Comparative Analysis of Climate Models with INMET Data Using Hydrological Metrics and AI-Based Interpretation

• Wesley de Sousa Costa Unifesspa
• Gustavo Paixão Unifesspa
• Warley Junior Unifesspa
• Maurílio Monteiro Unifesspa
• Aline Oliveira Unifesspa
• Elton Alves Unifesspa

DOI: https://doi.org/10.5753/wcama.2025.9109

Abstract

In the context of climate change, there is a critical need to validate global climate models, which presents the challenge of comparing simulated data with real-world observations, particularly in complex regions such as the Amazon. To address this, this paper proposes the Climate Dataset Analyzer (CDA), an AI-based tool that employs hydrological metrics (KGE, NSE) to compare data from CEDA and INMET. The results reveal that CEDA models capture general precipitation trends but exhibit limitations in extreme events and microclimates, with significant variations in cities like Tarauacá and Palmas. It is concluded that CDA is an effective solution for climate analysis, though improvements, such as enabling simultaneous multi-model comparisons are required to enhance its applicability in climate studies.

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