The project examines a technique made to enhance the effectiveness of a polarimetric microwave radiometer. Polarimetric microwave radiometers are extremely sensitive to glitches in its hardware and its ocean emission model so to have dependable measurements a good calibration of the instrument becomes necessary. This report tries to enhance the calibration of these instruments. It requires using stationary statistics of the prevailing trade winds over the ocean to replicate the performance of the radiometer. The model in this report will introduce flaws to simulate errors in the ocean emission model as well as in the hardware. Identifying one error at any given time and taking the difference between the histograms of the statistics of the brightness temperature from an ideal instrument and the statistics of the brightness temperature from the instruments with a fault will offer an image of whether or not this will be possible to see a signal or if it is concealed in the statistical changes of the brightness temperature from year to year.
The outcomes indicate that it’s going to be a great strategy for finding and fixing hardware errors because of cross contamination in the antenna if the field transformation coefficients are set to have a phase of 45 or 135 degrees. Furthermore it will be impossible to correct any kind of error if the angle would have an extremely different value but it would still be in a position to differentiate a hardware error from an error in the ocean emission model. It will not be possible with this approach to detect any ocean emission model errors or any noise distortions in the antenna. The alterations in the brightness temperature because of the non-stationary statistics will hide these signals but this also implies that if a signal would appear when using this method it could be due to an error in the hardware.
Source: Luleå University of Technology
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