کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8895237 | 1629898 | 2018 | 44 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using genetic algorithms to optimize the analogue method for precipitation prediction in the Swiss Alps
ترجمه فارسی عنوان
با استفاده از الگوریتم ژنتیک برای بهینه سازی روش آنالوگ برای پیش بینی بارش در آلپ
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کلمات کلیدی
پیش بینی بارش، روش آنالوگ، بهینه سازی، الگوریتم ژنتیک، آب و هوای آلپ،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
چکیده انگلیسی
The global optimization was applied to some variants of the analogue method for the Rhône catchment in the Swiss Alps. The performance scores increased compared to reference methods, especially for days with high precipitation totals. The resulting parameters were found to be relevant and coherent between the different subregions of the catchment. Moreover, they were obtained automatically and objectively, which reduces the effort that needs to be invested in exploration attempts when adapting the method to a new region or for a new predictand. For example, it obviates the need to assess a large number of combinations of pressure levels and temporal windows of predictor variables that were manually selected beforehand. The optimization could also take into account parameter inter-dependencies. In addition, the approach allowed for new degrees of freedom, such as a possible weighting between pressure levels, and non-overlapping spatial windows.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 556, January 2018, Pages 1220-1231
Journal: Journal of Hydrology - Volume 556, January 2018, Pages 1220-1231
نویسندگان
Pascal Horton, Michel Jaboyedoff, Charles Obled,