A LONGSTANDING AND SIGNIFICANT DIGITAL DIVIDE IN DATA REPRESENTATION EXISTS BETWEEN HYDROLOGY AND CLIMATOLOGY AND METEOROLOGY. TYPICALLY, IN HYDROLOGY, EARTH SURFACE FEATURES ARE EXPRESSED AS DISCRETE SPATIAL OBJECTS SUCH AS WATERSHEDS, RIVER REACHES, AND POINT OBSERVATION SITES; AND TIME VARYING DATA ARE CONTAINED IN TIME SERIES ASSOCIATED WITH THESE SPATIAL OBJECTS. LONG-TIME HISTORIES OF DATA MAY BE ASSOCIATED WITH A SINGLE POINT OR FEATURE IN SPACE. IN METEOROLOGY AND CLIMATOLOGY, REMOTELY SENSED OBSERVATIONS AND WEATHER AND CLIMATE MODEL INFORMATION ARE EXPRESSED AS CONTINUOUS SPATIAL FIELDS, WITH DATA SEQUENCED IN TIME FROM ONE DATA FILE TO THE NEXT. HYDROLOGY TENDS TO BE NARROW IN SPACE AND DEEP IN TIME, WHILE METEOROLOGY AND CLIMATOLOGY ARE BROAD IN SPACE AND NARROW IN TIME.