Fourth AMS Symposium on the Joint Center for Satellite Data Assimilation (JCSDA)
Authors & Presenters
Please review our Presenter Guidelines.
Please note that abstract fees are only refundable if your abstract is rejected for presentation and Any abstracts withdrawn after acceptance must still be paid in full.
- Check/Change Abstract Title and Author Listing Deadline: 2 November 2015
- Oral Presentation Upload Deadline (before meeting): 4 January 2016
- Supplementary Information Upload Deadline 11 February 2015
Sponsors and Organizers
The Fourth AMS Symposium on the Joint Center for Satellite Data Assimilation (JCSDA) is organized by the and is sponsored by the American Meteorological Society.
Call for Papers
The theme for the 2016 AMS Annual Meeting is “Earth System Science in Service to Society,” weaves the many parts of AMS into a common core. Emphasizing the academic and research strength of AMS, the theme also connects that research to the benefits that society gains from our science. AMS merges the physical, chemical, and biological study of the Earth with human-centered “domains of action”: (1) Observing, (2) Analysis and research leading to understanding, (3) Modeling and prediction, and (4) Social sciences – how people deal with Earth. “Service to Society” explicitly evokes the integrated and complementary government and commercial enterprise that the AMS has done so much to foster over the last decade. The 2016 meeting integrates AMS’ proud, nearly 100-year history of making a positive difference in the lives of our citizens by continually communicating the advances of its science research to the public and policy makers.
Papers for this Symposium are solicited on:
- Impact assessments for satellite data assimilated in numerical prediction modeling systems
- Advancements in radiative transfer modeling and surface emissivity modeling to support assimilation of satellite radiance data
- Preparation for the assimilation of observations from next-generation operational and research satellites in numerical weather prediction modeling systems.
- Observation System Simulation Experiments to quantitatively assess the capability of potential new satellite sensors to improve numerical weather prediction.
- The assimilation of satellite data to improve land surface, ocean, and air quality analyses and models.