WEATHER DATA VISUALIZATION AND ANALYTICAL PLATFORM

被引：4

作者：

Astsatryan, Hrachya

Grigoryan, Hayk

Gyulgyulyan, Eliza

Hakobyan, Anush

Kocharyan, Aram

Narsisian, Wahi

Sahakyan, Vladimir

Shoukourian, Yuri

Mkoyan, Artur ^{[1
]}

Abrahamyan, Rita

Petrosyan, Zarmandukht ^{[2
]}

Aligon, Julien ^{[3
]}

机构：

[1] Natl Acad Sci Republ Armenia, Inst Informat & Automat Problems, 1 P Sevak Str, Yerevan 0014, Armenia

[2] Armenian State Hydrometeorol & Monitoring Serv, 09-8 A Mikoyan Str 4th Block Davitashen, Yerevan 0054, Armenia

[3] Univ Toulouse, 41 Alles Jules Guesde CS 61321, Toulouse, France

来源：

SCALABLE COMPUTING-PRACTICE AND EXPERIENCE | 2018年 / 19卷 / 02期

关键词：

Weather data; OLAP; web-based visualization; observational data; numerical weather prediction; satellite image processing;

D O I：

10.12694/scpe.v19i2.1351

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：79 / 86

页数：8

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