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STAR JPSS Workshop on Artificial Intelligence (AI) and Machine Learning (ML) for Calibration, Validation and Algorithm Innovation


When:
15 September 2025
10:00 a.m. - 4:00 p.m.
Where:
NOAA Center for Weather and Climate Prediction (NCWCP)
Conference Rooms A, B, & C
5830 University Research Court
College Park, MD 20740-3823
Participation:
In-person and virtual attendance available
Who:
STAR, STAR affiliates, and, by invitation, members of space agencies and affiliated academic and industry researchers/partners
Meeting Links:

The STAR/JPSS Workshop on Calibration, Validation and Algorithm Innovation with Artificial Intelligence and Machine Learning, co-hosted by STAR, JPSS, and NOAA Center for AI (NCAI) is a part of the annual NOAA AI Workshop Series, dedicated to advancing the use of AI/ML in satellite-based Earth observations -- particularly in the area of sensor calibration/validation (cal/val) and environmental data product development. The event aims to bring together experts, researchers, and practitioners to foster collaboration around applied AI/ML research, with a focus on transitioning innovative solutions into operational applications supporting NOAA’s mission—especially in Numerical Weather Prediction and Environmental Monitoring.


Workshop Overview:

Morning Session:

Focuses on applications of AI/ML for satellite sensor calibration and validation, with emphasis on improving data quality for numerical weather forecasting and environmental prediction models.

Afternoon Session:

Highlights selected environmental data record (EDR) products developed using AI/ML techniques applied to satellite observations.


Information for Attendees:

Meeting organizers will mail registrants all necessary details for attending the meeting when registration forms are received.

Building Access:
In-person attendees should make sure to bring proper identification to enter the building: CAC, passport, or government-issued driver's license.

Parking:
Free parking is available in the lot across the street from the entrance gates for NCWCP.

Lodging:
Closest hotel is: Residence Inn by Marriott. Government rate available.

NCWCP, College Park, MD
 

Workshop Objectives:

  • Accelerate, optimize and enhance post-launch satellite calibration and validation (cal/val) by leveraging state-of-the-art AI/ML approaches, enabling more timely and accurate observations crucial for advanced weather forecasting and environmental monitoring.
  • Identify and outline specific AI/ML applications that can be incorporated into STAR’s routine/operational cal/val processes.
  • Advance and Improve the accuracy and efficiency of satellite sensor cal/val by integrating AI/ML with diverse data sources, including:
    • Numerical Weather Prediction models
    • Inter-satellite and inter-sensor calibration
    • Data fusion techniques
    • Radiative transfer models
    • In situ and other observational datasets
  • Foster collaboration and knowledge exchange by providing the platform for sharing the latest progress, addressing current technical challenges, and charting the future directions for AI/ML in satellite calibration and validation.
  • Promote Research-to-Operations (R2O) readiness by proposing AI/ML models suitable for operational use and outlining standard procedures for robust model development, training, validation and implementation in environmental data systems/ products.

We look forward to these important discussions on integrating AI/ML into satellite observation systems to optimize and enhance NOAA's environmental monitoring and prediction capabilities with improved environmental intelligence.


Contact:

Sudhir Shrestha (sudhir.shrestha@noaa.gov@noaa.gov) or Ingrid Guch (Ingrid.Guch@noaa.gov) if you have any questions or comments.