** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.
Science Net
ICMDAM · Registering as Listener

International Conference on Meteorological Data Assimilation and Modeling

12–13 Aug 2026 Boston, USA Standard / Virtual Participation
Listener Registration From
$299
virtual · $299 in person
Registration Benefits:
Official invitation letter
Issued automatically after registration
Certificate & digital materials
Get certificate, slides and resource materials
Supporting global research
Connect with researchers across 30+ countries

1Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

2Your details

We only need what's required to register and email your confirmation. Everything else is optional.


3Coupon Code (If Any)

SPECIAL OFFER
10% OFF up to USD 30
USE COUPON CODE
FAST10
Available
Apply

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Conference Session Tracks

SDG-Aligned Research Themes

The ICMDAM conference tracks support global knowledge exchange, innovation and sustainable development priorities across Meteorology and related disciplines.

01 Advancements in Meteorological Data Assimilation Techniques +
This track focuses on the latest methodologies in meteorological data assimilation, emphasizing innovations that enhance the integration of observational data into numerical models. Participants will discuss the implications of these advancements for improving forecast accuracy and model reliability.
02 Numerical Simulations in Atmospheric Modeling +
This session explores the role of numerical simulations in atmospheric modeling, highlighting case studies that demonstrate their effectiveness in predicting weather patterns. Discussions will center on the integration of high-resolution models and their impact on forecasting.
03 Ensemble Methods for Enhanced Forecasting +
This track examines the application of ensemble methods in meteorological forecasting, focusing on their ability to quantify uncertainty and improve predictive performance. Participants will share insights on the latest techniques and their practical applications in real-world scenarios.
04 Observation Integration and Remote Sensing Technologies +
This session addresses the integration of diverse observational data sources, including remote sensing technologies, into meteorological models. The discussions will highlight the challenges and solutions associated with data fusion and its impact on model accuracy.
05 Initial Condition Optimization in Weather Forecasting +
This track delves into strategies for optimizing initial conditions in weather forecasting models, emphasizing the importance of accurate initial states for reliable predictions. Participants will explore various optimization techniques and their effectiveness in enhancing forecast skill.
06 Data Quality Assessment in Meteorological Research +
This session focuses on the critical evaluation of data quality in meteorological research, discussing methodologies for assessing and improving data integrity. Participants will share best practices for ensuring high-quality input for modeling and assimilation processes.
07 Variational Techniques in Meteorological Modeling +
This track highlights the application of variational techniques in meteorological modeling, showcasing their role in optimizing model parameters and improving data assimilation processes. Discussions will include theoretical advancements and practical implementations.
08 Model Validation and Performance Metrics +
This session emphasizes the importance of model validation in meteorological research, focusing on performance metrics that assess the reliability of forecasts. Participants will discuss methodologies for validating models against observational data and the implications for future research.
09 Predictive Analytics in Climate Modeling +
This track explores the intersection of predictive analytics and climate modeling, highlighting innovative approaches to forecasting climate variability and change. Participants will discuss the role of big data and machine learning in enhancing predictive capabilities.
10 Grid Resolution and Its Impact on Forecasting Accuracy +
This session investigates the effects of grid resolution on the accuracy of meteorological forecasts, emphasizing the trade-offs between computational efficiency and model precision. Participants will share findings on optimal grid configurations for various forecasting applications.
11 Parameter Estimation Techniques in Atmospheric Science +
This track focuses on parameter estimation techniques used in atmospheric science, discussing their significance for model calibration and accuracy. Participants will explore various approaches and their implications for improving meteorological simulations.

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10