Seventh AMS Symposium on the Joint Center for Satellite Data Assimilation

Abstract Submissions

Abstracts were due on August 8, 2018.

Author and Presenter Instructions

The Seventh AMS Symposium on the Joint Center for Satellite Data Assimilation (JCSDA) is sponsored by the American Meteorological Society and organized by the Committee on Satellite Meteorology, Oceanography, and Climatology

Topics Covered

Papers for this conference are solicited on the following:

  • all sky radiance assimilation;
  • applications of machine learning and AI to data assimilation;
  • assimilation of active sensor data from satellites including lidar, GNSSRO, and radar;
  • assimilation of new generation satellite sensor observations, including JPSS, GOES-R series, Himiwari, and METOP;
  • contributions to the Joint Effort for Data Assimilation Integration (JEDI);
  • coupled Earth systems DA including air quality and aerosols, and trace gases;
  • fundamentally new developments with the CRTM;
  • improved data assimilation techniques (bias corrections, observation errors, etc.);
  • land, ocean, and cryosphere data assimilation;
  • and satellite data impact assessments: methodologies, and results for new sensors.

Student Award Opportunities

Student Event

The 7CSDA Conference will be co-hosting a Speed Networking Event. The Event allows students and early professionals to network with mentors via ‘speed networking’ where the mentors (meteorology and allied discipline professionals) roam between tables at set intervals introducing the students and early professionals to a wide array of professions in the field of meteorology. The speed networking will be followed by a social with light hors d'oeuvres, providing a great time for open networking. This allows the students and the mentors of their selected discipline to have extended conversations after their speed-mentoring 

Conference Contact(s)

For additional information, please contact the program chairs: Jim Yoe (email: [email protected]) and Tom Auligne (email: [email protected]).