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Title:   Author  item
                                            BINDLISH, R - Science Systems, Incitem
                                            Jackson, Thomasitem
                                            ZHAO, T - Collaboratoritem
                                            Cosh, Michaelitem
                                            CHAN, S - Jet Propulsion Laboratoryitem
                                            O'NEILL, P - National Aeronautics And Space Administration (NASA)item
                                            NJOKU, E - Jet Propulsion Laboratoryitem
                                            COLLIANDER, A - Jet Propulsion Laboratoryitem
                                            KERR, Y - Collaborator
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 3/23/2012
                                    Publication  Date: 7/22/2012
                                    Citation: Bindlish, R., Jackson, T.J., Zhao, T., Cosh, M.H., Chan, S., O'Neill, P.E., Njoku, E., Colliander, A., Kerr, Y. 2012. Evaluation of the SMAP radiometer lever 2 pre-launch soil moisture algorithms using SMOS data [abstract]. Meeting Abstract. 2012 CDROM.Interpretive Summary:
                                Technical Abstract: The objectives of the upcoming SMAP (Soil Moisture Active Passive) satellite mission include global measurements of soil moisture at 40 km, 10 km and 3 km resolutions with a 3-day revisit time at an accuracy of 0.04 m3/m3.  The 40 km resolution soil moisture product  is based primarily on the passive microwave observations. In this paper we contribute to the development of the radiometer soil moisture product by exploiting the availability of the currently operating Soil Moisture Ocean Salinity (SMOS) satellite observations and products.  SMOS observations provide us with the opportunity to develop a testbed for the evaluation of different SMAP radiometer-based soil moisture retrieval algorithm options. The use of real-world global observations will help in the development and selection of different land surface parameters and ancillary observations needed for the soil moisture algorithms.  Output of the potential radiometer-only SMAP algorithms will be compared to both in situ measurements and SMOS soil moisture products.  These studies will contribute to both the selection and refinement of the SMAP radiometer level 2 pre-launch algorithms for soil moisture. USDA is an equal opportunity employer.


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