Climate Informatics 2025

Program

Preliminary program as of 2025-Apr-09, 03:52(Eastern).

# Auditorium
9:00 ! Live

Welcome & Overview

:5
:10
:15
:20 ! Live

The Pressing climate emergency and the imperative to advance climate modelling

Saulo Ribeiro de Freitas

:25
:30
:35
:40
:45
:50
:55
10:00
:5
:10
:15
:20 ! Live

Break

:25
:30
:35
:40
:45
:50 ! Live

Simulation Informed Metric and Prior for Generative Ocean Analysis

:55
11:00
:5
:10 ! Live

Optimizing Gumbel-Softmax-Based Adaptive Sensor Placement for the Reconstruction of ocean states

:15
:20
:25
:30 ! Live

End-to-end neural forecasting of upper ocean dynamics from sparse observations using 4dVarNets

:35
:40
:45
:50 ! Live

Lunch

:55
12:00
:5
:10
:15
:20
:25
:30
:35
:40
:45
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:55
13:00 ! Live

Evolution of global rain intensities over the TRMM and GPM era using a deep-learning algorithm to asses the impact of climate change on Earth water cycle

:5
:10
:15
:20 ! Live

Precipitation nowcasting of satellite data using physically conditioned neural networks

:25
:30
:35
:40 ! Live

Connecting Drought Metrics: Predicting USDM Using PDSI for Climate Risk Assessment

:45
:50
:55
14:00 ! Live

Creating Global Gridded Climate Datasets Using Transfer Learning

:5
:10
:15
:20 ! Live

Discussion

:25
:30 ! Live

Break

:35
:40
:45
:50
:55
15:00 ! Live

Air Quality Prediction from Images: Enhancing Model Explainability through Visual Explanation with AQI- Net and Grad-CAM

:5
:10
:15
:20 ! Live

Refining Infrared-Only Rainfall Estimation with Deep Learning

:25
:30
:35
:40 ! Live

Feature extraction for methane plume segmentation using hyperspectral images

:45
:50
:55
16:00 ! Live

Discrete Variational Autoencoders for Synthetic Nighttime Visible Satellite Imagery

:5
:10
:15
:20 ! Live

Discussion

:25
# Auditorium
9:00 ! Live

Prithvi models family: foundation models for Earth sciences

Daniela Szwarcman, Daniel Civitarese

:5
:10
:15
:20
:25
:30
:35
:40
:45
:50
:55
10:00
:5
:10
:15 ! Live

Break

:20
:25
:30
:35
:40
:45 ! Live

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching

:50
:55
11:00
:5 ! Live

Transferring climate change physical knowledge

:10
:15
:20
:25 ! Live

CNN-based forecasting of early winter NAO using sea surface temperature

:30
:35
:40
:45 ! Live

Multivariate generative downscaling from GCM to RCM data using the energy score

:50
:55
12:00
:5 ! Live

Discussion

:10
:15 ! Live

Lunch

:20
:25
:30
:35
:40
:45
:50
:55
13:00
:5
:10
:15 ! Live

Enhancing Meteorological Predictions: AI Approaches for Synoptic Weather Maps

:20
:25
:30
:35 ! Live

Implementation of Lightweight Neural Networks in Autonomous Systems: Applications to Embedded Meteorological Radars

:40
:45
:50
:55 ! Live

A self-supervised model for multi-source forecasting with application to tropical cyclones

14:00
:5
:10
:15 ! Live

From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data

:20
:25
:30
:35 ! Live

Discussion

:40
:45 ! Live

Break

:50
:55
15:00
:5
:10
:15 ! Live

Wave Spectra Correction (WASCO) application for multiple locations

:20
:25
:30
:35 ! Live

A Benchmark for Evaluating Outputs of Earth System Models based on Perceptual Similarity Metrics

:40
:45
:50
:55 ! Live

Detection Strategies for Aviation Contrail Characterization and Climate Impact Assessment

16:00
:5
:10
:15 ! Live

Harnessing Machine Learning to Predict Fire Regimes and Their Impact on Carbon Dynamics in Tanzania’s Miombo Woodlands

:20
:25
:30
:35 ! Live

Discussion

:40
# Auditorium
9:00 ! Live

Anthropogenic changes to Amazon's flying rivers

Henrique Barbosa

:5
:10
:15
:20
:25
:30
:35
:40
:45
:50
:55
10:00 ! Live

Break

:5
:10
:15
:20
:25
:30 ! Live

Deep Learning and Copula Modeling for Predicting Climate-related Home Insurance Risks

:35
:40
:45
:50 ! Live

Developing an Integrated Framework for Assessing Climate-Driven (Im)Mobility in the Central Sahel and neighbouring regions

:55
11:00
:5
:10 ! Live

Leveraging Artificial Intelligence for ESG Risk Assessment and Climate Adaptation

:15
:20
:25
:30 ! Live

A Multimodal AI Model for Understanding the Climate-Driven Insurance Crisis across the U.S.

:35
:40
:45
:50 ! Live

Lunch

:55
12:00
:5
:10
:15
:20
:25
:30
:35
:40
:45
:50
:55
13:00 ! Live

Creation of a natural hazard geodatabase from digital mass media using a large language model

:5
:10
:15
:20 ! Live

Implementation of a Machine-Learning Model for Climate Resilience Assessment of School Infrastructure in Sub-Saharan Africa

:25
:30
:35
:40 ! Live

Interpretable Heatwave Prediction Using Quantile-Based Gradient Boosting Models

:45
:50
:55
14:00 ! Live

A Machine Learning-driven Internet of Agro Things (IoAT) – Smart Crops Monitoring and Farm Management System for Smallholder Farmers in Tanzania

:5
:10
:15
:20 ! Live

Break

:25
:30
:35
:40 ! Live

Regional Collaboration

Luis Martí, Patrick Valduriez, TBC

:45
:50
:55
15:00
:5
:10
:15
:20
:25
:30
:35
:40 ! Live

Data analysis and mobile dashboard development for a flood event in Rio de Janeiro

:45
:50 ! Live

Determining the surface temperature of the state of Maranhão-Brazil

:55
16:00 ! Live

Multi-Hazard Disruptions and Resilience study of 35 urban metros across the world

:5
:10 ! Live

The Energy Footprint of Artificial Intelligence: Tokenization, Consumption, and Challenges

:15
:20
:25 ! Live

The price of fairness: AI bias mitigation and the rising energy burden

:30
:35
:40 ! Live

Closing Remarks

:45
:50
:55
Caption
Break
Plenary Talk
Panel Discussion
Discussion
Ocean
Hydrology
Remote Sensing
Weather and Climate 1
Weather and Climate 2
Weather and Climate 3
Societal impacts 1
Societal impacts 2
Regional Studies & Social impacts