Ocean Surface Current Inversion Method for a Doppler Scatterometer

The ocean surface current is a very important parameter of ocean dynamic environment. It is connected to global climate change, marine environment forecasting, marine navigation, engineering security, and so on. The observation and prediction of ocean surface current have attracted more and more concern. Doppler Scatterometer (DopScat) is a new type of radar for ocean surface wind and current field remote sensing. The ocean surface current inversion method of DopScat impacts the measurement accuracy directly. In this paper, we establish the simulation model of a DopScat and provide the radial velocity error model. The numerical ocean surface Doppler spectrum model is also introduced and validated with the empirical geophysical model function in C-band (CDOP). The suitable ocean wave elevation spectrum and directional distribution function are selected. What is more, this paper establishes the maximum likelihood estimation (MLE) method to retrieve the ocean surface current and wind simultaneously. The retrieval accuracy for different positions in cross track, different wind speeds, and different current speeds are analyzed. At last, the global ocean current field is observed by DopScat and the ocean current is retrieved. In our simulation, the orbit parameters and observation geometry of DopScat are the same as that of HY-2A scatterometer. The retrieval results show that global current speed standard deviation can be smaller than 0.18 m/s for five days and $0.5 {^{\circ }} \times 0.5 {^{\circ }}$ grid average.

[1]  David G. Long,et al.  Calibration of spaceborne scatterometers using tropical rain forests , 1996, IEEE Trans. Geosci. Remote. Sens..

[2]  Marcos Portabella,et al.  On Bayesian scatterometer wind inversion , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[3]  A. Stoffelen,et al.  DopSCAT: A mission concept for simultaneous measurements of marine winds and surface currents , 2015 .

[4]  Bertrand Chapron,et al.  Direct Surface Current Field Imaging from Space by Along-Track InSAR and Conventional SAR , 2010 .

[5]  J. Apel An improved model of the ocean surface wave vector spectrum and its effects on radar backscatter , 1994 .

[6]  Bertrand Chapron,et al.  On the Use of Doppler Shift for Sea Surface Wind Retrieval From SAR , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Xiaolong Dong,et al.  The Feasibility of Ocean Surface Current Measurement Using Pencil-Beam Rotating Scatterometer , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[9]  Mingsen Lin,et al.  The HY-2 satellite and its preliminary assessment , 2012, Int. J. Digit. Earth.

[10]  Marcos Portabella,et al.  A probabilistic approach for SeaWinds data assimilation , 2004 .

[11]  Francois Le Chevalier,et al.  An analytical model for the description of the full‐polarimetric sea surface Doppler signature , 2015 .

[12]  Bertrand Chapron,et al.  Predicted Doppler shifts induced by ocean surface wave displacements using asymptotic electromagnetic wave scattering theories , 2008 .

[13]  Bertrand Chapron,et al.  Direct measurements of ocean surface velocity from space: Interpretation and validation , 2005 .

[14]  G. Mitchum,et al.  Tropical Pacific near‐surface currents estimated from altimeter, wind, and drifter data , 1999 .

[15]  Francois Le Chevalier,et al.  DOPSCAT: A mission concept for a Doppler wind-scatterometer , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[16]  Michael Spencer,et al.  SeaWinds: the QuikSCAT wind scatterometer , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[17]  R. Bernstein,et al.  SEASAT altimeter determination of ocean current variability , 1982 .

[18]  Roland Romeiser,et al.  Numerical study on the along-track interferometric radar imaging mechanism of oceanic surface currents , 2000, IEEE Trans. Geosci. Remote. Sens..

[19]  David L. T. Anderson,et al.  Scatterometer Data Interpretation: Measurement Space and Inversion , 1997 .

[20]  Marcos Portabella Arnús Wind Field Retrieval from Satellite Radar Systems , 2002 .

[21]  Fuk K. Li,et al.  A comparative study of several wind estimation algorithms for spaceborne scatterometers , 1988 .

[22]  David G. Long,et al.  Improved resolution backscatter measurements with the SeaWinds pencil-beam scatterometer , 2000, IEEE Trans. Geosci. Remote. Sens..

[23]  W. Pierson,et al.  Correction to “Probabilities and statistics for backscatter estimates obtained by a scatterometer” , 1990 .

[24]  Xiaolong Dong,et al.  Ocean surface current measurement using pencil-beam rotating scatterometer , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.