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International Conference on Mathematical Modeling in Climate and Atmospheric Sciences - (ICMMCAS-27)

13th - 14th May 2027 , Seoul - South Korea

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Call For Papers

The (ICMMCAS-27) 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 Mathematical Modeling 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:

  • Mathematical modeling of climate systems
  • Statistical methods in climate modeling
  • Predictive models for weather forecasting
  • Climate change impact assessment models
  • Mathematical modeling of atmospheric phenomena
  • Data assimilation in climate models
  • Modeling extreme weather events
  • Applications of machine learning in climate science
  • Climate modeling for policy development
  • Mathematical models of ocean dynamics
  • Interdisciplinary approaches to climate research
  • Mathematical modeling of greenhouse gas emissions
  • Modeling climate variability and change
  • Applications of remote sensing in climate modeling
  • Mathematical modeling of hydrological cycles
  • Climate modeling and sustainable development
  • Mathematical models for renewable energy systems
  • Uncertainty quantification in climate models
  • Mathematical modeling of ecosystem responses
  • Socioeconomic impacts of climate change modeling

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.