2015 AMS Annual Meeting

The theme for the 2015 AMS Annual Meeting is “Fulfilling the Vision of Weather, Water, and Climate Information for Every Need, Time, and Place”. People, businesses, and governments depend increasingly on weather, water, and climate information matched to their specific needs. We are converging on a day when such information is integrated into nearly every decision or action people take. This revolution in highly targeted, customized information - delivered when and where it is most useful - will make our lives safer, more productive, and more enjoyable.  The challenge for our community is this: collaborate and innovate to develop – and ultimately deliver – actionable, user-specific weather, water, and climate information across all spatial and temporal scales in support of our nation’s safety, health, and prosperity.  The meeting will explore the many topics required for our community to implement this vision.

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 weather, water, and climate information.