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
  • [21] Estimation of storm surge inundation and hazard mapping
    Yoon, Jong-Joo
    Shim, Jae-Seol
    Jun, Ki-Chun
    Kim, Jin-A
    OCEANS, 2012 - YEOSU, 2012,
  • [22] A National View of Storm Surge Risk and Inundation
    Zachry, Brian C.
    Booth, William J.
    Rhome, Jamie R.
    Sharon, Tarah M.
    WEATHER CLIMATE AND SOCIETY, 2015, 7 (02) : 109 - 117
  • [23] Application of statistical - dynamical scheme for real time forecasting of the Bay of Bengal very severe cyclonic storm "SIDR" of November 2007
    Kotal, S. D.
    Bhowmik, S. K. Roy
    Kundu, P. K.
    GEOFIZIKA, 2008, 25 (02) : 139 - 158
  • [24] On the dynamics of cyclogenesis, rapid intensification and recurvature of the very severe cyclonic storm, Ockhi
    Sanap, S. D.
    Mohapatra, M.
    Ali, M. M.
    Priya, P.
    Varaprasad, D.
    JOURNAL OF EARTH SYSTEM SCIENCE, 2020, 129 (01)
  • [25] On the dynamics of cyclogenesis, rapid intensification and recurvature of the very severe cyclonic storm, Ockhi
    S D Sanap
    M Mohapatra
    M M Ali
    P Priya
    D Varaprasad
    Journal of Earth System Science, 2020, 129
  • [26] An assessment of a very severe cyclonic storm in the Arabian sea using the COSMO model
    S. Roshny
    D. Bala Subrahamanyam
    T. J. Anurose
    Radhika Ramachandran
    SN Applied Sciences, 2020, 2
  • [27] Real-Time Simulated Storm Surge Predictions during Hurricane Michael (2018)
    Bilskie, M. V.
    Asher, T. G.
    Miller, P. W.
    Fleming, J. G.
    Hagen, S. C.
    Luettich Jr., R. A.
    WEATHER AND FORECASTING, 2022, 37 (07) : 1085 - 1102
  • [28] New Real-Time Storm Surge Monitoring Network in Mobile Bay, Alabama
    Landon, Thomas F.
    Heitsenrether, Robert M.
    2012 OCEANS, 2012,
  • [29] An assessment of a very severe cyclonic storm in the Arabian sea using the COSMO model
    Roshny, S.
    Subrahamanyam, D. Bala
    Anurose, T. J.
    Ramachandran, Radhika
    SN APPLIED SCIENCES, 2020, 2 (11):
  • [30] Options for real-time forecasting of storm tide inundation for emergency management in Queensland, Australia
    Burston, J. M.
    Nose, T.
    Tomlinson, R.
    2013 OCEANS - SAN DIEGO, 2013,