The Seventh Symposium on Advances in Modeling and Analysis Using Python, sponsored by the American Meteorological Society, and organized by the AMS Board on Environmental Information Processing Technologies, will be held 22–26 January 2017, as part of the 97th AMS Annual Meeting in Seattle, Washington. Preliminary programs, registration, hotel, and general information will be posted on the AMS Web site in late-September 2016.
Abstract submissions for the Python Symposium should be submitted via the AMS web site by 3 August 2016.
The theme for the 2017 AMS Annual Meeting is “Observations Lead the Way”. For the full description of the theme, please visit the AMS 2017 Annual Meeting Web page.
Papers for this conference are solicited on
- Modeling
- Time series analysis
- Air quality
- Satellite data processing
- In-situ data analysis
- GIS
- Python as a software integration platform
- Visualization
- Gridding
- Model intercomparison and ensembles
- Data intensive computation and big data
- Teaching and learning Python
- Connecting Python with other languages
The $95 abstract fee includes the submission of your abstract, the posting of your extended abstract, and the uploading and recording of your presentation which will be archived on the AMS Web site.
Please submit your abstract electronically via the AMS web site by 3 August 2016. An abstract fee of $95 (payable by credit card or purchase order) is charged at the time of submission (refundable only if abstract is not accepted).
Authors of accepted presentations will be notified via e-mail by late-September 2016. All extended abstracts are to be submitted electronically and will be available on-line via the Web. Instructions for formatting extended abstracts will be posted on the AMS Web site. Authors have the option to submit manuscripts (up to 10 MB) electronically by 27 February 2017. All abstracts, extended abstracts and presentations will be available on the AMS Web site at no cost.
For additional information please contact the program chairperson(s), Johnny Lin (email: johnny AT johnny-lin DOT com)
