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International Conference on Seasonal Forecasting and Decision-Support Systems - (ICSFDSS-26)

12th - 13th October 2026 , Auckland - New Zealand

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Call For Papers

The (ICSFDSS-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,Meteorology,Water 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:

  • Seasonal forecasting methodologies
  • Decision-support systems for climate adaptation
  • Role of seasonal forecasts in agriculture
  • Predictive models for seasonal climate variability
  • User engagement in seasonal forecasting
  • Impact of seasonal forecasts on disaster management
  • Integration of local knowledge in forecasts
  • Climate services for vulnerable communities
  • Seasonal forecasting and water resource management
  • Technological advancements in forecasting systems
  • Evaluation of seasonal forecast accuracy
  • Collaboration between scientists and policymakers
  • Seasonal climate prediction models
  • Communication strategies for seasonal forecasts
  • Socio-economic implications of seasonal forecasts
  • Seasonal forecasting for energy management
  • Innovations in climate decision-support tools
  • Case studies of successful seasonal forecasts
  • Training programs for seasonal forecasting
  • Future challenges in seasonal prediction

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.

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