کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6901912 | 1446496 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Floodvision: A Tool for Fast and Comfortable Scenario-Based Visual Analysis of a Large Climate Datasets
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
In this paper, we present FloodVision, a new system developed and designed especially for a visual analysis of hydro meteorological data ensembles. Data ensembles is a main data format for an analysis of different natural phenomena such as a flooding, an ice drifting, weather and climate changes. The ensembles describe some phenomenon on some area on the Earth surface and contain one or a few data fields, each of which have the dimension from 2D to 4D and describe the behavior of a single variable. FloodVision is a tool for the visualization of many data fields simultaneously, which are capable of visualizing scalar and vector fields, flow lines of vector fields or layers of georeferenced points. The data can be accessed either from the user's desktop PC or from the remote server. A user-friendly interface allows the data to be delivered to wide variety of potential users from narrow professionals to a public. The system was already used in the eScience Research Institute of ITMO University to help in projects of modelling phenomena in Baltic Sea and Arctic Ocean.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 119, 2017, Pages 298-306
Journal: Procedia Computer Science - Volume 119, 2017, Pages 298-306
نویسندگان
Kirill Golubev, Aleksandr Zagarskikh, Alexander Moiseev, Andrey Karsakov,