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

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.