Flex Conference (Physical / Digital)

International Conference on Climate Modeling and Uncertainty Analysis - (ICCMUA-26)

29th - 30th October 2026 , Bordeaux - France

Registration Options

Access Flexible Participation Categories

Call For Papers

The (ICCMUA-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Climatology are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Climate modeling techniques and advancements
  • Uncertainty analysis in climate projections
  • Impact of model resolution on predictions
  • Coupled climate models and simulations
  • Paleoclimate modeling for future insights
  • Role of data assimilation in modeling
  • Climate feedbacks in modeling scenarios
  • Regional climate modeling applications
  • Intercomparison of climate models
  • Public understanding of climate models
  • Innovative tools for climate modeling
  • Modeling extreme weather events
  • Climate change scenarios and implications
  • Assessment of model performance
  • Future directions in climate modeling research
  • Collaborative modeling efforts across disciplines
  • Education and outreach on climate modeling
  • Policy implications of climate model outputs
  • Engaging stakeholders in modeling processes
  • Addressing uncertainties in climate predictions

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.