From 1999 to 2008, Evan has worked within the Technology Outreach Branch of the Global Systems Division at the Earth Systems Research Laboratory (ESRL) – NOAA, as a senior software developer. During this time, he has been committed to the support and delivery of the highly customized web-browser for weather data, called FX-Net. This stand-alone Java application was written to emulate the Advanced Weather Interactive Processing System (AWIPS) user-interface called D/2D. Whereas D/2D must be co-located with the AWIPS hardware infrastructure, the FX-Net application functions as a remote thin client, accessing AWIPS ingested weather products from the FX-Net server via an Apache HTTP Server. The FX-Net client runs on Windows, Mac, and Linux platforms, and is currently being used by National Weather Service Regional Headquarters for use by their Incident Meteorologists (IMETS), remote WSO’s and CWSU’s (Central Weather Support Units). Additional end-users include university meteorology programs, air-quality scientists, NOAA and NCAR research programs requiring non-standard data inclusion, and even by the Air Force Forecasters at Andrews Air Force base in support of Air Force One.
Evan’s responsibilities have included the design, development, and testing of many required changes to the FX-Net Java client application, including most all major feature enhancements. The FX-Net 5.0 release was recently re-engineered for a multi-image display capability which will allow for more seamless import of dynamic geographic spatial data via third-party web services. The re-engineering process laid the foundation for an easier transition to the distributed data services (Service Oriented Architecture) being introduced by the next generation of the National Weather Service’s AWIPS II system.
In addition to the accomplishments of the FX-Net project, other work during this period included the development of the Java-based Compression Relay Management System (CRMS). Other research included investigation and prototype development (using Web 2.0 solutions) for the delivery of gridded forecast model data via web services in support of the fire-weather emergency management community.