کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5473474 | 1520329 | 2017 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Calibrating and assessing uncertainty in coastal numerical models
ترجمه فارسی عنوان
کالیبراسیون و ارزیابی عدم قطعیت در مدل های عددی ساحلی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی دریا (اقیانوس)
چکیده انگلیسی
As the methodology and philosophy of GLUE is well established in other fields, this paper presents a practical case study to explore the strengths and weaknesses of the method when applied to a relatively complex coastal numerical model (XBeach). The results obtained are compared to a previously reported and more 'standard' model calibration undertaken within the context of a coastal storm early warning system. While the GLUE method requires orders of magnitude more computational power, it is shown that its use in place of the more common one-at-a-time 'trial-and-error' approach to model calibration, provides: a significant improvement in predictive skill; a more rigorous evaluation of the model sensitivity to parameters; the ability to identify distinct differences in the XBeach model performance dependent on dune impact processes; and additional analysis including the quantification of parameter-induced uncertainty.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Coastal Engineering - Volume 125, July 2017, Pages 28-41
Journal: Coastal Engineering - Volume 125, July 2017, Pages 28-41
نویسندگان
Joshua A. Simmons, Mitchell D. Harley, Lucy A. Marshall, Ian L. Turner, Kristen D. Splinter, Ronald J. Cox,