Hybrid Conferencee

International Conference on Climate Data Assimilation and Forecast Verification (ICCDAFV - 26)

7th - 8th October 2026 | Kaunas, Lithuania

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Kaunas. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Kaunas conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kaunas, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Kaunas."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 6
SDG 6 Clean Water and Sanitation
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 13
SDG 13 Climate Action
Track 01

Advancements in Climate Data Assimilation Techniques

This track focuses on the latest methodologies in climate data assimilation, emphasizing innovative approaches to integrate observational data into climate models. Participants will explore the implications of these advancements on model accuracy and predictive capabilities.

Track 02

Numerical Weather Prediction: Challenges and Solutions

This session addresses the current challenges faced in numerical weather prediction, including model resolution and computational limitations. Experts will present solutions and advancements that enhance forecast reliability and skill.

Track 03

Model Validation and Verification in Climatology

This track examines the methodologies for validating and verifying climate models against observed data. Discussions will include best practices and the importance of model performance assessment in climatological research.

Track 04

Reanalysis Data: Integration and Applications

Participants will delve into the role of reanalysis data in climate research, focusing on its integration into predictive models and its applications in understanding climate variability. The session will highlight case studies demonstrating the utility of reanalysis data.

Track 05

Ensemble Forecasting Techniques in Meteorology

This session will explore ensemble forecasting methods and their effectiveness in improving forecast skill. Presenters will discuss the statistical approaches and their applications in meteorological modeling.

Track 06

Hydrological Forecasting: Methods and Innovations

Focusing on hydrological forecasts, this track will cover the latest methods and innovations in predicting water-related phenomena. Participants will share insights on integrating climate data into hydrological models for enhanced accuracy.

Track 07

Assessing Forecast Skill: Metrics and Methodologies

This session will discuss various metrics and methodologies for assessing forecast skill in climate models. Attendees will gain insights into the importance of skill assessment for improving predictive accuracy.

Track 08

Atmospheric Data Assimilation: Techniques and Applications

This track will focus on atmospheric data assimilation techniques and their applications in enhancing weather and climate predictions. Experts will share recent advancements and case studies demonstrating the impact of these techniques.

Track 09

Climate Prediction Systems: Design and Implementation

Participants will explore the design and implementation of climate prediction systems, emphasizing the integration of various data sources. Discussions will include the challenges and successes in developing robust prediction frameworks.

Track 10

Quality Control in Climate Data: Ensuring Integrity

This session will address the critical importance of data quality control in climate research. Experts will present methodologies for ensuring data integrity and the implications of data quality on model outputs.

Track 11

Future Directions in Climate Modeling and Forecasting

This track will explore future directions in climate modeling and forecasting, focusing on emerging technologies and methodologies. Participants will discuss the potential impact of these advancements on climate science and policy.