Nowadays by rapid developing of information technique and infra structure, KMA implemented the construction WebFAS to extend for the next three years started the year of 2006. The top mission of the WebFAS is easily to deal with real time numerical model output, remote-sensed data, as well as synoptic data and synthetically to analyze relating dataset for forecast. The first version of 2006 was aimed to make data processing, user interface and major functions. By doing that, some data was possible to be displayed through WebFAS.

The functions of the WebFAS are divided the data processing section in server and data display section in client(PC). The server is in charge of processing data and transferring it back to requested client PC. The extracted data are stored in cash disk of server and it will be served next requests from client PC. The client PC makes output in graphic through user interface. Most of these data are vector-type data, so that editing of data (zoom in/out, contour, image etc.) will be freed. Also, displayed one time data will be remained in PC, therefore, it helps to saving time to make output again.

The WebFAS Software is programmed by C/C++, Python, TCP/IP, and socket program based on network. And the main functions of the WebFAS are as follows,

1) Overlaying all kinds of meteorological data with automatically time synchronization (now, 4 kinds of numerical model data and remote sensed data etc.)

2) Zoom in/out, animation /Cross Section and Time Series

3) The flexible searching for history data / Contour, image editing / Procedure function

Though this version of WebFAS is not complete yet, we are continuously developing the WebFAS including the functions like Skew-T diagram, advanced analysis tools etc.

The fielding and commissioning of WebFAS has catapulted the KMA into a new era of data integration and graphic capability. WebFAS is an exclusive system for forecasters that can easily analyze all weather information by overlaying, combining, and animating it in a single display, so forecasters can focus on the weather event itself and reduce the overall preparation time. After finishing the project of developing WebFAS in 2008, we hope WebFAS will be the forecaster's primary weather analysis and nowcasting tool and will be contributed to improving forecasts in KMA.