIAO Feng, 2010: Application of the Characteristic CIP Method to a Shallow Water Model on the Sphere, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 728-740. doi: 10.1007/s00376-009-9148-6
[10]	Runhua YANG, Jing GUO, Lars Peter RIISH?JGAARD, 2006: Application of an Error Statistics Estimation Method to the PSAS Forecast Error Covariance Model, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 33-44. doi: 10.1007/s00376-006-0004-7
[11]	WANG Gaili, WONG Waikin, LIU Liping, WANG Hongyan, 2013: Application of Multi-Scale Tracking Radar Echoes Scheme in Quantitative Precipitation Nowcasting, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 448-460. doi: 10.1007/s00376-012-2026-7
[12]	Yan GAO, Jiali FENG, Xin XIA, Jian SUN, Yulong MA, Dongmei CHEN, Qilin WAN, 2023: Multi-scale Incremental Analysis Update Scheme and Its Application to Typhoon Mangkhut (2018) Prediction, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 95-109. doi: 10.1007/s00376-022-1425-7
[13]	LI Lei, HU Fei, JIANG Jinhua, CHENG Xueling, 2007: An Application of the RAMS/FLUENT System on the Multi-Scale Numerical Simulation of the Urban Surface Layer---A Preliminary Study, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 271-280. doi: 10.1007/s00376-007-0271-y
[14]	LIU Ye, YAN Changxiang, 2010: Application of a Recursive Filter to a Three-Dimensional Variational Ocean Data Assimilation System, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 293-302. doi: 10.1007/s00376-009-8112-9
[15]	Lu LIU, Lingkun RAN, Shouting GAO, 2019: A Three-dimensional Wave Activity Flux of Inertia-Gravity Waves and Its Application to a Rainstorm Event, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 206-218. doi: 10.1007/s00376-018-8018-5
[16]	LIU Juan, WANG Bin, LIU Hailong, YU Yongqiang, 2008: A New Global Four-Dimensional Variational Ocean Data Assimilation System and Its Application, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 680-691. doi: 10.1007/s00376-008-0680-6
[17]	Qingchang QIN, Xueshun SHEN, Chungang CHEN, Feng XIAO, Yongjiu DAI, Xingliang LI, 2019: A 3D Nonhydrostatic Compressible Atmospheric Dynamic Core by Multi-moment Constrained Finite Volume Method, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1129-1142. doi: 10.1007/s00376-019-9002-4
[18]	Pei HUANG, Chungang CHEN, Xingliang LI, Xueshun SHEN, Feng XIAO, 2022: An Adaptive Nonhydrostatic Atmospheric Dynamical Core Using a Multi-Moment Constrained Finite Volume Method, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 487-501. doi: 10.1007/s00376-021-1185-9
[19]	S.K. Sinha, D.R. Talwalkar, S.G. Narkhedkar, S. Rajamani, 1989: A Scheme for Objective Analysis of Wind Field Incorporating Multi-Weighting Functions in the Optimum Interpolation Method, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 435-446. doi: 10.1007/BF03342547
[20]	Chuan GAO, Xinrong WU, Rong-Hua ZHANG, 2016: Testing a Four-Dimensional Variational Data Assimilation Method Using an Improved Intermediate Coupled Model for ENSO Analysis and Prediction, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 875-888. doi: 10.1007/s00376-016-5249-1

PDF

Get Citation+

Export:

Article Metrics

Article Views: 1719 Times

PDF downloads: 1051 Times

Cited by: Times

Proportional views

Manuscript History

Manuscript received: 10 January 1986

Manuscript revised: 10 January 1986

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

APPLICATION OF MULTI-DIMENSIONAL SEQUENCE SIMILARITY METHOD IN METEOROLOGY

Gong Jiuding

1. Zhejiang Research Institute of Meteorology, Hangzhou

Manuscript received: 1986-01-10
Manuscript revised: 1986-01-10

Abstract: The present work is devoted to multi-dimensional sequence similarity method with a view to predicting a typhoon analogous in both rainfall and track to the historical event. The result can be used in operational forecasts.