A comparison of a two-dimensional variational analysis method and a median filter for NSCAT ambiguity removal

Journal of Geophysical Research: Oceans

Volumn 108, Issue 6, 2003, Pages

  Henderson, J M ^a   Hoffman, R N ^a   Leidner, S M ^a   Atlas, R ^b   Brin, E ^b,c   Ardizzone, J V ^b,c  

^a ATMOSPHERIC AND ENVIRONMENTAL RESEARCH   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c GENERAL SCIENCES CORPORATION   (United States)

Author keywords

Improving NWP representation of marine cyclones; NSCAT scatterometer; Variational data assimilation; Wind ambiguity removal

Indexed keywords

ANALYTICAL METHOD; COMPARATIVE STUDY; REMOTE SENSING; SCATTEROMETER; SEA SURFACE; WIND VELOCITY;

EID: 0038398558     PISSN: None     EISSN: 21699291     Source Type: Journal    
DOI: 10.1029/2002jc001307     Document Type: Article

References (28)

1. Atlas, R., and R. N. Hoffman, The use of satellite surface wind data to improve weather analysis and forecasting, in Satellites, Oceanography and Society, Elsevier Oceanogr. Ser., vol. 63, edited by D. Halpern, pp. 57-78, Elsevier, New York, 2000.
2. Atlas, R., S. C. Bloom, R. N. Hoffman, J. V. Ardizzone, and G. Brin, Space-based surface wind vectors to aid understanding of air-sea interactions, Eos Trans. AGU, 72, 201-208, 1991.
3. Atlas, R., R. N. Hoffman, and S. C. Bloom, Surface wind velocity over the oceans, in Atlas of Satellite Observations Related to Global Change, edited by R. J. Gurney, J. L. Foster, and C. L. Parkinson, pp. 129-139, Cambridge Univ. Press, New York, 1993.
4. Atlas, R., R. N. Hoffman, S. C. Bloom, J. C. Jusem, and J. Ardizzone, A multiyear global surface wind velocity data set using SSM/I wind observations, Bull. Am. Meteorol. Soc., 77, 869-882, 1996.
5. Atlas, R., S. C. Bloom, R. N. Hoffman, E. Brin, J. Ardizzone, J. Terry, D. Bungato, and J. C. Jusem, Geophysical validation of NSCAT winds using atmospheric data and analyses, J. Geophys. Res, 104, 11,405-11,424, 1999.
6. Atlas, R., et al., The effects of marine winds from scatterometer data on weather analysis and forecasting, Bull. Am. Meteorol. Soc., 82, 1965-1990, 2001.
7. Busalacchi, A. J., R. M. Atlas, and E. C. Hackert, Comparison of Special Sensor Microwave Imager vector wind stress with model-derived and subjective products for the tropical Pacific, J. Geophys. Res., 98, 6961-6978, 1993.
8. Figa, J., and A. Stoffelen, On the assimilation of Ku-band scatterometer winds for weather analysis and forecasting, IEEE Trans. Geosci. Remote Sens., 38, 1893-1902, 2000.
9. Freilich, M. H., and R. S. Dunbar, The accuracy of the NSCAT 1 vector winds: Comparisons with National Data Buoy Center buoys, J. Geophys. Res., 104, 11,231-11,246, 1999.
10. Gonzales, A. E., and D. G. Long, An assessment of NSCAT ambiguity removal, J. Geophys. Res., 104, 11,449-11,457, 1999.
11. Hoffman, R., SASS wind ambiguity removal by direct minimization, Mon. Weather Rev., 110, 434-445, 1982.
12. Hoffman, R. N., SASS wind ambiguity removal by direct minimization: II. Use of smoothness and dynamical constraints, Mon. Weather Rev., 112, 1829-1852, 1984.
13. Hoffman, R. N., S. M. Leidner, J. M. Henderson, 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. Oceanic Technol., 20, 585-605, 2003.
14. Huddleston, J. N., and B. W. Stiles, A multidimensional histogram rainflagging technique for SeaWinds on QuikSCAT, paper presented at International Geoscience and Remote Sensing Symposium (IGARSS). Inst. of Electr. and Electr. Eng., Honolulu, Hawaii, 2000.
15. Kim, Y.-J., A physical-model-based, field-wise and self-contained algorithm for removing directional ambiguities of ocean surface winds retrieved from scatterometer measurements, Geophys. Res. Lett., 27, 2665-2668, 2000.
16. Leidner, S. M., L. Isaksen, and R. N. Hoffman, Impact of NSCAT winds on tropical cyclones in the ECMWF 4D-Var assimilation system, Mon. Weather Rev., 131, 3-26, 2003.
17. Liu, W. T., W. Tang, and R. Atlas, Responses of the tropical Pacific to wind forcing as observed by spaceborne sensors and simulated by an ocean general circulation model, J. Geophys. Res, 101, 16,345-16,359, 1996.
18. Mears, C., D. Smith, and F. Wentz, Detecting rain with QuikSCAT, paper presented at International Geoscience and Remote Sensing Symposium (IGARSS), Inst. of Electr. and Electr. Eng., Honolulu, Hawaii, 2000.
19. Offiler, D., Wind retrieval and ambiguity removal, EPIPVS Project Note 9, Met Office, Bracknell, UK, 1992.
20. Pak, K. S., Y.-J. Kim, P. S. Callahan, R. S. Dunbar, S. V. Hsiao, and A. Zhang, A multi-pass median filter technique to remove ambiguities in retrieved wind fields from spaceborne scatterometer data, paper presented at International Geoscience and Remote Sensing Symposium (IGARSS), Inst. of Electr. and Electr. Eng., Seattle, Wash., 1998.
21. Pasch, R. J., and L. A. Avila, Atlantic hurricanes of 1996, Mon. Weather Rev., 127, 581-610, 1999.
22. Ponte, R. M., and R. D. Rosen, Determining torques over the ocean and their role in the planetary momentum budget, J. Geophys. Res., 98, 7317-7325, 1993.
23. Rienecker, M. M., R. Atlas, S. D. Schubert, and C. A. Willett, A comparison of surface wind products over the North Pacific Ocean, J. Geophys. Res., 101, 1011-1023, 1996.
24. Shaffer, S. J., R. S. Dunbar, S. V. Hsiao, and D. G. Long, A median-fifter-based ambiguity removal algorithm for NSCAT, IEEE Trans. Geosci. Remote Sens., 29, 167-174, 1991.
25. Simpson, R. H., The hurricane disaster potential scale, Weatherwise, 27, 169-186, 1974.
26. Stoffelen, A., and D. Anderson, Ambiguity removal and assimilation of scatterometer data, Q. J. R. Meteorol. Soc., 123, 491-518, 1997.
27. Thépaut, J.-N., R. N. Hoffman, and P. Courtier, Interactions of dynamics and observations in a four-dimensional variational assimilation. Mon, Weather Rev., 121, 3393-3414, 1993.
28. Wentz, F. J., and D. K. Smith, A model function for the ocean-normalized radar cross section at 14 GHz derived from NSCAT observations, J. Geophys. Rev., 104, 11,499-11,514, 1999.