On-location / Digital Conference

International Conference on Climate Data Assimilation and Forecast Verification (ICCDAFV-27)

30th - 31st Mar 2027,Ottawa, Canada

In Association With:

Call for Paper


Important Dates


Early Bird Registration

28th Feb 2027

Paper Submission Deadline

5th March 2027

Registration Deadline

15th March 2027

Conference Date

30th - 31st Mar 2027

Conference Updates:

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Ottawa ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Ottawa conference.
  • Peer Review Process:
    The peer review process will begin soon for Ottawa conference.
  • Networking with Global Experts:
    Join global experts at our conference in Ottawa.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICCDAFV bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Climate Data Assimilation and Forecast Verification, encouraging applied research, case studies, and industry-driven innovations.

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

  • Climate data assimilation techniques
  • Forecast verification methodologies and practices
  • Impact of data assimilation on climate models
  • Innovations in climate data processing
  • Role of observational data in forecasting
  • Challenges in climate data integration
  • Real-time data assimilation for forecasting
  • Evaluation of forecast accuracy and reliability
  • Data assimilation in extreme weather events
  • Interdisciplinary approaches to data assimilation
  • Public access to climate data resources
  • Case studies of successful data assimilation
  • Future directions in climate data research
  • Collaboration between data scientists and meteorologists
  • Machine learning applications in data assimilation
  • Data assimilation for climate impact assessments
  • Ethical considerations in climate data usage
  • Training programs for data assimilation techniques
  • Community engagement in climate data initiatives
  • Innovations in climate data visualization

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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