نتایج جستجو برای: 2003materials and methodsto modeling thunderstorm rainfall
تعداد نتایج: 16894247 فیلتر نتایج به سال:
The importance of narrow zones of boundary layer convergence (or boundaries) for thunderstorm development and evolution has been recognized since the days of the Thunderstorm Project. Boundary detection and characterization are primary objectives of automated nowcasting systems, which employ surface data, radar and satellite observations of current storms and trends in their intensity to foreca...
among different models for runoff estimation in watershed management, the soil conservation services-curve number (scs-cn) method along with its modifications have been widely applied to ungauged watersheds because of quickly and more accurate estimation of surface runoff. this approach has been widely accepted by hydrologists, water resources planners, foresters, and engineers, as well. theref...
The hydrology of a river basin interacts with its geomorphic form. Despite significant advances in hydrological modeling, the dynamic interactions between geomorphic, hydrologic and ecological processes are not adequately captured at the basin scale. There is a need for advanced modeling tools that address both runoff and erosion prediction in sufficient spatial and temporal detail for explorin...
One of the key challenges of climate science today is the understanding and prediction of rainfall and other precipitation events [6]. It holds high values for both scientists and policymakers in terms of obtaining novel scientific insight into the processes of precipitation formation, as well as predictions and associated uncertainties which decide future policy decisions based on them. One of...
Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have an accurate model for rainfall prediction. Recently, several data-driven modeling approaches have been investigated to perform such forecasting tasks as multilayer perceptron neural networks (MLP-NN). In fact, ...
High-resolution regional reanalysis datasets have the potential to provide valuable guidance emergency management agencies, highlighting areas at risk of severe weather, including estimates return periods various hazardous weather phenomena. The BARRA for Australia comprises a broad region around moderately high spatial and temporal resolution (12 km/hourly), together with four subdomains (1.5 ...
Each year, extreme floods, which appear to be occurring more frequently in recent years (owing to climate change), lead to enormous economic damage and human suffering around the world. It is therefore imperative to be able to accurately predict both the occurrence time and magnitude of peak discharge in advance of an impending flood event. The use of meta-heuristic techniques in rainfall-runof...
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