(ICNWPM - 26) | Hybrid Event
3rd - 4th June 2026 | Almaty, Kazakhstan

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International Conference on Numerical Weather Prediction and Modeling
(ICNWPM - 26)

3rd - 4th June 2026 Almaty, Kazakhstan (Hybrid Event)

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Call for Paper

The ICNWPM is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Meteorology, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Advancements in numerical weather prediction
  • Modeling techniques for weather forecasting
  • Data assimilation methods in meteorology
  • High-resolution weather modeling applications
  • Predictive skill of numerical models
  • Ensemble forecasting and uncertainty quantification
  • Role of supercomputing in weather prediction
  • Verification techniques for weather models
  • Integration of observational data in models
  • Impact of model physics on predictions
  • Climate model intercomparison projects
  • Numerical modeling of extreme weather events
  • Future trends in weather modeling technology
  • Collaboration in meteorological research
  • User-friendly interfaces for weather models
  • Educational tools for numerical weather prediction
  • Public engagement with weather forecasting
  • Challenges in operational weather prediction
  • Case studies of successful weather forecasts
  • Ethics in weather prediction and communication
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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