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Environmental applications play an important role in the modern society due to the accuracy and the quality of the services they provide (weather forecast, meteorological or temperature prediction). The complexity of these applications makes them very hard to implement in a general, but still easy to use framework. Because of the large volume of processing data, most of the environmental models must be implemented as Grid applications, used for speeding up the execution process. This paper highlights some considerations in developing a framework capable of supporting different type of application, different input datasets (e.g. MODIS, Landsat, Thunderbird satellite images), but in the same time flexible enough to be understood by any kind of user. This could be achieved by using graphs for the workflow description of the application.