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Sixth Symposium on Advances in Modeling and Analysis Using Python

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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Please note that abstract fees are only refundable if your abstract is rejected for presentation and Any abstracts withdrawn after acceptance must still be paid in full.

Important Dates

  • 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 Sixth Symposium on Advances in Modeling and Analysis Using Python is organized by the AMS Board on Environmental Information Processing Technologies and is sponsored by the American Meteorological Society.

Call for Papers

The theme for the 2016 AMS Annual Meeting, “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.

The application of high-performance computing, object-oriented programming, distributed computing, big data, and other advances in computer science to the atmospheric and oceanic sciences has, in turn, led to advances in modeling and analysis tools and methods. This symposium focuses on applications of the Python open-source language and seeks to disseminate advances using Python in the atmospheric and oceanic sciences, as well as grow the earth sciences Python community. Papers describing Python work in applications, methodologies, and package development in all areas of meteorology, climatology, oceanography, and space sciences are welcome, including (but not limited to): modeling, time series analysis, air quality, remote sensing applications, in-situ data analysis, GIS, Python as a software integration platform, visualization, gridding, model intercomparison, very large (terabyte) dataset manipulation and access, and learning and teaching Python. Following the overall annual meeting theme, the Symposium is also soliciting papers on advances in using Python related to delivering information regarding all aspects of the Earth system—weather, climate, hydrologic, etc.—in service to society.

Program Chair(s)

For additional information please contact the program chairperson, Johnny Lin, Computing and Software Systems Division, University of Washington Bothell and Physics and Engineering Department, North Park University.