Real-time storm surge and inundation forecast for very severe cyclonic storm 'Hudhud'

被引:23
|
作者
Murty, P. L. N. [1 ]
Padmanabham, J. [1 ]
Kumar, T. Srinivasa [1 ]
Kumar, N. Kiran [1 ]
Chandra, V. Ravi [1 ]
Shenoi, S. S. C. [1 ]
Mohapatra, M. [2 ]
机构
[1] Earth Syst Sci Org, Indian Natl Ctr Ocean Informat Serv, Hyderabad 500090, Andhra Pradesh, India
[2] Indian Meteorol Dept, New Delhi 110003, India
关键词
Storm surge early warning system; Inundation; Hudhud cyclone; Decision support system; MODEL FORECASTS; BAY; BENGAL; PHAILIN; TIDE;
D O I
10.1016/j.oceaneng.2016.12.026
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The high population density along the coastal stretch of India necessitates a real-time storm surge warning system. Keeping this in view, the Earth System Science Organization (ESSO) - Indian National Centre for Ocean Information Services (INCOIS) initiated the Storm Surge Early Warning System (SSEWS) for Indian coasts using the ADCIRC (Advanced Circulation) model. ADCIRC is a finite-element based, depth-integrated shallow water model that can be used to model storm surges and for other coastal applications. This warning system utilizes the automated Decision Support System (DSS) based on Geographic Information System (GIS) and database technology. Wind and pressure fields are generated using the Jelesinanski and Taylor dynamic wind model which make use of track forecasts from IMD. While DSS was initially tested for the very severe cyclonic storm 'Phailin' (October, 2013) in experimental mode, it was used for the first time to provide real-time storm surge and inundation forecasts during cyclone Iludhud' (October, 2014). In this paper, we highlight the performance of SSEWS during this event while comparing with observations. Forecasts from SSEWS were found to be quite promising and proving its capability.
引用
收藏
页码:25 / 35
页数:11
相关论文
共 50 条
  • [41] Ocean ambient noise off Chennai due to very severe cyclonic storm Vardah
    Ashokan, M.
    Latha, G.
    Raguraman, G.
    APPLIED ACOUSTICS, 2018, 140 : 256 - 262
  • [42] Combined storm surge and wave overtopping inundation based on fully coupled storm surge-wave-tide model
    Jo, Junbeom
    Kim, Sooyoul
    Mori, Nobuhito
    Mase, Hajime
    COASTAL ENGINEERING, 2024, 189
  • [43] An Adaptive Local Time-Stepping Method Applied to Storm Surge Inundation Simulation
    Yu, Pubing
    Ji, Tao
    Wu, Xiuguang
    Chen, Yifan
    Liu, Guilin
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2025, 13 (03)
  • [44] RESEARCH ON A MATHEMATICAL MODEL OF STORM SURGE AND INUNDATION IN BOHAI BAY
    Li, Da-ming
    Fu, Qing-jun
    PROCEEDINGS OF THE ASME 29TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2010, VOL 1, 2010, : 673 - 677
  • [45] Mitigation measures of storm surge inundation at an onshore aquaculture farm
    Wang, Linlin
    Hu, Shikun
    Han, Jing-Cheng
    Hu, Peng
    Yu, Xuan
    JOURNAL OF HYDROLOGY, 2024, 638
  • [46] A storm surge inundation model for coastal planning and impact studies
    Hubbert, GD
    McInnes, KL
    JOURNAL OF COASTAL RESEARCH, 1999, 15 (01) : 168 - 185
  • [47] THE SEVERE CONVECTIVE STORM FORECAST SPECTRUM
    MILLER, RC
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1980, 61 (03) : 280 - 280
  • [48] A Forecast and Risk Assessment Model for Storm Surge Impacts
    Zhang, Ling
    Liu, Qiang
    Yang, Shuo
    ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING IV, 2014, 580-583 : 2635 - +
  • [49] A storm surge numerical forecast system based on GIS
    Yu, FJ
    Zhang, ZH
    Lin, YH
    HYDRAULICS FOR MARITIME ENGINEERING, THEME E, PROCEEDINGS: 21ST CENTURY: THE NEW ERA FOR HYDRAULIC RESEARCH AND ITS APPLICATIONS, 2001, : 454 - 459
  • [50] Forecast of storm surge by means of artificial neural network
    Sztobryn, M
    JOURNAL OF SEA RESEARCH, 2003, 49 (04) : 317 - 322