ECAWsoft: A Web based Climate and Weather Data Visualization for Big Data Analysis

Authors

  • Kadeghe G Fue

  • Camilius A. Sanga

Keywords:

climate, weather, visualization, system, big data

Abstract

Purpose: In Tanzania, data for climate and weather are normally analyzed by Meteorological Agency and then are published through TV, website and radio. Different stakeholders normally obtain the weather and climate data / information in a generalized way. This calls for a need of a system which allows data to be shared openly to different stakeholders so that they can analyze those data as per their specific needs. The paper presents the overview of the developed system, ECAWsoft. Also, it gives some few interfaces showing different outputs from the system. Findings: The goal of this paper has been attained by developing a working data visualization tool for climate and weather called ECAWsoft. The system is current operational and is providing open data for different stakeholders. It is user friendly and interactive with capability of displaying visualization of data as per fine granularity required by user. Development of open data system for data visualization has lead to a transparency system which is helping farmers, researchers, policy makers (etc.) to make informed decision on weather and climate. Practical implications: The system presented in this paper need to be scaled up so that more data from all weather stations in Tanzania can be populated in real time. Originality/value: The development and adoption of open systems for visualizing weather and climate data remains seriously lacking in many countries including Tanzania. This paper provides an overview of some initiative to fill such a research gap.

How to Cite

Kadeghe G Fue, & Camilius A. Sanga. (2017). ECAWsoft: A Web based Climate and Weather Data Visualization for Big Data Analysis. Global Journal of Computer Science and Technology, 17(H1), 33–44. Retrieved from https://computerresearch.org/index.php/computer/article/view/1518

ECAWsoft: A Web based Climate and Weather Data Visualization for Big Data Analysis

Published

2017-01-15