Registration for the conference is now open!
If you have any doubt, and want to contact us, send an e-mail to ci2025@climateinformatics.com.br
Talks
Break
Plenary Talk
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The Pressing climate emergency and the imperative to advance climate modelling
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Prithvi models family: foundation models for Earth sciences
Panel Discussion
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Bianca Zadrozny, Claire Monteleoni, Luis Martí, Patrick Valduriez, Paulo Orenstein
Discussion
Ocean
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Simulation Informed Metric and Prior for Generative Ocean Analysis
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Optimizing Gumbel-Softmax-Based Adaptive Sensor Placement for the Reconstruction of ocean states
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End-to-end neural forecasting of upper ocean dynamics from sparse observations using 4dVarNets
Hydrology
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Precipitation nowcasting of satellite data using physically conditioned neural networks
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Connecting Drought Metrics: Predicting USDM Using PDSI for Climate Risk Assessment
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Creating Global Gridded Climate Datasets Using Transfer Learning
Remote Sensing
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Refining Infrared-Only Rainfall Estimation with Deep Learning
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Feature extraction for methane plume segmentation using hyperspectral images
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Discrete Variational Autoencoders for Synthetic Nighttime Visible Satellite Imagery
Weather and Climate 1
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ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching
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CNN-based forecasting of early winter NAO using sea surface temperature
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Multivariate generative downscaling from GCM to RCM data using the energy score
Weather and Climate 2
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Enhancing Meteorological Predictions: AI Approaches for Synoptic Weather Maps
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A self-supervised model for multi-source forecasting with application to tropical cyclones
Weather and Climate 3
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Wave Spectra Correction (WASCO) application for multiple locations
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A Benchmark for Evaluating Outputs of Earth System Models based on Perceptual Similarity Metrics
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Detection Strategies for Aviation Contrail Characterization and Climate Impact Assessment
Societal impacts 1
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(Withdrawn) Deep Learning and Copula Modeling for Predicting Climate-related Home Insurance Risks
on We, 10:30 Live in Auditorium
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Leveraging Artificial Intelligence for ESG Risk Assessment and Climate Adaptation
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A Multimodal AI Model for Understanding the Climate-Driven Insurance Crisis across the U.S.
Societal impacts 2
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Creation of a natural hazard geodatabase from digital mass media using a large language model
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(Withdrawn) Implementation of a Machine-Learning Model for Climate Resilience Assessment of School Infrastructure in Sub-Saharan Africa
on We, 13:20 Live in Auditorium
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Interpretable Heatwave Prediction Using Quantile-Based Gradient Boosting Models
Regional Studies & Social impacts
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Data analysis and mobile dashboard development for a flood event in Rio de Janeiro
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Determining the surface temperature of the state of Maranhão-Brazil
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Multi-Hazard Disruptions and Resilience study of 35 urban metros across the world
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The Energy Footprint of Artificial Intelligence: Tokenization, Consumption, and Challenges