کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6411264 1629928 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A methodology for deriving ensemble response from multimodel simulations
ترجمه فارسی عنوان
یک روش برای ردیابی واکنش گروه از شبیه سازی های چندبعدی
کلمات کلیدی
درجه حرارت، بارش، پاسخ گروهی، آب و هوا، مشاوره تخصصی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی


- A novel algorithm for deriving ensemble response for multimodel simulations.
- An Expert Advice (EA) approach as an alternative to ensemble mean.
- A generalized method applicable to different hydrologic variables.

SummaryMultimodel ensembles are widely used to quantify uncertainties of climate model simulations. Previous studies have confirmed that a multimodel ensemble approach increases the skill of model simulations. However, one may need to know which ensemble member is more likely to be true, particularly when the ensemble is spread out over a wide area. Typically, ensemble response (climate response) is derived by taking the mean or median of ensemble members. However, strong similarities exist between models (members of an ensemble) which may cause biased climate response toward models with strong similarities. In this study, a model is proposed for deriving the climate response (ensemble response) of multimodel climate model simulations. The approach is based on the concept of Expert Advice (EA) algorithm which has been successfully applied to the financial sector. The goal of this methodology is to derive an ensemble response that at every time step is equal or better (less error) than the best model. The methodology is tested using the CMIP5 historical temperature simulations (1951-2005) and Climatic Research Unit observations, and the results show that the EA algorithm leads to smaller error compared to the ensemble mean.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 522, March 2015, Pages 49-57
نویسندگان
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