Tailored Ensemble Prediction Systems: Application of Seamless Scale Bred Vectors

Ensemble Dynamics and Bred Vectors

We propose a variant of the Bred Vector (BV) algorithm, orginally introduced by Z. Toth and E. Kalnay (Bulletin of the American Meteorological Society 74:2317 2330, 1993) to assess the sensitivity of model outputs to changes in initial conditions for weather forecasting. The new algorithm, which we call the Ensemble Bred Vector or EBV, is based on collective dynamics in an essential way. As suc...

application of brand personality scale in automobile industry: the study of samand’s brand personality dimensions

این تحقیق شخصیت برند سمند را در ایران با استفاده از مدل پنج بعدی آکر (1997) بعنوان یک چهارچوب بطور توصیفی سنجیده است. بنابر این چهارچوب که دراصل در 42 جزء (42 ویزگی شخصیتی) ودر پنج بعد شخصیتی طراحی شده بود ودر کشورها وصنایع مختلف آزموده شده بود, پرسنامه به زبان فارسی ترجمه شده و با استفاده از روشهای ترجمه معکوس و مصاحبه عمیق با 12 متخصص ایرانی به 38 جزء کاهش یافت. و نظرسنجی ای در پنج نمایندگی ا...

Application-Tailored Databases for Real-Time Systems

Stochastic forcing , ensemble prediction systems , and TIGGE

Many operational NWP centres now produce global medium-range (≤ 14 day) and higher-resolution, limited-area, shorter-range (≤ 3 day) ensemble forecasts. These provide probabilistic guidance and early warning of the likelihood of high-impact weather. There are two main challenges in the design of ensemble prediction systems: (1) properly simulating the initial condition uncertainty, including th...

Application of coupled bred vectors to seasonal - to - interannual forecasting and ocean data assimilation

Coupled bred vectors (BVs), generated from the NASA/GMAO coupled general circulation model, are designed to capture the uncertainties related to slowly varying coupled instabilities. Two applications of the BVs are investigated in this study. First, the coupled BVs are used as initial perturbations for ensemble forecasting purposes. Results show that the seasonal-to-interannual variability fore...