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Volume 6 Issue 2

Apr.  1989

Article Contents

Some Annual Variation Characteristics for the Northern Hemispheric Monthly Mean Precipitation Fields


doi: 10.1007/BF02658015

  • By the utilization of monthly precipitation data from all stations in the Northern Hemisphere annexed to the “World Survey of climatology, Vol. 1-15, the distributions of the maximum precipitation months (MPM), the annual relative precipitation (ARP) and the monthly relative precipitation (percent of annual) in January and July are respectively mapped. Moreover the distributions of intermonthly relative precipitation variabilities from January to December are plotted as well. From these figures, the precipitation in the Northern Hemisphere may be classified into three types (continental, oceanic and transitional types) and 17 regions. The precipitation regime may also be divided into two patterns, the global and regional patterns. The global pattern consists of planetary front system and ITCZ and its inter-monthly variation shows the north-and-south shift of the rain belt; the regional pattern consists of the sea-land monsoon and plateau monsoon regime, in which the inter-monthly variation of rain belt shows a east- and-west shift.
  • [1] Chen Wanlong, Chu Pao-Shin, 1990: On the Couplings between Chebyshev Coefficients as Derived from the Monthly Mean Geopotential Fields at 500 hPa over East Asia and the Southern Oscillation, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 347-353.  doi: 10.1007/BF03179766
    [2] Alexey V.ELISEEV, Igor I. MOKHOV, 2003: Amplitude-Phase Characteristics of the Annual Cycle of Surface Air Temperature in the Northern Hemisphere, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 1-16.  doi: 10.1007/BF03342045
    [3] Shi Neng, 1988: A MULTI-STATISTICAL ANALYSIS OF THE SOUTHERN OSCILLATION (SO) AND ITS RELATION TO THE MEAN MONTHLY ATMOSPHERIC CIRCULATION AT 500 hPa IN THE NORTHERN HEMISPHERE, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 345-360.  doi: 10.1007/BF02656758
    [4] LIU Xiying, ZHANG Xuehong, YU Yongqiang, YU Rucong, 2004: Mean Climatic Characteristics in High Northern Latitudes in an Ocean-Sea Ice-Atmosphere Coupled Model, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 236-244.  doi: 10.1007/BF02915710
    [5] Duan Tingyang, Elmar R. Reiter, 1990: Some Characteristics of Cumulus Convection over the Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 87-97.  doi: 10.1007/BF02919171
    [6] Wang Duo, Zhang Tan, 1989: The Band Characteristics of Long-Term Variation of Precipitation and Water Resources in East Asia Monsoon Region, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 347-356.  doi: 10.1007/BF02661540
    [7] QIAN Cheng, FU Congbin, Zhaohua WU, YAN Zhongwei, 2011: The Role of Changes in the Annual Cycle in Earlier Onset of Climatic Spring in Northern China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 284-296.  doi: 10.1007/s00376-010-9221-1
    [8] Jeong-Hyeong LEE, Keon-Tae SOHN, 2007: Prediction of Monthly Mean Surface Air Temperature in a Region of China, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 503-508.  doi: 10.1007/s00376-007-0503-1
    [9] Liu Qinyu, Jia Yinglai, Wang Xiaohua, Yang Haijun, 2001: On the Annual Cycle Characteristics of the Sea Surface Height in South China Sea, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 613-622.  doi: 10.1007/s00376-001-0049-6
    [10] CHEN Wei, LU Riyu, 2014: The Interannual Variation in Monthly Temperature over Northeast China during Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 515-524.  doi: 10.1007/s00376-013-3102-3
    [11] LIN Pengfei, LIU Hailong, YU Yongqiang, ZHANG Xuehong, 2011: Response of Sea Surface Temperature to Chlorophyll-a Concentration in the Tropical Pacific: Annual Mean, Seasonal Cycle, and Interannual Variability, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 492-510.  doi: 10.1007/s00376-010-0015-2
    [12] S. S. Dugam, S. B. Kakade, R. K. Verma, 1990: Global Annual Mean Surface Air Temperature Anomalies and Their Link with Indian Summer Monsoon Failures, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 245-248.  doi: 10.1007/BF02919162
    [13] HONG Bo, WANG Dongxiao, 2008: Sensitivity Study of the Seasonal Mean Circulation in the Northern South China Sea, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 824-840.  doi: 10.1007/s00376-008-0824-8
    [14] AN Junling, CHENG Xinjin, QU Yu, CHEN Yong, 2007: Influence of Vertical Eddy Diffusivity Parameterization on Daily and Monthly Mean Concentrations of O3 and NOy, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 573-580.  doi: 10.1007/s00376-007-0573-0
    [15] CHEN Bomin, JI Liren, YANG Peicai, ZHANG Daomin, 2003: Systematic Errors of Zonal-Mean Flow in Dynamical Monthly Prediction and Its Improvement, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 17-27.  doi: 10.1007/BF03342046
    [16] Yan Shaojin, Peng Yongqing, Quo Guang, 1995: Monthly Mean Temperature Prediction Based on a Multi-level Mapping Model of Neural Network BP Type, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 225-232.  doi: 10.1007/BF02656835
    [17] Runhua Yang, William H. Klein, 1989: The Synoptic Climatology of Monthly Mean Surface Temperature in Asia in Relation to the 700 hPa Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 227-238.  doi: 10.1007/BF02658018
    [18] Cecilia HELLSTR?M, Deliang CHEN, 2003: Statistical Downscaling Based on Dynamically Downscaled Predictors: Application to Monthly Precipitation in Sweden, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 951-958.  doi: 10.1007/BF02915518
    [19] Peng Yongqing, Yan Shaojin, Wang Tongmei, 1995: A Nonlinear Time-lag Differential Equation Model for Predicting Monthly Precipitation, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 319-324.  doi: 10.1007/BF02656980
    [20] Dangfu YANG, Shengjun LIU, Yamin HU, Xinru LIU, Jiehong XIE, Liang ZHAO, 2022: Predictor Selection for CNN-based Statistical Downscaling of Monthly Precipitation, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-022-2119-x

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Manuscript History

Manuscript received: 10 April 1989
Manuscript revised: 10 April 1989
通讯作者: 陈斌, bchen63@163.com
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Some Annual Variation Characteristics for the Northern Hemispheric Monthly Mean Precipitation Fields

  • 1. Lanzhou Institute of Plateau Atmospheric Physics, Academia Sinica, Lanzhou

Abstract: By the utilization of monthly precipitation data from all stations in the Northern Hemisphere annexed to the “World Survey of climatology, Vol. 1-15, the distributions of the maximum precipitation months (MPM), the annual relative precipitation (ARP) and the monthly relative precipitation (percent of annual) in January and July are respectively mapped. Moreover the distributions of intermonthly relative precipitation variabilities from January to December are plotted as well. From these figures, the precipitation in the Northern Hemisphere may be classified into three types (continental, oceanic and transitional types) and 17 regions. The precipitation regime may also be divided into two patterns, the global and regional patterns. The global pattern consists of planetary front system and ITCZ and its inter-monthly variation shows the north-and-south shift of the rain belt; the regional pattern consists of the sea-land monsoon and plateau monsoon regime, in which the inter-monthly variation of rain belt shows a east- and-west shift.

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