Journal of Climate Change and Environmental Coordination

ENVIRONMENTAL MONITORING AND MODELLING: ADVANCEMENTS IN DATA INTEGRATION FOR CLIMATE DECISION-SUPPORT SYSTEMS

Faisal Shahid

Institute of Climate Change, COMSATS University, Islamabad, Pakistan.

Imran Iqbal

Department of Civil Engineering, University of Engineering and Technology, Lahore, Pakistan

Keywords: Data Integration, Environmental Monitoring, Climate Decision-Support Systems, Remote Sensing

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Abstract

Environmental monitoring and modelling have seen significant advancements in recent years, particularly through the integration of diverse data sources and modelling techniques to support climate decision-making. This paper explores the role of data integration in the development of climate decision-support systems (DSS), focusing on its implications for environmental monitoring. By incorporating data from remote sensing, ground-based measurements, and climate models, these systems provide a robust framework for predicting and managing the impacts of climate change. This study discusses the technologies involved in data integration, challenges faced, and the potential benefits of these systems in climate resilience strategies. The integration of large-scale data offers enhanced decision-making capabilities, promoting better policy formulation and environmental management. The paper concludes with a discussion of future trends in the field and recommendations for improving the accuracy and accessibility of climate data.

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References

Irk, E. (2025). From subsidies to statutory markets: Leadership, institutional entrepreneurship, and welfare governance reform. Lex Localis - Journal of Local Self-Government, 23(S6), 9549–9566. https://doi.org/10.52152/s59sjh53

Ahmad, N. R. (2026). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. Lex Localis - Journal of Local Self-Government, 24(S1), 99–117. https://doi.org/10.52152/wja5db40