1. Principal Investigator: Eni G. Njoku (eni.g.njoku@jpl.nasa.gov)
Project Title: NSIT - Land Surface Moisture and Water Budget Studies Using Microwave Remote Sensing
Principal Investigator: Eni G. Njoku
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)
Major Result to go in lower left side: Figures should not be too complex or busy – this example is probably the limit of acceptable complexity.
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