Then a best guess set of coefficients is used, and the processing time is reasonable for the necessary on-demand compression. The client takes advantage of the multithreading feature offered by the Java programming language. By executing decompression and communication threads concurrently, the capabilities of the client hardware are optimally utilized. Each individual image frame is displayed for the user as the decompression completes, thus minimizing the perceived wait for the product arrival. Now that Internet communications have become faster, and available client hardware provides better processing capability, the concept of a network meteorological workstation is more viable.
Many factors go into the design of such a workstation.
Effective delivery of the products from the server to the client is an integral consideration in the FX-Net project. This includes not only accurate representation of the various products, but efficient processing associated with those representations. As development continues, future enhancements could include access to case study data and support of multiple local radar datasets. With the advent of wireless Internet connectivity and powerful laptop computers, FX-Net can be accessed even in remote areas. One example is that forecasters could be called upon to provide an on-site weather analysis in an area where a blazing fire is out of control.