نتایج جستجو برای: numerical prediction models
تعداد نتایج: 1386033 فیلتر نتایج به سال:
background: landfills are the most important producers of methane as human source. so, prediction of landfill gas generation is by far the most important concern of scientists, decision makers, and landfill owners as well as health authorities. almost all the currently used models are based on monod equation first order decay rate which is experimental while the main purpose of this research is...
In this article, the accuracy of empirical and numerical methods in prediction of wind wave characteristics in AmirAbad and Bushehr Ports have been studied, evaluated and compared. First, the wave characteristics have been calculated using Babolsar and Bushehr synoptic stations and employing empirical methods including SMB, SPM and CEM. Moreover the errors of empirical methods have been determi...
The summer school was organized by the Dynamical Processes and Predictability Working Group (PDP WG) of THORPEX1. THORPEX is a 10-year international research and development program to accelerate improvements in the accuracy of one-day to two-week high impact weather forecasts for the benefit of society, the economy and the environment. The PDP WG provides the connection between the operational...
China Meteorological Administration (CMA) and regional centers have developed their own Numerical Weather Prediction (NWP) operation systems, which work process is complicated, including data preprocessing, analysis, model forecast, post-processing, visualization and other aspects but were lack of a unified management and monitoring. Based on the demands of NWP operation systems, this article g...
1. Introduction Prediction uncertainty is the likely discrepancy between model predictions and the actual, unrealized system responses. Contributions to uncertainty include solution error and limited capabilities of numerical models, error and deficiency of data, and errors in system conceptual models. Uncertainty can be reduced by improving numerical models and using numerical models, data, an...
NLARX (NonLinear AutoRegresive with eXogenous inputs) models are frequently used in black-box nonlinear system identi cation. Though it is easy to make one step ahead prediction with such models, multiple steps prediction ids far from trivial. The main di culty is that in general there is no easy way to compute the mathemaical expectation of an output conditioned by past measurements. An optima...
mathematical simulation of flow toward drains is an important and indispensable stage in drainage design and management. many related models have been developed, but most of them simulate the saturated flow toward drains without a due consideration of the unsaturated zone. in this study, the two dimensional differential equation governing saturated and unsaturated flow in porous media is numeri...
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