by James Cook University of North Queensland, Dept. of Civil & Systems Engineering in [Townsville, Australia] .
Written in English
Includes a bibliography.
|Statement||by R. J. Sobey, B. A. Harper, K. P. Stark.|
|Series||Research bulletin - Department of Civil and Systems Engineering, James Cook University of North Queensland ; CS14, Research bulletin (James Cook University of North Queensland. Dept. of Civil and Systems Engineering) ;, CS14.|
|Contributions||Harper, B. A., joint author., Stark, K. P., joint author.|
|LC Classifications||QC942 .S62|
|The Physical Object|
|Pagination||ca. 350 leaves in various foliations :|
|Number of Pages||350|
|LC Control Number||80469644|
Progress in numerical simulation of tropical cyclones is carefully reviewed. Modern, three-dimensional models succeed in simulating observed features such as the eye and spiral rain bands and in predicting storm motion over time intervals of three days. Current capabilities to predict and modify hurricanes and tropical cyclones are fully examined. The modeling system has been tested for both stand-alone and coupled simulations of Hurricane Katrina, as well as oceanic responses in terms of surface waves and storm surge. Coupled simulations reveal significant contributions from wind-wave and wave-current coupling, as well as sea spray effects to the intensity change of Hurricane Katrina as. This is achieved by carrying out a numerical simulation of the storm surge generated by Tropical Cyclone Jane and analyzing the numerical model results in terms of coastally trapped wave processes. In section 2 we describe the observations in more by: This work outlines a dynamic modeling framework to examine the effects of global climate change, and sea level rise (SLR) in particular, on tropical cyclone-driven storm surge inundation. The methodology, applied across the northern Gulf of Mexico, adapts a present day large-domain, high resolution, tide, wind-wave, and hurricane storm surge model to characterize the potential outlook of the.
Books; Other Publications. ; Volume 4, Issue 5. Research Article. Open Access. Dynamic simulation and numerical analysis of hurricane storm surge under sea level rise with geomorphologic changes along the northern Gulf of Mexico (SLR) in particular, on tropical cyclone‐driven storm surge inundation. The methodology, applied. Cyclones, cyclone-related monsoon seasons and vulnerable regions prone to cyclone attacks are investigated. Giri, the most intensive cyclone attacked the Rakhine coast, is selected, numerical simulation study of Giri induced storm surge has been carried out with MIKE21, and the storm surge properties are discussed and analyzed. Three different numerical models are used to simulate the surge generated by the Andhra cyclone. In each of these we simulate the effect of three days of wind‐stress forcing before landfall of the cyclone at the Andhra Pradesh coast. the analysis area in the first model includes the entire Bay of Bengal north of 6°N and utilizes a curvilinear boundary treatment to represent the. Extensive storm surge modeling applications have been made with existing modeling systems and some of them are described in this chapter. The authors recognize the importance of evaluating river-ocean interactions in coastal environments during tropical cyclones. Therefore, the coupling of hydraulic (riverine) and storm surge models is discussed.
The chapters in the book are authored by leading international experts from academic, research and operational environments. The book is also expected to stimulate critical thinking for cyclone forecasters and researchers, managers, policy makers, and graduate and post-graduate students to carry out future research in the field of TCs. Winds, waves and storm surges of Gonu and Ashobaa, as two recent cyclones in the Arabian Sea and Gulf of Oman, are simulated by a system of WRF-FVCOM-SWAN. The employed models are separately calibrated using the available data. Surges are found to be highly dependent on coastal geometry and landfall location, rather than the storm intensity. A coupled regional ocean and weather numerical modeling system (CROWN) is constructed and applied to simulate the interaction between the ocean and tropical cyclones. The CROWN modeling system consists of the regional version of the Weather Research and Forecasting (WRF) model; the Princeton Ocean Model (POM); and a third-generation ocean surface wave model (Simulating WAves . Considering typhoons No. , No. , and No. as the basic typhoons, ten hypothetical cyclones with typical tracks and minimum central pressure occurring during the period from to were designed, providing the driving conditions for numerical simulation of typhoon-induced storm surges along the Jiangsu by: 8.