Abstract

Use of Rapidly Updating and Global Meteorological Datasets in ArcGIS
Track: Atmosphere, Climate, and Weather
Authors: Paul Kamis

Unlike the static nature of many other common GIS data, meteorological data are highly dynamic (i.e. rapidly updating). By using PostgreSQL, direct connections through ArcMap and the ArcPy python library, managing multiple, large and dynamic datasets and hosting them in a unified GIS framework has been achieved. Challenges and solutions of dynamic meteorological data within ArcGIS for Server 10.2 will be addressed with illustrations of weather scenarios using ArcGIS Online and ArcGIS Desktop.