2018 CSDMS meeting-061: Difference between revisions
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{{CSDMS meeting select clinics1 2018 | {{CSDMS meeting select clinics1 2018 | ||
|CSDMS_meeting_select_clinics1_2018= | |CSDMS_meeting_select_clinics1_2018=4) Sediment Experimentalist Network | ||
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{{CSDMS meeting select clinics2 2018 | {{CSDMS meeting select clinics2 2018 | ||
|CSDMS_meeting_select_clinics2_2018= | |CSDMS_meeting_select_clinics2_2018=3) Data for natural hazards | ||
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{{CSDMS meeting select clinics3 2018 | {{CSDMS meeting select clinics3 2018 | ||
|CSDMS_meeting_select_clinics3_2018= | |CSDMS_meeting_select_clinics3_2018=4) Artificial Intelligence & Machine Learning | ||
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{{CSDMS scholarships yes no | {{CSDMS scholarships yes no | ||
|CSDMS meeting scholarships= | |CSDMS meeting scholarships=Yes | ||
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{{CSDMS meeting abstract yes no 2018 | {{CSDMS meeting abstract yes no 2018 | ||
Latest revision as of 13:29, 21 February 2018
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A Sensitivity Analysis of the Effect of Parametric Wind Model Inputs on Hurricane Storm Surge Simulations
The high speed winds of a hurricane account for 95% of a hurricane’s storm surge. Thus, parametric wind models are vital components of numerical storm surge modeling. These parametric hurricane wind models are used as inputs for a storm surge computation to hindcast and forecast hurricane surge heights. These wind models are dependent on several input parameters including but not limited to the radius at which the maximum wind speed of the hurricane occurs and the speed of the maximum winds. The impact of these input parameters on the final surge computation is not well known. Our study is a sensitivity analysis of the effect of uncertainty in the input parameters on the uncertainty in the final computation of the storm surge model. This study will help us to understand the robustness of a parametric wind model, the parameters that must be precise in order to reduce model error, and can aid in model simplification.
