نتایج جستجو برای: persiann model
تعداد نتایج: 2104420 فیلتر نتایج به سال:
"ENGINEER", established in 1973 by The Institution of Engineers, is a Journal for dissemination Engineering knowledge, published quarterly.If you are interested contributing an Original Technical Paper based on research the author(s) (intended Section I) or Article Professional interest related to Engineering. (Section II) this journal please go through publication checklist which can be downlo...
پراکنش نامناسب ایستگاههای اندازهگیری بارش در سطح زمین، باعث افزایش استفاده از منابع بارش شبکهبندی شده متشکل از منابع ماهوارهای، بازتحلیل و زمینی شده است. بنابراین، اندازهگیری و برآورد دقیق مقدار و رخدادهای بارش از اهمیت زیادی برخوردار است. با توسعه روزافزون تکنولوژیهای ماهوارهای در دهههای اخیر، امکان دسترسی به منابع بارشی با تفکیک مکانی و زمانی بالا برای بسیاری از نقاط جهان فراهم شده اس...
abstract this paper discusses several commonly used models for strategic marketing¹ including market environmental analysis methods (i.e. swot and pest analysis) and strategic marketing tools and techniques (i.e. boston matrix and shell directional policy matrix)and shows how these models may help a firm to achieve its strategic goals. at first, the main reason for doing this research is de...
Hourly or 3-hourly precipitation data from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) and Tropical Rainfall Measuring Mission (TRMM) 3B42 satellite products and rain gauge records are used to characterize East Asian summer monsoon rainfall, including spatial patterns in June–August (JJA) mean precipitation amount, frequency, and intensi...
rivers and runoff have always been of interest to human beings. in order to make use of the proper water resources, human societies, industrial and agricultural centers, etc. have usually been established near rivers. as the time goes on, these societies developed, and therefore water resources were extracted more and more. consequently, conditions of water quality of the rivers experienced rap...
This study uses a stochastic ensemble-based representation of satellite rainfall error to predict the propagation in flood simulation of three quasi-global-scale satellite rainfall products across a range of basin scales. The study is conducted on the Tar-Pamlico River basin in the southeastern United States based on 2 years of data (2004 and 2006). The NWSMultisensor Precipitation Estimator (M...
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