A reconstruction approach to scatterometer wind vector field retrieval

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 6 PART 1, 2011, Pages 1850-1864

  Williams, Brent A ^a   Long, David G ^b  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b BRIGHAM YOUNG UNIVERSITY   (United States)

Author keywords

Irregular sampling; maximum a posteriori (MAP) estimation; reconstruction; scatterometry; wind estimation

Indexed keywords

IRREGULAR SAMPLING; MAXIMUM A POSTERIORI (MAP) ESTIMATION; RECONSTRUCTION; SCATTEROMETRY; WIND ESTIMATION;

BAYESIAN NETWORKS; METEOROLOGICAL INSTRUMENTS; STANDARDS; WIND EFFECTS;

ESTIMATION;

BAYESIAN ANALYSIS; NONLINEAR WAVE; SAMPLING; SCATTEROMETER; SPATIAL RESOLUTION; VECTOR; WIND FIELD;

EID: 79957664141     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2100402     Document Type: Article

References (38)

1. T. Lungu, QuikSCAT Science Data Product Users Manual Overview and Geophysical Data Products. Pasadena, CA: JPL, Sep. 2006.
2. ASCAT Wind Product User Manual, KNMI, De Built, 2009.
3. B. W. Stiles, S. M. Hristova-Veleva, R. S. Dunbar, S. Chan, S. L. Durden, D. Esteban-Fernandez, E. Rodriguez, W. L. Poulsen, R. W. Gaston, and P. S. Callahan, "Obtaining accurate ocean surface winds in hurricane conditions: A dual-frequency scatterometry approach," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 8, pp. 3101-3113, Aug. 2010.
4. A. Stoffelen and M. Portabella, "On Bayesian scatterometer wind inversion," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1523-1533, Jun. 2006. (Pubitemid 43824499)
5. B. W. Stiles, B. D. Pollard, and R. S. Dunbar, "Direction interval retrieval with thresholded nudging: A method for improving the accuracy of QuikSCAT winds," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 1, pp. 79-89, Jan. 2002. (Pubitemid 34255522)
6. A. Stoffelen and D. Anderson, "Ambiguity removal and assimilation of scatterometer data," Q. J. R. Meteorol. Soc., vol. 123, no. 538, pp. 491- 518, Jan. 1997.
7. H. Roquet and A. Ratier, "Towards direct variational assimilation of scatterometer backscatter measurements into numerical weather prediction models," in Proc. Int. Geosci. Remote Sens. Symp., Edinburgh, U.K., 1988, pp. 257-260.
8. A. Stoffelen, S. de Haan, Y. Quilfen, and H. Schyburg, "ERS scatterometer ambiguity removal scheme comparison," OSISAF, EUMETSAT, Darmstadt, Germany, Tech. Rep., 2000.
9. D. Cornford, G. Ramage, and I. T. Nabney, "A scatterometer neural network sensor model with input noise," Neurocomputing, vol. 30, no. 1-4, pp. 13-21, Jan. 2000.
10. R. N. Hoffmann, S. M. Leidner, J. M. Hendersom, R. Atlas, J. V. Ardizzone, and S. C. Bloom, "A two-dimensional variational analysis method for NSCAT ambiguity removal: Methodology, sensitivity, and tuning," J. Atmos. Ocean. Technol., vol. 20, no. 5, pp. 585-605, May 2003. (Pubitemid 36685076)
11. M. Portabella and A. Stoffelen, "A probabilistic approach for SeaWinds data assimilation," Q. J. R. Meteorol. Soc., vol. 130, no. 596, pp. 127-152, Jan. 2004. (Pubitemid 38187909)
12. J. Vogelzang, A. S. A. Verhoef, J. de Vries, and H. Bonekamp, "Validation of two-dimensional variational ambiguity removal on SeaWinds scatterometer data," J. Atmos. Ocean. Technol., vol. 26, no. 7, pp. 1229- 1245, Jul. 2009.
13. M. Portabella and A. Stoffelen, "Scatterometer backscatter uncertainty due to wind variability," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3356-3362, Nov. 2006.
14. B. A. Williams, M. P. Owen, and D. G. Long, "The ultra high resolution QuikSCAT product," in Proc. IEEE Radar Conf., Pasadena, CA, May 2009, pp. 1-6.
15. A. M. Plagge, D. C. Vandemark, and D. G. Long, "Coastal validation of ultra-high resolution wind vector retrieval from QuikSCAT in the Gulf of Maine," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 3, pp. 413-417, Jul. 2009.
16. D. G. Long, "Wind field model-based estimation of SEASAT scatterometer winds," J. Geophys. Res., vol. 98, no. C8, pp. 14 651-14 688, Aug. 1993.
17. D. G. Long and J. M. Mendel, "Model-based estimation of wind fields over the ocean from scatterometer measurements part I: The wind field model," IEEE Trans. Geosci. Remote Sens., vol. 28, no. 2, pp. 349-360, May 1990.
18. D. G. Long and J. M. Mendel, "Model-based estimation of wind fields over the ocean from scatterometer measurements part II: Estimation of the model parameters," IEEE Trans. Geosci. Remote Sens., vol. 28, no. 2, pp. 361-373, May 1990.
19. D. G. Long, P. J. Hardin, and P. T. Whiting, "Resolution enhancement of spaceborne scatterometer data," IEEE Trans. Geosci. Remote Sens., vol. 31, no. 3, pp. 700-715, May 1993.
20. D. S. Early and D. G. Long, "Image reconstruction and enhanced resolution imaging from irregular samples," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 291-302, Feb. 2001. (Pubitemid 32277327)
21. B. A. Williams and D. G. Long, "Scatterometer image reconstruction from aperture-filtered samples," in Proc. Int. Geosci. Remote Sens. Symp., Honolulu, HI, Jul. 2010, pp. 1835-1838.
22. B. A. Williams and D. G. Long, "Reconstruction from aperture-filtered samples with application to scatterometer image reconstruction," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1663-1676, May 2011.
23. A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, A. V. Oppenheim, Ed., 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 1999.
24. H. G. Feichtinger and K. Grochenig, "Irregular sampling theorems and series expansions of band-limited functions," J. Math. Anal. Appl., vol. 167, no. 2, pp. 530-556, Jul. 1992.
25. F. T. Ulaby, R. K. Moore, and A. K. Fung, Microwave Remote Sensing, vol. 1. Norwood, MA: Artech House, 1981.
26. M. W. Spencer and D. G. Long, "High resolution measurements with a spaceborne pencil-beam scatterometer using combined range/Doppler discrimination techniques," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 3, pp. 567-581, Mar. 2003.
27. F. T. Ulaby, R. K. Moore, and A. K. Fung, Microwave Remote Sensing, vol. 2. Norwood, MA: Artech House, 1981.
28. M. H. Freilich and D. B. Chelton, "Wavenumber spectra of pacific winds measured by the SEASAT scatterometer," J. Phys. Oceanogr., vol. 16, no. 4, pp. 741-757, Apr. 1986.
29. R. E. Fischer, "Standard deviation of scatterometer measurements from space," IEEE Trans. Geosci. Electron., vol. GE-10, no. 2, pp. 106-113, Apr. 1972.
30. M.W. Spencer and D. G. Long, "Radar backscatter measurement accuracy for a spaceborne pencil-beam wind scatterometer with transmit modulation," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 1, pp. 102-114, Jan. 1997. (Pubitemid 127771048)
31. D. G. Long and J. M. Mendel, "Identifiability in wind estimation from wind scatterometer measurements," IEEE Trans. Geosci. Remote Sens., vol. 29, no. 2, pp. 268-276, Mar. 1991.
32. T. D. Moon andW. C. Stirling, Mathemetical Methods and Algorithms for Signal Processing, T. Robbins, Ed. Upper Saddle River, NJ: Prentice- Hall, 2000.
33. B. A. Williams and D. G. Long, "Hurricane wind field estimation from SeaWinds at ultra high resolution," in Proc. IGARSS, 2007, pp. 1075- 1078. (Pubitemid 351242892)
34. M. Portabella and A. Stoffelen, "Scatterometer backscatter uncertainty due to wind variability," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3356-3362, Nov. 2006.
35. T. M. Cover and J. A. Thomas, Elements of Information Theory, 2nd ed. Hoboken, NJ: Wiley Interscience, 2005.
36. B. A.Williams, "Signal processing methods for ultra high resolution scatterometry," Ph.D. dissertation, Brigham Young Univ., Provo, UT, 2010.
37. C.-Y. Chi and F. K. Li, "A comparative study of several wind estimation algorithms for spaceborne scatterometers," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 2, pp. 115-121, Mar. 1988.
38. I. S. Ashcraft and D. G. Long, "The spatial response function of SeaWinds backscatter measurements," in Proc. SPIE,W. L. Barnes, Ed., Aug. 2003, vol. 5151, pp. 609-618.