نتایج جستجو برای: wg model required data for lars
تعداد نتایج: 11447188 فیلتر نتایج به سال:
a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...
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...
Stochastic weather generators are used in different studies which often require long series of daily weather data for risk assessment. They can produce synthetic daily time series of any length. Any generator should be tested to ensure that the synthetic data is proper for the purposes for which it is to be used. The main objective of this paper is to test a stochastic weather generator, LARS-W...
introduction because of the vital role of water in human life, examining the phenomenon of climate change effects on drought severity and frequency is important for any area of interest. nowadays, climate researchers considers the effects of climate change and climate simulations by using the atmospheric-ocean general circulation models. to achieve the prediction of climatologically parameters,...
در این پژوهش برای بررسی و آشکار سازی تغییر اقلیم در شهر خرم آباد با استفاده از تیپ های همدید هوا از چهار پارامتر بارش، دمای حداقل، دمای حداکثر و ساعت آفتابی استفاده شده است. بر این اساس، پس از ارزیابی مدل lars-wg، داده های روزانه خروجی مدل hadcm3 تحت سناریوی a1b، a2 و b1 برای سه دوره ی 2030-2011، 2065-2046 و 2099-2080 توسط مدل lars-wg ریز مقیاس و پیش بینی شدند. سپس تیپ های همدید منطقه برای سه د...
this present research work was carried out to evaluate the energy consumption in a typical iranian building based on the forecast of climatic variables. thus, the lars-wg model was validated for some northwest stations of iran, including tabriz, ardebil, oromieh, kermanshah, hamedan, sannandaj, qazvin, and zanjan. the average monthly outdoor temperature was forecasted from 2011 to 2100. the rel...
the west of esfahan province, iran, is one of the most important agricultural areas throughout the country due to the climate variability and life-giving water of zayanderood river. rice is one of the major and economic crops in this area. the most important climatic elements in agricultural activities which should be considered include temperature, relative humidity, precipitation and wind. so...
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
. introduction most of the warming over the last 50 years has been caused by emissions of carbon dioxide (co2) and other greenhouse gases due to human activities. observed changes in the climate due to increasing greenhouse-gas concentrations have made it essential to investigate these changes. the general circulation model (gcm) is the most current method of investigating climate change studie...
weather data generators (wgs) have been developed for an extension of time series of such weather variables as rainfall, temperature and relative humidity to provide better understanding of systems affected by climatic factors. different algorithms have been applied in these generators, broadly divided into parametric & non-parametric ones. in this study, the performance of non-parametric gener...
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