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Volume 8 Issue 1

Jan.  1991

Article Contents

Sensitivities of Numerical Model Forecasts of Extreme Cyclone Events


doi: 10.1007/BF02657364

  • A global forecast model is used to examine various sensitivities of numerical predictions of three extreme winter storms that occurred near the eastern continental margin of North America: the Ohio Valley blizzard of January 1978, the New England blizzard of February 1978, and the Mid-Atlantic cyclone of February 1979. While medium-resolution simulations capture much of the intensification, the forecasts of the precise timing and intensity levels suffer from various degrees of error. The coastal cyclones show a 5-10 hPa dependence on the western North Atlantic sea surface temperature, which is varied within a range (± 2.5℃) compatible with interannual fluctuations. The associated vertical velocities and precipitation rates show proportionately stronger dependences on the ocean temperature perturbations. The Ohio Valley blizzard, which intensified along a track 700-800 km from the coast, shows little sensitivity to ocean temperature. The effect of a shift of - 10?latitude in the position of the snow boundary is negligible in each case. The forecasts depend strongly on the model resolution, and the coarse-resolution forecasts are consistently inferior to the medium-resolution forecasts. Studies of the corresponding sensitivities of extreme cyclonic events over eastern Asia are encouraged in order to identify characteristics that are common to numerical forecasts for the two regions.
  • [1] Kazutoshi SATO, Jun INOUE, Akira YAMAZAKI, Naohiko HIRASAWA, Konosuke SUGIURA, Kyohei YAMADA, 2020: Antarctic Radiosonde Observations Reduce Uncertainties and Errors in Reanalyses and Forecasts over the Southern Ocean: An Extreme Cyclone Case, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 431-440.  doi: 10.1007/s00376-019-8231-x
    [2] Guo Yufu, Chao Jiping, 1984: SIMPLIFIED DYNAMICAL ANOMALY MODEL FOR LONG-RANGE NUMERICAL FORECASTS, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 30-52.  doi: 10.1007/BF03187614
    [3] Xianling JIANG, Fumin REN, Yunjie LI, Wenyu QIU, Zhuguo MA, Qinbo CAI, 2018: Characteristics and Preliminary Causes of Tropical Cyclone Extreme Rainfall Events over Hainan Island, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 580-591.  doi: 10.1007/s00376-017-7051-0
    [4] LI Weiping, SUN Shufen, WANG Biao, LIU Xin, 2009: Numerical Simulation of Sensitivities of Snow Melting to Spectral Composition of the Incoming Solar Radiation, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 403-412.  doi: 10.1007/s00376-009-0403-7
    [5] Chao Jiping, WangXiaoxi, Chen Yingyi, Wang Lizhi, 1986: MONTHLY AND SEASONAL NUMERICAL FORECASTS BY USING THE ANOMALY OCEAN-ATMOSPHERE COUPLED FILTERED MODEL, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 139-149.  doi: 10.1007/BF02682548
    [6] Yan ZHENG, Liguang WU, Haikun ZHAO, Xingyang ZHOU, Qingyuan LIU, 2020: Simulation of Extreme Updrafts in the Tropical Cyclone Eyewall, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 781-792.  doi: 10.1007/s00376-020-9197-4
    [7] Philip E. BETT, Gill M. MARTIN, Nick DUNSTONE, Adam A. SCAIFE, Hazel E. THORNTON, Chaofan LI, 2021: Seasonal Rainfall Forecasts for the Yangtze River Basin in the Extreme Summer of 2020, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 2212-2220.  doi: 10.1007/s00376-021-1087-x
    [8] QIN Xiaohao, MU Mu, 2014: Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 252-262.  doi: 10.1007/s00376-013-3008-0
    [9] Zhenhua HUO, Wansuo DUAN, Feifan ZHOU, 2019: Ensemble Forecasts of Tropical Cyclone Track with Orthogonal Conditional Nonlinear Optimal Perturbations, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 231-247.  doi: 10.1007/s00376-018-8001-1
    [10] CHEN Boyu, MU Mu, 2012: The Roles of Spatial Locations and Patterns of Initial Errors in the Uncertainties of Tropical Cyclone Forecasts, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 63-78.  doi: 10.1007/s00376-011-0201-x
    [11] Guokun DAI, Mu MU, 2020: Influence of the Arctic on the Predictability of Eurasian Winter Extreme Weather Events, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 307-317.  doi: 10.1007/s00376-019-9222-7
    [12] Gao Xuejie, Zhao Zongci, Filippo Giorgi, 2002: Changes of Extreme Events in Regional Climate Simulations over East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 927-942.  doi: 10.1007/s00376-002-0056-2
    [13] Yueyue YU, Yafei LI, Rongcai REN, Ming CAI, Zhaoyong GUAN, Wei HUANG, 2022: An Isentropic Mass Circulation View on the Extreme Cold Events in the 2020/21 Winter, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 643-657.  doi: 10.1007/s00376-021-1289-2
    [14] Guokun DAI, Chunxiang LI, Zhe HAN, Dehai LUO, Yao YAO, 2022: The Nature and Predictability of the East Asian Extreme Cold Events of 2020/21, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 566-575.  doi: 10.1007/s00376-021-1057-3
    [15] Ying LI, Dajun ZHAO, 2022: Climatology of Tropical Cyclone Extreme Rainfall over China from 1960 to 2019, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 320-332.  doi: 10.1007/s00376-021-1080-4
    [16] GAO Jianyun, Tim LI, 2012: Interannual Variation of Multiple Tropical Cyclone Events in the Western North Pacific, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1279-1291.  doi: 10.1007/s00376-012-1031-1
    [17] Wenhua Gao, Chengyin Li, Lanzhi Tang, 2024: A numerical study of the impacts of hydrometeor processes on the “21.7” extreme rainfall in Zhengzhou, China, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3365-x
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Manuscript History

Manuscript received: 10 January 1991
Manuscript revised: 10 January 1991
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Sensitivities of Numerical Model Forecasts of Extreme Cyclone Events

  • 1. Department of Atmospheric Sciences, University of Illinois, Urbana, IL 61801,Department of Atmospheric Sciences, University of Illinois, Urbana, IL 61801

Abstract: A global forecast model is used to examine various sensitivities of numerical predictions of three extreme winter storms that occurred near the eastern continental margin of North America: the Ohio Valley blizzard of January 1978, the New England blizzard of February 1978, and the Mid-Atlantic cyclone of February 1979. While medium-resolution simulations capture much of the intensification, the forecasts of the precise timing and intensity levels suffer from various degrees of error. The coastal cyclones show a 5-10 hPa dependence on the western North Atlantic sea surface temperature, which is varied within a range (± 2.5℃) compatible with interannual fluctuations. The associated vertical velocities and precipitation rates show proportionately stronger dependences on the ocean temperature perturbations. The Ohio Valley blizzard, which intensified along a track 700-800 km from the coast, shows little sensitivity to ocean temperature. The effect of a shift of - 10?latitude in the position of the snow boundary is negligible in each case. The forecasts depend strongly on the model resolution, and the coarse-resolution forecasts are consistently inferior to the medium-resolution forecasts. Studies of the corresponding sensitivities of extreme cyclonic events over eastern Asia are encouraged in order to identify characteristics that are common to numerical forecasts for the two regions.

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