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Hybrid Event

4th - 5th November 2026 | Quito, Ecuador

International Conference on Mathematical Modeling in Climate and Atmospheric Sciences (ICMMCAS - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

Why it matters

SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 15 — Life on Land
Explore All Session Tracks
Track 01
Advanced Numerical Methods in Climate Modeling

This track focuses on the development and application of advanced numerical techniques for simulating climate systems. Participants will explore innovative algorithms that enhance the accuracy and efficiency of climate models.

Track 02
Data Assimilation Techniques in Atmospheric Sciences

This session will delve into the methodologies of data assimilation and their critical role in improving weather prediction models. Attendees will discuss the integration of observational data into numerical models to enhance forecasting accuracy.

Track 03
Predictive Modeling for Climate Change Scenarios

This track examines the use of predictive modeling to assess potential climate change impacts. Researchers will present their findings on various scenarios and the implications for environmental policy and planning.

Track 04
Fluid Dynamics in Climate Systems

This session will investigate the role of fluid dynamics in atmospheric processes and climate dynamics. Contributions will highlight the interplay between fluid motion and climate phenomena.

Track 05
Mathematical Approaches to Environmental Modeling

This track will explore mathematical frameworks used to model environmental systems and their interactions. Participants will share insights into the challenges and solutions in representing complex environmental processes.

Track 06
Statistical Methods in Climate Data Analysis

This session focuses on the application of statistical techniques to analyze climate data. Researchers will discuss innovative approaches to extract meaningful insights from large datasets.

Track 07
Simulation Techniques for Weather Prediction

This track will cover the latest simulation techniques used in weather prediction models. Participants will explore advancements in computational methods that enhance predictive capabilities.

Track 08
Climate Dynamics and System Interactions

This session will address the dynamics of climate systems and their interrelated components. Researchers will present studies on feedback mechanisms and their implications for climate stability.

Track 09
Applied Mathematics in Meteorological Research

This track focuses on the application of mathematical theories and techniques in meteorological research. Contributions will highlight case studies that demonstrate the impact of applied mathematics on understanding atmospheric phenomena.

Track 10
Innovations in Computational Meteorology

This session will showcase cutting-edge computational techniques that advance meteorological research. Participants will discuss the integration of high-performance computing in climate simulations.

Track 11
Environmental Systems Modeling and Simulation

This track will explore the modeling and simulation of environmental systems, emphasizing interdisciplinary approaches. Researchers will share their experiences in developing models that address complex environmental challenges.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.