An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product,
12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2012 , vol., no., pp.1,4, 5-9 March 2012
doi: 10.1109/MicroRad.2012.6185237
An Observing System Simulation Experiment for the Aquarius/SAC-D mission is being developed for assessing the accuracy of soil moisture retrieval from passive and active L-band remote sensing. The implementation of the OSSE is based on: a 1-km land surface model over the Red-Arkansas River Basin, a backscatter model and a forward microwave emission model to simulate the radiometer and scatterometer observations, a realistic orbital and sensor model to resample the measurements, and an inverse soil moisture retrieval model. The simulation implements zero-order radiative transfer model for emission and Dubois model for backscattering. Retrieval is done by direct inversion. The Aquarius OSSE attempts to capture the influence of different error sources: land surface heterogeneity, instrument noise and retrieval ancillary parameter uncertainty. In order to assess the impact of these error sources on the estimated volumetric soil moisture, a quantitative error analysis is performed through the comparison between of footprint-scale synthetic soil moisture product and high spatial resolution degraded at coarse resolution `true’ soil moisture product. The root mean squared errors are evaluated for all the conditions.
keywords: {error analysis; hydrological techniques; indeterminancy; inverse problems; radiative transfer; radiometry; remote sensing;rivers; soil; Aquarius/SAC-D; Dubois model; L-band remote sensing; Red-Arkansas River Basin; USA; backscatter model; forward microwave emission model; instrument noise; inverse soil moisture retrieval model; land surface heterogeneity; land surface model;observing system simulation experiment; quantitative error analysis; radiometer; retrieval ancillary parameter uncertainty; scatterometer;synthetic soil moisture product; zero-order radiative transfer model; Interpolation; Laboratories; Moisture; Moisture measurement; Radar measurements; Radiometry; Aquarius; Observing System Simulation Experiment; soil moisture},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6185237&isnumber=6185225
Print ISBN: 978-1-4673-1468-8