Swarnima SINGH, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, U.P., India, India
Climate science is a data-intensive subject. A recent surge in research with big data analytics and data mining is trying to fulfil the existing gaps in the understanding of complex climatic changes. This integration of big data with 5Vs including the volume, variety, value, velocity, and veracity into climatic change studies has opened up new opportunities for climate change research. A number of publications have dealt with the subject of big data and its applications for assessing the impact of climate change. The author has evaluated the available literature, with a particular focus on the potential in the System of Systems (SoS) theorem, as the synergies between diverse disciplines and research ideas must be explored to gain a comprehensive overview of the issue. This systematic literature review, examines big data in climate change research to present main contributions, gaps, and challenges. An analysis of the trends and the impact of published research is presented. Also, the study presents the findings in terms of yearly distribution, main journals, and most cited papers. Potential of new interventions of integrative tools in bridging the gap to study the complex phenomena of climatic changes analysis is highlighted.
Mots clés : Big data|climate change|System of Systems|Systematic review| Sustainability Science
A104819SS