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United States Department of Agriculture

Agricultural Research Service

Research Project: ENHANCING SATELLITE-BASED PRECIPITATION PRODUCTS USING REMOTELY-SENSED SOIL MOISTURE RETRIEVALS AND DATA ASSIMILATION TECHNIQUE Project Number: 1245-13610-028-15
Project Type: Reimbursable

Start Date: Aug 01, 2010
End Date: Sep 10, 2013

Objective:
This project seeks to develop, test and implement a robust data assimilation system capable of correcting remotely-sensed precipitation inputs via the assimilation of remotely-sensed soil moisture retrievals into a land surface water balance model.

Approach:
This project objective will be addressed in three phases: 1) Starting with a simple existing baseline system - based on a simple linear surface model modern and Kalman filtering – define and construct alternative systems based on more complex data assimilation and/or land surface modeling techniques. Potential data assimilation alternatives include the use of an Ensemble Kalman filter or Particle filtering techniques. Alternative land surface model techniques include the range of complex land surface models currently implemented within the NASA Land Information System. 2) Test the modified system using existing remote sensing datasets and evaluate the degree to which various systems are able to correct satellite-base precipitation to match aggregated rain gauge observations of short-term precipitation accumulations. 3) Prototype the identified system for the eventual availability of NASA Soil Moisture Active/Passive mission soil moisture measurements by running the system using L-band based soil moisture retrievals obtained from the European Space Agency (ESA) Soil Moisture/Ocean Salinity mission.

Last Modified: 10/20/2014
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