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Evaluation and Improvement of a SVD-Based Empirical Atmospheric Model


doi: 10.1007/s00376-010-0029-9

  • An empirical atmospheric model (EAM) based on the singular value decomposition (SVD) method is evaluated using the composite El Nino/Southern Oscillation (ENSO) patterns of sea surface temperature (SST) and wind anomalies as the target scenario. Two versions of the SVD-based EAM were presented for comparisons. The first version estimates the wind anomalies in response to SST variations based on modes that were calculated from a pair of global wind and SST fields (i.e., conventional EAM or CEAM). The second version utilizes the same model design but is based on modes that were calculated in a region-wise manner by separating the tropical domain from the remaining extratropical regions (i.e., region-wise EAM or REAM). Our study shows that, while CEAM has shown successful model performance over some tropical areas, such as the equatorial eastern Pacific (EEP), the western North Pacific (WNP), and the tropical Indian Ocean (TIO), its performance over the North Pacific (NP) seems poor. When REAM is used to estimate the wind anomalies instead of CEAM, a marked improvement over NP readily emerges. Analyses of coupled modes indicate that such an improvement can be attributed to a much stronger coupled variability captured by the first region-wise SVD mode at higher latitudes compared with that captured by the conventional one. The newly proposed way of constructing the EAM (i.e., REAM) can be very useful in the coupled studies because it gives the model a wider application beyond the commonly accepted tropical domain.
  • [1] YAN Li, WANG Panxing, YU Yongqiang, LI Lijuan, WANG Bin, 2010: Potential Predictability of Sea Surface Temperature in a Coupled Ocean--Atmosphere GCM, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 921-936.  doi: 10.1007/s00376-009-9062-y
    [2] ZENG Qingcun, 2007: An Intercomparison of Rules for Testing the Significance of Coupled Modes of Singular Value Decomposition Analysis, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 199-212.  doi: 10.1007/s00376-007-0199-2
    [3] Yu Yongqiang, Guo Yufu, 1995: The Interannual Variability of Climate in a Coupled Ocean-Atmosphere Model, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 273-288.  doi: 10.1007/BF02656977
    [4] YANG Peicai, WANG Geli, BIAN Jianchun, ZHOU Xiuji, 2010: The Prediction of Non-stationary Climate Series Based on Empirical Mode Decomposition, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 845-854.  doi: 10.1007/s00376-009-9128-x
    [5] Wang Huijun, 2000: The Interannual Variability of East Asian Monsoon and Its Relationship with SST in a Coupled Atmosphere-Ocean-Land Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 31-47.  doi: 10.1007/s00376-000-0041-6
    [6] ZHI Hai, WANG Panxing, DAN Li, YU Yongqiang, XU Yongfu, ZHENG Weipeng, 2009: Climate-Vegetation Interannual Variability in a Coupled Atmosphere-Ocean-Land Model, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 599-612.  doi: 10.1007/s00376-009-0599-6
    [7] Zhou Tianjun, Yu Rucong, Li Zhaoxin, 2002: ENSO-Dependent and ENSO-Independent Variability over the Mid-Latitude North Pacific: Observation and Air-Sea Coupled Model Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 1127-1147.  doi: 10.1007/s00376-002-0070-4
    [8] ZHU Weijun, Kevin HAMILTON, 2008: Empirical Estimates of Global Climate Sensitivity: An Assessment of Strategies Using a Coupled GCM, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 339-347.  doi: 10.1007/s00376-008-0339-3
    [9] Chanchal Guha-Roy, Dilip Kumar Sinha, 1993: An Elegant Coupled Model, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 257-260.  doi: 10.1007/BF02919149
    [10] Vladimir A. Lobanov, 2001: Empirical-Statistical Methodology and Methods for Modeling and Forecasting of Climate Variability of Different Temporal Scales, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 844-863.
    [11] Jingmei Yang, Jinhuan Qiu, 2009: An Empirical Model for Estimating Stratospheric Ozone Vertical Distributions over China, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 352-358.  doi: 10.1007/s00376-009-0352-1
    [12] Bi Xunqiang, 1997: Parallel Computing of a Climate Model on the Dawn 1000 by Domain Decomposition Method, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 569-572.  doi: 10.1007/s00376-997-0075-0
    [13] Junya HU, Rong-Hua ZHANG, Chuan GAO, 2019: A Hybrid Coupled Ocean-Atmosphere Model and Its Simulation of ENSO and Atmospheric Responses, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 643-657.  doi: 10.1007/s00376-019-8197-8
    [14] Junya HU, Hongna WANG, Chuan GAO, Rong-Hua ZHANG, 2024: Different El Niño Flavors and Associated Atmospheric Teleconnections as Simulated in a Hybrid Coupled Model, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 864-880.  doi: 10.1007/s00376-023-3082-x
    [15] Alexey V. ELISEEV, Igor I. MOKHOV, Konstantin G. RUBINSTEIN, Maria S. GUSEVA, 2004: Atmospheric and Coupled Model Intercomparison in Terms of Amplitude-Phase Characteristics of Surface Air Temperature Annual Cycle, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 837-847.  doi: 10.1007/BF02915586
    [16] ZENG Xinmin, ZHAO Ming, SU Bingkai, TANG Jianping, ZHENG Yiqun, GUI Qijun, ZHOU Zugang, 2003: Simulations of a Hydrological Model as Coupled to a Regional Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 227-236.  doi: 10.1007/s00376-003-0008-5
    [17] DAI Tie, SHI Guangyu, Teruyuki NAKAJIMA, 2015: Analysis and Evaluation of the Global Aerosol Optical Properties Simulated by an Online Aerosol-coupled Non-hydrostatic Icosahedral Atmospheric Model, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 743-758.  doi: 10.1007/s00376-014-4098-z
    [18] LIU Shikuo, LIU Shida, FU Zuntao, SUN Lan, 2005: A Nonlinear Coupled Soil Moisture-Vegetation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 337-342.  doi: 10.1007/BF02918747
    [19] Ye Weizuo, 1990: Application of the Coupled Dynamical-Radiational Model of Stratocumulus, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 331-346.  doi: 10.1007/BF03179765
    [20] Ye Weizuo, 1990: A Coupled Dynamical-Radiational Model of Stratocumulus, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 197-210.  doi: 10.1007/BF02919158

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Manuscript History

Manuscript received: 10 May 2011
Manuscript revised: 10 May 2011
通讯作者: 陈斌, bchen63@163.com
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Evaluation and Improvement of a SVD-Based Empirical Atmospheric Model

  • 1. Department of Atmospheric Sciences, Chinese Culture University, Taipei 11114, Graduate Institute of Earth Science, Chinese Culture University, Taipei 11114,Graduate Institute of Earth Science, Chinese Culture University, Taipei 11114,Department of Atmospheric Sciences, Chinese Culture University, Taipei 11114

Abstract: An empirical atmospheric model (EAM) based on the singular value decomposition (SVD) method is evaluated using the composite El Nino/Southern Oscillation (ENSO) patterns of sea surface temperature (SST) and wind anomalies as the target scenario. Two versions of the SVD-based EAM were presented for comparisons. The first version estimates the wind anomalies in response to SST variations based on modes that were calculated from a pair of global wind and SST fields (i.e., conventional EAM or CEAM). The second version utilizes the same model design but is based on modes that were calculated in a region-wise manner by separating the tropical domain from the remaining extratropical regions (i.e., region-wise EAM or REAM). Our study shows that, while CEAM has shown successful model performance over some tropical areas, such as the equatorial eastern Pacific (EEP), the western North Pacific (WNP), and the tropical Indian Ocean (TIO), its performance over the North Pacific (NP) seems poor. When REAM is used to estimate the wind anomalies instead of CEAM, a marked improvement over NP readily emerges. Analyses of coupled modes indicate that such an improvement can be attributed to a much stronger coupled variability captured by the first region-wise SVD mode at higher latitudes compared with that captured by the conventional one. The newly proposed way of constructing the EAM (i.e., REAM) can be very useful in the coupled studies because it gives the model a wider application beyond the commonly accepted tropical domain.

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