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Hybrid Event

2nd - 3rd July 2026 | Kuala Lumpur, Malaysia

International Conference on Numerical Weather Prediction and Model Evaluation (ICNWPAME - 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 13 — Climate Action
SDG 16 — Peace, Justice and Strong Institutions
Explore All Session Tracks
Track 01
Advancements in Numerical Weather Prediction Techniques

This session will explore the latest methodologies in numerical weather prediction, focusing on innovative algorithms and computational techniques. Participants will discuss the implications of these advancements on forecast accuracy and operational efficiency.

Track 02
Model Evaluation and Verification Strategies

This track will delve into various strategies for evaluating and verifying numerical weather prediction models. Emphasis will be placed on the development of robust metrics and frameworks for assessing forecast performance.

Track 03
Data Assimilation Techniques in Meteorology

This session will highlight cutting-edge data assimilation techniques that enhance the accuracy of meteorological models. Discussions will cover the integration of observational data and the impact on predictive skill.

Track 04
Ensemble Modeling Approaches for Climate Prediction

This track will focus on ensemble modeling techniques used in climate prediction, examining their effectiveness in capturing uncertainty. Participants will share insights on how ensemble forecasts can improve decision-making in climate-related applications.

Track 05
High-Resolution Simulations in Regional Weather Forecasting

This session will address the challenges and benefits of high-resolution simulations in regional weather forecasting. Presentations will cover case studies demonstrating the impact of fine-scale modeling on local weather events.

Track 06
Model Bias Correction Techniques

This track will explore various techniques for correcting model biases in numerical weather predictions. Participants will discuss the implications of bias correction on forecast reliability and user trust.

Track 07
Innovations in Climate Modeling Frameworks

This session will showcase innovative frameworks in climate modeling that enhance our understanding of climate systems. Discussions will focus on the integration of new variables and processes to improve model fidelity.

Track 08
Forecast Performance Metrics and Their Applications

This track will provide a platform for discussing various metrics used to evaluate forecast performance in meteorology. Participants will share best practices for applying these metrics in operational settings.

Track 09
Atmospheric Modeling and Its Societal Impacts

This session will examine the role of atmospheric modeling in addressing societal challenges related to weather and climate. Discussions will focus on the implications of accurate forecasting for disaster preparedness and resource management.

Track 10
Climate Projections and Policy Implications

This track will explore the intersection of climate projections and policy-making. Participants will discuss how accurate climate models can inform effective policy decisions and climate adaptation strategies.

Track 11
Future Directions in Weather Forecasting Research

This session will focus on emerging trends and future directions in weather forecasting research. Participants will share visionary ideas and potential breakthroughs that could shape the future of meteorological science.

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.