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<br />e Oll~llilG <br /> <br />While the GIS tools provide the mechanisms for delineating basin subareas and <br />estimating parameters for these subareas, much work remains to be done on the development, <br />testing, and identification of the specific parameterization algorithms that are most appropriate <br />for each of the water, energy, and biogeochemical processes that may be simulated using MMS. <br />As these algorithms are defined for selected modules, they will be linked to the module. When a <br />model is built or selected for execution, the parameterization procedures linked with each <br />module will be made available to the user for automated execution if the spatial data bases <br />needed are available. <br /> <br />Within the model component, the GIS interface enables the visualization of the spatial <br />and temporal variation of simulated state variables during a model run. The basin subarea <br />characterization developed in the pre-process component is displayed to the user in an X- <br />window. At run time, any of the state variables being simulated for each subarea can be selected <br />for an animated display during the run. The capability to store selected images from this <br />animation for user-defrned time periods is currently being developed. <br /> <br />The GIS interface in the post-processing component will provide the capabilities to <br />display and analyze model results. Again, the basin subarea characterization developed in the <br />pre-process component will provide the base map for the display of the spatial and temporal <br />variation of selected state variables. One capability currently being developed is the ability to <br />display the images of simulated snow-covered area taken from the run time animation with <br />remotely sensed data on snow-covered area provided by the National Weather Service. The <br />ability to compare simulated and measured spatial and temporal variation in snow-covered area, <br />. or other stated variables, provides important additional independent measures of distributed- <br />parameter model performance. <br /> <br />..:t" <br /> <br />FUTURE ENHANCEMENTS <br /> <br />A number of additional system enhancements and capabilities are being designed to facilitate <br />model development, application, and analysis. The ability to couple a variety of resource- <br />management and risk-analysis models with user-selected water, energy, and biogeochemical <br />process models is being included for use in evaluating alternative resource-management policies <br />and in developing operational short- and long-term resource-management plans. Interfaces are <br />also being developed to import and export data and model results from and to other external data- <br />management and analysis systems. <br /> <br />SUMMARY <br /> <br />.'-.-"' <br /> <br />MMS is an integrated system of computer software that has been developed to provide the <br />research and operational framework needed to support the development, testing, and evaluation of <br />physical-process algorithms and to facilitate the integration of user-selected sets of algorithms <br />into an operational model. MMS provides a common framework in which to focus <br />multidisciplinary research and operational efforts. Researchers in a variety of disciplines can <br /> <br />7 <br />