نتایج جستجو برای: 2003materials and methodsto modeling thunderstorm rainfall
تعداد نتایج: 16894247 فیلتر نتایج به سال:
Rainfall-runoff relationship is very important in many fields of hydrology such as water supply and water resourcemanagement and there are many models in this field. Among these models, the Artificial Neural Network (ANN) wasfound suitable for processing rainfall-runoff and opened various approaches in hydrological modeling. In addition,ANNs are quick and flexible approaches which provide very ...
Thunderstorms are convective systems characterised by the occurrence of lightning. Lightning and thunderstorm activity has been increasingly studied in recent years in relation to the El Niño/Southern Oscillation (ENSO) and various other large-scale modes of atmospheric and oceanic variability. Large-scale modes of variability can sometimes be predictable several months in advance, suggesting p...
Rainfall is one of the most significant parameters in a hydrological model. Several models have been developed to analyze and predict the rainfall forecast. In recent years, wavelet techniques have been widely applied to various water resources research because of their timefrequency representation. In this paper an attempt has been made to find an alternative method for rainfall prediction by ...
STOCHASTIC MODELING ON ERROR STRUCTURE OF REAL-TIME PREDICTED RAINFALL AND RAINFALL FIELD GENERATION
introduction prediction of thunderstorm is one of the most difficult issues in weather forecasting. deep convective clouds develop at small spatial and temporal dimensions about 1-10 km and 1-12 h. various thermodynamic parameters have been discovered over the past 40 years, according to data obtained by radiosounds. the capability of these indices in forecasting instability varies over time an...
Heavy precipitation plays a significant role in arid and semi-arid regions of Iran. In order to understand the effect of blocking high system on rainfalls in northwest Iran during 25 - 28 October 2008, meteorological conditions including pressure, wind fields and temperature at multiple levels of the atmosphere were analyzed. Sea level pressure, the 1000-500 hPa thickness, perceptible water, re...
The purpose of this paper is to demonstrate that a finite state cellular automata model is suitable for modeling rainfall in the space-time plane. The time-series properties of the simulated series are matched with historical rainfall data gathered from Whenuapai, NZ. The spatial scale of the model cells in related to land-area by optimizing the cross-correlation between sites at lag 0 relative...
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