THIS PROJECT WILL DEVELOP A COMPREHENSIVE HIGH-RESOLUTION MULTIDECADAL LAND REANALYSIS OVER HIGH MOUNTAIN ASIA TO CHARACTERIZE THE CHANGES IN TERRESTRIAL WATER ENERGY AND CARBON COMPONENTS. THE REANALYSIS WILL BE CONDUCTED USING THE NASA LAND INFORMATION SYSTEM (LIS) WHICH IS AN ADVANCED LAND SURFACE MODELING AND DATA ASSIMILATION ENVIRONMENT. AS PART OF THE ONGOING HIMAT EFFORTS PI AND THE CO-IS HAVE DEVELOPED AND EVALUATED THE IMPACT OF ASSIMILATING VARIOUS HYDROLOGICAL REMOTE SENSING INPUTS INCLUDING SNOW DEPTH SNOW COVER FREEZE/THAW LEAF AREA INDEX ALBEDO TERRESTRIAL WATER STORAGE AND GROUND WATER. IN THIS PROJECT WE WILL EXTEND THESE UNIVARIATE ASSIMILATION CAPABILITIES INTO A MULTIVARIATE COMPREHENSIVE REANALYSIS FOR THE PAST THREE DECADES. THE REANALYSIS WILL ALSO FOCUS ON THE INCORPORATION OF MANAGEMENT IMPACTS ON THE WATER CYCLE OVER THIS REGION SUCH AS AGRICULTURAL IRRIGATION GROUND WATER ABSTRACTION AND RIVER RUNOFF MANAGEMENT. REMOTE SENSING AND IN SITU-BASED FORMULATIONS OF SUCH PROCESSES WILL BE INCORPORATED INTO THE REANALYSIS. TO SUPPORT THIS OVERALL PROJECT EFFORT JOHNS HOPKINS UNIVERSITY WILL LEAD EFFORTS TO REPRESENT WATER MANAGEMENT IN THE REANALYSIS AND WILL WORK WITH OTHER CO-PI TO INTEGRATE REPRESENTATION OF WATER MANAGEMENT WITH PROPOSED DATA ASSIMILATION ACTIVITIES. WORK WILL INCLUDE: 1. IDENTIFICATION OF DATASETS REQUIRED TO SIMULATE IRRIGATION AND OTHER WATER MANAGEMENT ACTIVITIES IN HIGH MOUNTAIN ASIA. 2. REVIEW AND UPDATE LIS ROUTINES RELATED TO WATER MANAGEMENT TO BE APPROPRIATE TO THE HIGH MOUNTAIN ASIA CONTEXT. 3. PERFORM SIMULATIONS WITH AND WITHOUT DATA ASSIMILATION IN ORDER TO OPTIMIZE REPRESENTATION OF WATER MANAGEMENT IN THE EXTENDED HYDROLOGICAL REANALYSIS. 4. LEAD COMMUNICATION WITH THE BROADER NASA HMA SCIENCE TEAM ON TOPICS RELATED TO REPRESENTATION OF WATER RESOURCE MANAGEMENT IN SATELLITE IMAGERY HYDROLOGICAL REANALYSIS AND FORECASTS AND PROJECTION.