Title :
Scatterometer Backscatter Uncertainty Due to Wind Variability
Author :
Portabella, Marcos ; Stoffelen, Ad
Author_Institution :
R. Netherlands Meteorol. Inst., De Bilt
Abstract :
Wind retrieval from scatterometer backscatter measurements is not trivial. A good assessment of the different measurement uncertainties inherent in scatterometer systems is very important for successful wind retrieval and quality control. One source of these uncertainties, i.e., geophysical noise, is dominated by the subcell wind variability. Although the latter is known to dominate the total measurement noise at low winds, no attempt to fully model such effect has yet been performed. In this paper, a simple method to derive a model of geophysical noise for the European Remote Sensing Satellite (ERS) scatterometer is proposed. It is assumed that this noise is mainly due to the spatial distribution of the backscatter footprints and the wind variability within the wind vector cell. In a simulation experiment these parameters were varied, and the values for which the simulation compares best to real data in the three-dimensional measurement space were selected. The resulting geophysical noise model is dependent on wind speed and across subsatellite track location. The empirical method presented here is straightforward and could be applied to other scatterometer systems
Keywords :
artificial satellites; atmospheric measuring apparatus; backscatter; measurement errors; meteorological radar; remote sensing; wind; ERS scatterometer; European Remote Sensing Satellite; backscatter footprints; backscatter uncertainty; geophysical noise model; subsatellite track location; total measurement noise; wind retrieval; wind speed; wind variability; wind vector cell; Backscatter; Geophysical measurements; Measurement uncertainty; Noise measurement; Performance evaluation; Quality control; Radar measurements; Remote sensing; Satellites; Spaceborne radar; Footprint; geophysical error model; measurement errors; satellite applications; scatterometer; wind variability;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2006.877952