Abstract
Altimeter waveforms are usually contaminated due to nonmarine surfaces or inhomogeneous sea state conditions. The present work aimed to present how the singular spectrum analysis (SSA) can be used to reduce the noise level in Jason-1 altimeter waveforms to obtain SSA-denoised waveforms, improving the accuracy of a mean sea surface height (MSSH) model. Comparing the retracked sea surface heights (SSHs) by a 50% threshold retracker for the SSA-denoised waveforms with those for the raw waveforms, the results indicated that SSA allowed a noise reduction on Jason-1 waveforms, improving the accuracy of retracked SSHs. The MSSH model (called Model 1) over the South China Sea with a grid of 2′ × 2′ was established from the retracked SSHs of Jason-1 by the 50% threshold retracker for the SSA-denoised waveforms. Comparing Model 1 and Model 2 (established from the retracked SSHs by the 50% threshold retracker for the raw waveforms) with the CLS15 and DTU18 models in the South China Sea, it was found that the accuracy of Model 1 was higher than that of Model 2, which indicates that using SSA to reduce noise level in Jason-1 waveforms can effectively improve the accuracy of the MSSH model.
Highlights
Satellite radar altimeters provide information on the Earth’s surface by transmitting a series of radio-frequency pulses and recording their echo waveforms [1]
The goal of this work was to reduce the noise level in Jason-1 altimeter waveforms with singular spectrum analysis (SSA) to improve the accuracy of Jason-1 altimeter data, and to validate whether SSA can effectively improve the accuracy of mean sea surface height (MSSH) model over the South China Sea established from SSA-denoised waveforms retracking of Jason-1 data
In order to validate the accuracy and reliability of the MSSH model established in the present study and whether SSA can effectively improve the accuracy of the MSSH model, Model 1 and Model 2 were compared in terms of sea surface heights (SSHs) with the CLS15 [26] and DTU18 [27] models in the South China Sea, respectively
Summary
Satellite radar altimeters provide information on the Earth’s surface by transmitting a series of radio-frequency pulses and recording their echo waveforms [1]. The goal of this work was to reduce the noise level in Jason-1 altimeter waveforms with SSA to improve the accuracy of Jason-1 altimeter data, and to validate whether SSA can effectively improve the accuracy of MSSH model over the South China Sea established from SSA-denoised waveforms retracking of Jason-1 data.
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