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Weather Data Visualization and Analytical Platform

Authors :
Hrachya Astsatryan
Julien Aligon
Rita Abrahamyan
Anush Hakobyan
Hayk Grogoryan
Zarmandukht Petrosyan
Wahi Narsisian
Vladimir Sahakyan
Eliza Gyulgyulyan
Aram Kocharyan
Yuri Shoukourian
Centre National de la Recherche Scientifique - CNRS (FRANCE)
Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université Toulouse 1 Capitole - UT1 (FRANCE)
National Academy of Sciences of the Republic of Armenia (ARMENIA)
Armstatehydromet (ARMENIA)
Institut de Recherche en Informatique de Toulouse - IRIT (Toulouse, France)
Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Institute for Informatics and Automation Problems - IIAP (Yerevan, Armenie)
Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Source :
Scalable Computing: Practice and Experience
Publication Year :
2018

Abstract

This article aims to present a web-based interactive visualization and analytical platform for weather data in Armenia by integrating the three existing infrastructures for observational data, numerical weather prediction, and satellite image processing. The weather data used in the platform consists of near-surface atmospheric elements including air temperature, pressure, relative humidity, wind and precipitation. The visualization and analytical platform has been implemented for 2-m surface temperature. The platform gives Armenian State Hydrometeorological and Monitoring Service analytical capabilities to analyze the in-situ observations, model and satellite image data per station and region for a given period.

Details

ISSN :
18951767
Database :
OpenAIRE
Journal :
Scalable Computing: Practice and Experience
Accession number :
edsair.doi.dedup.....7ef39c1e1fe363035e018128eec5d233
Full Text :
https://doi.org/10.12694/scpe.v19i2.1351