نتایج جستجو برای: statistical model lars
تعداد نتایج: 2375475 فیلتر نتایج به سال:
Climate change is an unprecedented change are taking place. Changes of meteorological parameters such as precipitation, maximum and minimum temperatures. Since weather forecasting is important for these parameters, in this study, the performance of Statistical Downscaling Model (SDSM and Lars-WG) were used to predict temperature and precipitation and mean of these changes for the periods 2046-2...
this study aims to evaluate effects of two downscaling methods; change-factor and statistical downscaling on therunoff of the azam-harat river located at yazd province (with an arid climate) of iran, under the a2 emission scenariofor the period of 2010-2039. for this purpose, cgcm3-ar4 model; a rainfall-runoff conceptual model, ihacres; twodownscaling models, change factor and lars-wg were appl...
daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol and abbaspour, 2007:301). using generated data can help to fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). lars-wg is ...
introduction daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol andabbaspour, 2007: 301). using generated data can help fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). l...
introduction linking resolution global climate models to local scale as a micro climatic process is a significant issue. recently, attempts have been made by the climatology scientists to develop dynamics and statistical downscaling methods to express climate change at a local and regional scale. two general techniques are been used for downscaling of the output of general circulation models (g...
This study aims to evaluate effects of two downscaling methods; change-factor and statistical downscaling on therunoff of the Azam-Harat River located at Yazd province (with an arid climate) of Iran, under the A2 emission scenariofor the period of 2010-2039. For this purpose, CGCM3-AR4 model; a rainfall-runoff conceptual model, IHACRES; twodownscaling models, Change Factor and LARS-WG were appl...
Many applications in signal processing lead to the optimization problems min ‖x‖1 subject to y = Ax, and min ‖x‖1 subject to ‖y −Ax‖ ≤ ε, where A is a given d times n matrix, d < n, and y is a given n× 1 vector. In this work we consider `1 minimization by using LARS, Lasso, and homotopy methods [1, 2, 3] (Efron et el., Tibshirani, Osborne et al.). While these methods were first proposed for use...
drought is transient phenomenon , slow , repetitive and integral part of the climate of each region. drought begins with a substantial reduction in precipitation over the long-term average rainfall and over time, reduced soil moisture and surface and ground water resources will continue to decrease. this phenomenon is the most important in bakhtegan basin because of its importance in strategic ...
In the present research, the climate change effect on variation of surface runoff of Zarrinehrud located in the Miandoab plain was investigated. In this direction, the scenarios including A1B, A2 and B1 via LARS-WG downscaling model and with applying the HadCM3 general circulation model and artificial neural network model in two different periods (2046-2065, 2080 -2099) were studied. For thi...
در مطالعه عمیق روی توزیع زاویه ای پاره های شکافت در واکنش یون سنگین ناهمسانگردی های زیادی دیده شده است. این ناهمسانگردی ها را می توان توسط نظریه استاندارد آماری (tsm)(transition statistical state model) توضیح داد.46علت وجود این ناهمسانگردی ها را می توان به اسپین بالا یا z2/a هسته شکافت پذیر نسبت داد1. برای ناهمسانگردیهای بیشترمی -توان از مدل آماری انقطاع (ssm)استفاده کرد. در این مدل توزیع تصویر...
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