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AI DRIVEN-WEATHER MONITORING AND FORECAST: THE PROSPECTS AND STRATEGIES AS PERCEIVED BY ENVIRONMENT EXPERTS
ABSTRACT
This study explores the transformative role of Artificial Intelligence
(AI) in modern weather monitoring and forecasting, focusing on its prospects
and strategic applications as perceived by environmental experts. AI
technologies, particularly machine learning and neural networks, enhance
prediction accuracy and disaster preparedness by analyzing vast meteorological
datasets. Experts emphasize the integration of AI with traditional models for
improved efficiency and reliability. Key strategies include data openness,
ethical governance, and interdisciplinary collaboration. The paper highlights
the importance of localized forecasting, capacity building, and policy support.
Findings suggest that AI holds significant promise for climate resilience. The
study concluded that experts emphasize the need for strategic integration,
including data sharing, ethical safeguards, and cross-sector collaboration. The
study also recommended that it helps to develop guidelines for ethical AI use,
addressing algorithmic bias, explainability, and data governance to maintain
public trust and equitable outcomes.
KEYWORD: Artificial
Intelligence (AI), Weather Forecasting, Environmental Monitoring, Environment
Expert
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