Hybrid Conferencee

International Conference on Meteorological Data Assimilation and Modeling (ICMDAM - 26)

14th - 15th July 2026 | Sur, Oman
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Sur. 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:
"Abstract submissions for the Sur event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Sur conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sur, 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 Sur."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMDAM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Meteorology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Advancements in data assimilation techniques
02
Impact of data assimilation on forecasting accuracy
03
Integration of satellite data in modeling
04
Challenges in real-time data assimilation
05
Use of machine learning in data assimilation
06
Case studies of successful modeling applications
07
Public access to meteorological data
08
Collaboration between meteorological agencies
09
Future trends in meteorological modeling
10
Role of ground observations in data assimilation
11
Validation of model outputs against observations
12
Innovative approaches to data assimilation
13
Impact of climate change on data needs
14
Training for meteorologists in data assimilation
15
Data assimilation for extreme weather events
16
Ethical considerations in data usage
17
Community involvement in data collection
18
Use of big data in meteorological research
19
Impact of technology on data assimilation
20
Future challenges in meteorological data integration