- https://www.wcrp-esmo.org/events/ams-27th-conference-on-satellite-meteorology-and-oceanography
- AMS 27th Conference on Satellite Meteorology and Oceanography
- 2025-08-18T00:00:00+02:00
- 2025-08-22T23:59:59+02:00
- The 27th Conference on Satellite Meteorology, Oceanography, and Climatology will take place in San Diego, CA
Aug 18, 2025
to
Aug 22, 2025
(Europe/Berlin / UTC200)
San Diego, CA, USA
Join in summer 2025 the 27th Conference on Satellite Meteorology and Oceanography, where the latest developments in satellite meteorology, oceanography, and climatology will take center stage. This event brings together leading scientists, researchers, and professionals to exchange knowledge, foster collaboration, and celebrate excellence in these critical fields.
The conference is organized by the AMS Committee on Satellite Meteorology, Oceanography, and Climatology, whose mission is to:
- Promote Engagement: Encourage active participation in satellite-related activities at national and international levels.
- Raise Awareness: Highlight pressing issues and advancements in satellite science through accessible platforms.
- Recognize Excellence: Honor individuals making extraordinary contributions to satellite meteorology, oceanography, and climatology.
- Advocate for Science: Support science-based decision-making in satellite system development and usage.
This year’s conference will feature:
- Presentations on emerging satellite technologies and their applications.
- Panel discussions on key challenges and opportunities in the field.
- Networking opportunities with experts from academia, government, and industry.
- Recognition of award recipients for their outstanding contributions to the field.
The ESMO team will lead a dedicated session titled:
Advancing Earth System Modeling with Long-Term Earth Observation
This session is looking for research relevant but not limited to the following topics:
- Leveraging existing and/or developing new long-term EO datasets to advance process-oriented diagnosis for ESMs;
- Improving the usability and accessibility of long-term EOs using emerging technologies (e.g., AI, cloud computing) for the ESM community;
- Integrating long-term EOs with ESMs to improve Earth system predictability;
- AI applications that leverage long-term EOs to improve Earth system predictability;
- Novel methods to integrate EO datasets and other observations relevant for ESMs (e.g., in situ observations, airborne data, and uncrewed systems)