WATER ENERGY AND NUTRIENTS ARE THE PRIMARY DETERMINANTS OF PRODUCTIVITY IN TERRESTRIAL ECOSYSTEMS. IN A CHANGING CLIMATE DYNAMIC MONITORING AND LOCAL ADAPTATION OF MANAGEMENT PRACTICES TO CHANGING RESOURCE LEVELS ARE CRUCIAL TO SOCIO-ECOSYSTEM SUSTAINABILITY. A BETTER CHARACTERIZATION OF TERRESTRIAL WATER ENERGY AND CARBON CYCLES THROUGH THE INTEGRATION OF OBSERVATIONS INTO MODELS AT SPATIAL AND TEMPORAL SCALES CONDUCIVE TO DECISION MAKING AND ADAPTATION RESPONSES ARE ESSENTIAL. RECENT ADVANCES IN REMOTE SENSING TERRESTRIAL CARBON AND PHENOLOGY MODELING AND DATA ASSIMILATION TECHNIQUES PROVIDE THE TOOLS WE NEED TO MAKE SIGNIFICANT PROGRESS TOWARDS ENHANCING OUR UNDERSTANDING OF TERRESTRIAL CYCLES AND PHENOLOGY DYNAMICS. WITH THIS PROJECT WE PROPOSE TO IMPLEMENT AN INNOVATIVE TERRESTRIAL PHENOLOGY DATA ASSIMILATION TECHNIQUE TO INTEGRATE CARBON-CYCLE OBSERVATIONS INTO AN ENSEMBLE MODELING FRAMEWORK THAT WILL PRODUCE TERRESTRIAL CARBON-WATER-ENERGY REANALYSES OVER THE NORTH AMERICAN LAND DATA ASSIMILATION SYSTEM (NLDAS) DOMAIN AT 1/8 DEGREES AND HOURLY SPATIAL AND TEMPORAL RESOLUTION.