Pulse-to-Pulse Correlation Effects in High PRF Low-Resolution Mode Altimeters

In this paper, we revisit the pulse-to-pulse correlation properties of nadir-looking pulse-limited altimeters, with the objective of determining the effect of the partial correlation of radar echoes transmitted at much higher rate than the conventional pulse repetition frequency (PRF). This is particularly relevant for the Sentinel-6/Jason-CS mission. The pulse-to-pulse echo power autocorrelation shows much shorter decorrelation times toward the trailing edge of the waveform than those observed for range gates close to the leading edge. At high PRFs this creates a significant variability in the statistical properties of the range gates in the 20-Hz multilooked waveforms. By processing an extensive data set of CryoSat-2 Synthetic Aperture Radar mode data in a pseudo-low resolution mode fashion, we determined that despite the fact that at higher PRFs the noise in the estimation of geophysical parameters is reduced, significant sea-state-dependent biases are also introduced during the retracking process, which are particularly relevant for sea surface height and significant wave height. Those biases will need to be appropriately accounted for when integrating Sentinel-6/Jason-CS data in a climatological data record.

[1]  E. Wolf,et al.  Principles of Optics (7th Ed) , 1999 .

[2]  E. J. Christensen,et al.  TOPEX/POSEIDON mission overview , 1994 .

[3]  Remko Scharroo,et al.  Waveform Aliasing in Satellite Radar Altimetry , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Walter H. F. Smith,et al.  Retracking CryoSat-2, Envisat and Jason-1 radar altimetry waveforms for improved gravity field recovery , 2014 .

[5]  Graham D. Quartly,et al.  Analyzing altimeter artifacts: statistical properties of ocean waveforms , 2001 .

[6]  J. Willis,et al.  The OSTM/Jason-2 Mission , 2010 .

[7]  Duncan J. Wingham,et al.  The mean echo and echo cross product from a beamforming interferometric altimeter and their application to elevation measurement , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[8]  R. Keith Raney,et al.  The delay/Doppler radar altimeter , 1998, IEEE Trans. Geosci. Remote. Sens..

[9]  Ernesto Rodríguez,et al.  Correlation properties of ocean altimeter returns , 1994, IEEE Trans. Geosci. Remote. Sens..

[10]  Walter H. F. Smith Spectral windows for satellite radar altimeters , 2018, Advances in Space Research.

[11]  Edward J. Walsh,et al.  Pulse‐to‐pulse correlation in satellite radar altimeters , 1982 .

[12]  E. Leuliette,et al.  Covariant errors in ocean retrackers evaluated using along-track cross-spectra , 2017 .

[13]  T. Berger,et al.  Satellite altimetry using ocean backscatter , 1972 .

[14]  Walter H. F. Smith,et al.  Retracking ERS-1 altimeter waveforms for optimal gravity field recovery , 2005 .

[15]  L. Phalippou,et al.  CryoSat: A mission to determine the fluctuations in Earth’s land and marine ice fields ☆ , 2006 .

[16]  L. Amarouche,et al.  Improving the Jason-1 Ground Retracking to Better Account for Attitude Effects , 2004 .

[17]  G.D. Quartly Optimizing $\sigma^{0}$ Information From the Jason-2 Altimeter , 2009, IEEE Geoscience and Remote Sensing Letters.

[18]  R. Keith Raney,et al.  CryoSat SAR-Mode Looks Revisited , 2010, IEEE Geoscience and Remote Sensing Letters.

[19]  John C. Ries,et al.  Chapter 1 Satellite Altimetry , 2001 .

[20]  Remko Scharroo,et al.  Jason continuity of services: continuing the Jason altimeter data records as Copernicus Sentinel-6 , 2015 .