Advanced Search
Article Contents

A Simple Method of Calculating the Optimal Step Size in 4DVAR Technique


doi: 10.1007/s00376-000-0034-5

  • In four-dimensional variational data assimilation (4DVAR) technology, how to calculate the optimal step size is always a very important and indeed difficult task. It is directly related to the computational effi-ciency. In this research, a new method is proposed to calculate the optimal step size more effectively. Both nonlinear one-dimensional advection equation and two-dimensional inertial wave equation are used to test and compare the influence of different methods of the optimal step size calculations on the iteration steps, as well as the simulation results of 4DVAR processes. It is in evidence that the different methods have different influences. The calculating method is very important to determining whether the iteration is convergent or not and whether the convergence rate is large or small. If the calculating method of optimal step size is prop-erly determined as demonstrated in this paper, then it can greatly enlarge the convergence rate and further greatly decrease the iteration steps. This research is meaningful since it not only makes an important im-provement on 4DVAR theory, but also has useful practical application in improving the computational effi-ciency and saving the computational time.
  • [1] Jincheng WANG, Xingwei JIANG, Xueshun SHEN, Youguang ZHANG, Xiaomin WAN, Wei HAN, Dan WANG, 2023: Assimilation of Ocean Surface Wind Data by the HY-2B Satellite in GRAPES: Impacts on Analyses and Forecasts, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 44-61.  doi: 10.1007/s00376-022-1349-2
    [2] CHU Kekuan, TAN Zhemin, Ming XUE, 2007: Impact of 4DVAR Assimilation of Rainfall Data on the Simulation of Mesoscale Precipitation Systems in a Mei-yu Heavy Rainfall Event, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 281-300.  doi: 10.1007/s00376-007-0281-9
    [3] Xiangjun TIAN, Xiaobing FENG, 2019: An Adjoint-Free CNOP-4DVar Hybrid Method for Identifying Sensitive Areas in Targeted Observations: Method Formulation and Preliminary Evaluation, ADVANCES IN ATMOSPHERIC SCIENCES, , 721-732.  doi: 10.1007/s00376-019-9001-5
    [4] WANG Yunfeng, WANG Bin, 2003: The Variational Assimilation Experiment of GPS Bending Angle, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 479-486.  doi: 10.1007/BF02690806
    [5] WANG Bin, LIU Juanjuan, WANG Shudong, CHENG Wei, LIU Juan, LIU Chengsi, Qingnong XIAO, Ying-Hwa KUO, 2010: An Economical Approach to Four-dimensional Variational Data Assimilation, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 715-727.  doi: 10.1007/s00376-009-9122-3
    [6] 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
    [7] WANG Yunfeng, WANG Bin, HAN Yueqi, ZHU Min, HOU Zhiming, ZHOU Yi, LIU Yudi, KOU Zheng, 2004: Variational Data Assimilation Experiments of Mei-Yu Front Rainstorms in China, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 587-596.  doi: 10.1007/BF02915726
    [8] Zhu Jiang, Wang Hui, Masafumi Kamachi, 2002: The Improvement Made by a Modified TLM in 4DVAR with a Geophysical Boundary Layer Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 563-582.  doi: 10.1007/s00376-002-0001-4
    [9] Qin XU, Jie CAO, 2021: Iterative Methods for Solving the Nonlinear Balance Equation with Optimal Truncation, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 755-770.  doi: 10.1007/s00376-020-0291-4
    [10] Da-Lin ZHANG, Xiaoxue WANG, 2003: Dependence of Hurricane Intensity and Structures on Vertical Resolution and Time-Step Size, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 711-725.  doi: 10.1007/BF02915397
    [11] Zhang Renjian, Wang Mingxing, 1999: Modeling the Sudden Decrease in CH4 Growth Rate in 1992, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 242-250.  doi: 10.1007/BF02973085
    [12] ZHAO Juan, WANG Bin, LIU Juanjuan, 2011: Impact of Analysis-time Tuning on the Performance of the DRP-4DVar Approach, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 207-216.  doi: 10.1007/s00376-010-9191-3
    [13] Rong FEI, Yuqing Wang, 2024: On the optimal initial inner-core size for tropical cyclone intensification: An idealized numerical study, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3296-6
    [14] Lu ZHANG, Xiangjun TIAN, Hongqin ZHANG, Feng CHEN, 2020: Impacts of Multigrid NLS-4DVar-based Doppler Radar Observation Assimilation on Numerical Simulations of Landfalling Typhoon Haikui (2012), ADVANCES IN ATMOSPHERIC SCIENCES, 37, 873-892.  doi: 10.1007/s00376-020-9274-8
    [15] HU Yinqiao, ZUO Hongchao, 2003: The Influence of Convergence Movement on Turbulent Transportation in the Atmospheric Boundary Layer, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 794-798.  doi: 10.1007/BF02915404
    [16] Qiwei WANG, Ming XUE, Zhemin TAN, 2016: Convective Initiation by Topographically Induced Convergence Forcing over the Dabie Mountains on 24 June 2010, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1120-1136.  doi: 10.1007/s00376-016-6024-z
    [17] HU Shujuan, CHOU Jifan, 2004: Uncertainty of the Numerical Solution of a Nonlinear System's Long-term Behavior and Global Convergence of the Numerical Pattern, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 767-774.  doi: 10.1007/BF02916373
    [18] JIANG Zhina, LUO Dehai, 2005: Study of the Optimal Precursors for Blocking Events, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 408-414.  doi: 10.1007/BF02918754
    [19] Jun LI, Wei HAN, 2017: A Step Forward toward Effectively Using Hyperspectral IR Sounding Information in NWP, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1263-1264.  doi: 10.1007/s00376-017-7167-2
    [20] Yu Rucong, 1994: A Two-Step Shape-Preserving Advection Scheme, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 479-490.  doi: 10.1007/BF02658169

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 September 2000
Manuscript revised: 10 September 2000
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

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

A Simple Method of Calculating the Optimal Step Size in 4DVAR Technique

  • 1. Laboratory of Meso-scale Severe Weather, Nanjing University, Nanjing, 210093,Laboratory of Meso-scale Severe Weather, Nanjing University, Nanjing, 210093,Laboratory of Meso-scale Severe Weather, Nanjing University, Nanjing, 210093,Laboratory of Meso-scale Severe Weather, Nanjing University, Nanjing, 210093

Abstract: In four-dimensional variational data assimilation (4DVAR) technology, how to calculate the optimal step size is always a very important and indeed difficult task. It is directly related to the computational effi-ciency. In this research, a new method is proposed to calculate the optimal step size more effectively. Both nonlinear one-dimensional advection equation and two-dimensional inertial wave equation are used to test and compare the influence of different methods of the optimal step size calculations on the iteration steps, as well as the simulation results of 4DVAR processes. It is in evidence that the different methods have different influences. The calculating method is very important to determining whether the iteration is convergent or not and whether the convergence rate is large or small. If the calculating method of optimal step size is prop-erly determined as demonstrated in this paper, then it can greatly enlarge the convergence rate and further greatly decrease the iteration steps. This research is meaningful since it not only makes an important im-provement on 4DVAR theory, but also has useful practical application in improving the computational effi-ciency and saving the computational time.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return