Advanced Search
Article Contents

Simple General Atmospheric Circulation and Climate Models with Memory


doi: 10.1007/BF02918720

  • This article examines some general atmospheric circulation and climate models in the context of the notion of "memory". Two kinds of memories are defined: statistical memory and deterministic memory.The former is defined through the autocorrelation characteristic of the process if it is random (chaotic),while for the latter, a special memory function is introduced. Three of the numerous existing models are selected as examples. For each of the models, asymptotic (at t →∞) expressions are derived. In this way,the transients are filtered out and that which remains concerns the final behaviour of the models.
  • [1] Susannah M. BURROWS, Aritra DASGUPTA, Sarah REEHL, Lisa BRAMER, Po-Lun MA, Philip J. RASCH, Yun QIAN, 2018: Characterizing the Relative Importance Assigned to Physical Variables by Climate Scientists when Assessing Atmospheric Climate Model Fidelity, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1101-1113.  doi: 10.1007/s00376-018-7300-x
    [2] Yang Xin, Wang Mingxing, Huang Yao, 2001: The Climatic-induced Net Carbon Sink by Terrestrial Biosphere over 1901-1995, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 1192-1206.  doi: 10.1007/s00376-001-0033-1
    [3] Deliang CHEN, Anders OMSTEDT, 2005: Climate-Induced Variability of Sea Level in Stockholm: Influence of Air Temperature and Atmospheric Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 655-664.  doi: 10.1007/BF02918709
    [4] ZHOU Feifan, DING Ruiqiang, FENG Guolin, FU Zuntao, DUAN Wansuo, 2012: Progress in the Study of Nonlinear Atmospheric Dynamics and Predictability of Weather and Climate in China (2007--2011), ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1048-1062.  doi: 10.1007/s00376-012-1204-y
    [5] Odd Helge OTTERA, 2008: Simulating the Effects of the 1991 Mount Pinatubo Volcanic Eruption Using the ARPEGE Atmosphere General Circulation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 213-226.  doi: 10.1007/s00376-008-0213-3
    [6] Feng Guolin, Cao Hongxing, Gao Xinquan, Dong Wenjie, Chou Jifan, 2001: Prediction of Precipitation during Summer Monsoon with Self-memorial Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 701-709.
    [7] Shutao CHEN, Jianwen ZOU, Zhenghua HU, Yanyu LU, 2019: Climate and Vegetation Drivers of Terrestrial Carbon Fluxes: A Global Data Synthesis, ADVANCES IN ATMOSPHERIC SCIENCES, , 679-696.  doi: 10.1007/s00376-019-8194-y
    [8] Tido SEMMLER, Thomas JUNG, Marta A. KASPER, Soumia SERRAR, 2018: Using NWP to Assess the Influence of the Arctic Atmosphere on Midlatitude Weather and Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 5-13.  doi: 10.1007/s00376-017-6290-4
    [9] JIANG Dabang, DING Zhongli, Helge DRANGE, GAO Yongqi, 2008: Sensitivity of East Asian Climate to the Progressive Uplift and Expansion of the Tibetan Plateau Under the Mid-Pliocene Boundary Conditions, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 709-722.  doi: 10.1007/s00376-008-0709-x
    [10] Ning ZENG, 2003: Glacial-Interglacial Atmospheric CO2 Change--The Glacial Burial Hypothesis, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 677-693.  doi: 10.1007/BF02915395
    [11] Kunhui YE, Renguang WU, 2017: Autumn Snow Cover Variability over Northern Eurasia and Roles of Atmospheric Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 847-858.  doi: 10.1007/s00376-017-6287-z
    [12] LI Guoqing, 2005: 27.3-day and 13.6-day Atmospheric Tide and Lunar Forcing on Atmospheric Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 359-374.  doi: 10.1007/BF02918750
    [13] ZHENG Xunhua, LIU Chunyan, HAN Shenghui, 2008: Description and Application of a Model for Simulating Regional Nitrogen Cycling and Calculating Nitrogen Flux, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 181-201.  doi: 10.1007/s00376-008-0181-7
    [14] Ding Aiju, Wang Mingxing, 1996: Model for Methane Emission from Rice Fields and Its Application in Southern China, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 159-168.  doi: 10.1007/BF02656859
    [15] Naresh NEUPANE, 2016: The Congo Basin Zonal Overturning Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 767-782.  doi: 10.1007/s00376-015-5190-8
    [16] Ping WU, Yihui DING, Yanju LIU, 2017: Atmospheric Circulation and Dynamic Mechanism for Persistent Haze Events in the Beijing-Tianjin-Hebei Region, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 429-440.  doi: 10.1007/s00376-016-6158-z
    [17] Zhao Li, Zhao Sixiong, 1995: Numerical Experiments of Meiyu(Baiu) Rainfall by Quasi-Lagrangian Limited Area Model with Terrain, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 57-66.  doi: 10.1007/BF02661287
    [18] DUAN Anmin, WU Guoxiong, LIU Yimin, MA Yaoming, ZHAO Ping, 2012: Weather and Climate Effects of the Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 978-992.  doi: 10.1007/s00376-012-1220-y
    [19] Mu Mu, Duan Wansuo, Wang Jiacheng, 2002: The Predictability Problems in Numerical Weather and Climate Prediction, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 191-204.  doi: 10.1007/s00376-002-0016-x
    [20] Lijing CHENG, John ABRAHAM, Kevin E. TRENBERTH, Tim BOYER, Michael E. MANN, Jiang ZHU, Fan WANG, Fujiang YU, Ricardo LOCARNINI, John FASULLO, Fei ZHENG, Yuanlong LI, Bin ZHANG, Liying WAN, Xingrong CHEN, Dakui WANG, Licheng FENG, Xiangzhou SONG, Yulong LIU, Franco RESEGHETTI, Simona SIMONCELLI, Viktor GOURETSKI, Gengxin CHEN, Alexey MISHONOV, Jim REAGAN, Karina VON SCHUCKMANN, Yuying PAN, Zhetao TAN, Yujing ZHU, Wangxu WEI, Guancheng LI, Qiuping REN, Lijuan CAO, Yayang LU, 2024: New Record Ocean Temperatures and Related Climate Indicators in 2023, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3378-5

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 September 2005
Manuscript revised: 10 September 2005
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

Simple General Atmospheric Circulation and Climate Models with Memory

  • 1. Solar Terrestrial Influences Laboratory, Bulgarian Academy of Sciences, Acad. G. Bonchev, str., bl. 3 1113 Sofia, Bulgaria;Faculty of Physics, University of Sofia, 5, James Bauchier, bulv. 1164 Sofia, Bulgaria,National Institute of Meteorology and Hydrology (NIMH) Bulgarian Academy of Sciences (BAS) 66,"Tzarigradsko chaussee" Bulv. Sofia 1784, Bulgaria

Abstract: This article examines some general atmospheric circulation and climate models in the context of the notion of "memory". Two kinds of memories are defined: statistical memory and deterministic memory.The former is defined through the autocorrelation characteristic of the process if it is random (chaotic),while for the latter, a special memory function is introduced. Three of the numerous existing models are selected as examples. For each of the models, asymptotic (at t →∞) expressions are derived. In this way,the transients are filtered out and that which remains concerns the final behaviour of the models.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return