Floodvision: A Tool for Fast and Comfortable Scenario-Based Visual Analysis of a Large Climate Datasets

Golubev, Kirill; Zagarskikh, Aleksandr; Moiseev, Alexander; Karsakov, Andrey

doi:10.1016/j.procs.2017.11.188

Cited by 1 publication

(3 citation statements)

References 15 publications

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“…Most of the authors used data in the NetCDF format; it is thus possible to observe that 8 of the 11 articles had the option of the NetCDF data format [37][38][39][40][41][42][43][44]. This is because this format encompasses a set of self-explanatory and independent software libraries and data formats that support object-oriented scientific data creation, access, and sharing.…”

Section: Resultsmentioning

confidence: 99%

“…Golubev et al [37] developed and designed a system for the visual analysis of meteorological data, more specifically hydro-meteorological, which was given the name of FloodVision. The system aims to allow for analyzing different meteorological phenomena and scenarios in real time and dynamically visualizing data fields simultaneously in a virtual globe; it was developed in various types of devices with an intuitive interface to be used by specialists and non-specialists in phenomena.…”

Section: Resultsmentioning

confidence: 99%

“…It should be noted that Helbig et al [38] implemented VRED reality technology. The articles reviewed by [37,42,46] did not present any user tests or tests with data already analyzed and validated in other existing systems. Only one of the articles provided tests with 40 users [45].…”

Section: Discussionmentioning

confidence: 99%

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A Brief Review on 4D Weather Visualization

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The accelerated changes on our planet have led to a growing interest in climate change and its consequences: natural hazards and adverse socio-economic impacts. However, the development of climate research and the proliferation of datasets require an integrated and efficient approach to the analysis, investigation, and visualization of atmospheric meteorological data. Thus, we propose a literature review of existing systems viewing meteorological phenomena in four and three dimensions. Moreover, we evaluate meteorological occurrences to better understand the dynamics associated with a meteorological phenomenon and visualize different weather data. Based on the investigation of tools and methods, we consider the existence of different ways of representing meteorological data and methodologies. However, it was imperative to obtain knowledge and create our way of visualizing weather data. This article found eleven existing solutions for 4D meteorological visualization and meteorological phenomena.

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