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NSIT Land Surface Moisture and Water Budget Studies Using Microwave Remote Sensing

This project aims to characterize land surface moisture variability and its role in surface fluxes using microwave remote sensing. The approach involves evaluating space-based soil moisture products and comparing them with models and in-situ data. The study leverages data from satellites like AMSR-E, TMI, and SMOS, along with models such as GLDAS and ECMWF. Over five years, the project focuses on calibration, retrieval algorithms, and the integration of moisture products for assessing land surface water and its implications on surface flux studies.

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NSIT Land Surface Moisture and Water Budget Studies Using Microwave Remote Sensing

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  1. Project Title: NSIT - Land Surface Moisture and Water Budget Studies Using Microwave Remote Sensing Principal Investigator: Eni G. Njoku (eni.g.njoku@jpl.nasa.gov) Science issue:Characterize land surface moisture space/time variability and role in surface fluxes Approach: Evaluate space-based soil moisture products; compare with models and in-situ data; integrate current and near-future satellite observations Satellite data:AMSR-E, TMI, ERS, SMOS, Aquarius Other data:IGBP, SRTM, SCAN, CPC, NARR Models:GLDAS, NCEP, ECMWF Study particulars: Calibration, retrieval algorithms, surface heterogeneity, vegetation sensitivity, scaling Project Status: Year 1 & 2 (complete): – Acquire and process multi-sensor passive datasets; multiyear intercomparisons and evaluations over U.S. Year 3: – Global intercomparisons, active (scatterometer) and passive datasets; variability, trends and statistics; heterogeneity and spatial scaling studies Year 4 & 5: – Integrate surface moisture/water products and analyses; test applicability to surface flux studies; NEWS IP task - assessments for land surface water NEWS Linkages:(pull, push, collaborate, external) Olson – (POC) Latent heating, microwave sensing Famiglietti – (POC) GLDAS & GRACE intercomparisons NEWS Integration Project #1 – Co-lead NDIC – Data sets Collaborate w. Famiglietti re. GRACE and AMSR-E products Collaborate w. Rossow re. LandFlux/microwave data; Proj#1 Organize international microwave workshop, October 2008 GPM microwave intercalibration project (Kummerow/Wilheit) Merged soil moisture product from inter-calibrated AMSR-E and TMI sensor data providing improved temporal sampling and coverage E. Njoku, Updated: October 30, 2007

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