The Live Access Server (LAS) is a popular system with which to provide Web access to enironmental data. With the intuative user interface LAS users can i) specify the location, time and variable of interest , ii) request visualizations along principle axes and planes, and iii) download subsets in a choice of formats. With a few more mouse clicks he can "fuse" (compare by differencing) variables that may be defined on different coordinate grids, stored in unlike file formats, and located at distributed sites.
Recent development work on LAS has focussed on an approach to data management to include in-situ data collections which can be made to conform to the CF standard for discrete sampling geomertries. In this presentation we will demonstrate LAS systems for in-situ collections and discuss the challenges of data fusion for mixed gridded and in-situ data sets. The authors believe that this style of access to in-situ collections will be instrumental in promoting greater use of in-situ measurements in model validation.