Regional accuracy of QuikSCAT gridded winds

International Journal of Remote Sensing

Volumn 26, Issue 18, 2005, Pages 4117-4136

  Mostovoy, G V ^a   Fitzpatrick, P J ^a   Li, Y ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; INTERPOLATION; MATHEMATICAL MODELS; SAMPLING; WIND;

MICROWAVE SCATTEROMETER; SPATIAL TEMPORAL INTERPOLATION; WIND SPEED FIELDS;

REMOTE SENSING;

COASTAL WATER; REMOTE SENSING; SCATTEROMETER; SEA BREEZE; WIND VELOCITY;

ATLANTIC OCEAN; BAY OF BENGAL; GULF OF MEXICO; INDIAN OCEAN;

EID: 27744583064     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500165864     Document Type: Article

References (34)

1. Bentamy, A., Grima, N. and Quilfen, Y., 1998, Validation of the gridded weekly and monthly wind fields calculated from ERS-1 scatterometer wind observations. The Global Atmosphere and Ocean System, 6, pp. 373-396.
2. Bhat, G.S., 2001, Near surface atmospheric characteristics over the North Bay of Bengal during the Indian summer monsoon. Geophysical Research Letters, 28, pp. 987-990.
3. Bordoni, S., Ciesielski, P.E., Johnson, R.H., McNoldy, B.D. and Stevens, B., 2004, The low-level circulation of the North American Monsoon as revealed by QuikSCAT. Geophysical Research Letters, 31, L10109, doi: 10.1029/2004GL020009.
4. Bourassa, M.A., Legler, D.M. and O'Brien, J.J., 2003, Scatterometry data sets: High quality winds over water. In Advances in the Applications of Marine Climatology: The Dynamic Part of the WMO Guide to the Applications of Marine Climatology, WMO/TD-1081, pp. 159-174 (Geneva, Switzerland: World Meteorological Organization).
5. Chelton, D.B. and Schax, M.G., 1994, The resolution capability of an irregularly sampled dataset: with application to GeoSat altimeter data. Journal of Atmospheric and Oceanic Technology, 11, pp. 534-550.
6. Cressman, G.P., 1959, An operational objective analysis system. Monthly Weather Review, 87, pp. 367-374.
7. Ebuchi, N., Graber, H.C. and Caruso, M.J., 2002, Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. Journal of Atmospheric and Oceanic Technology, 19, pp. 2049-2062.
8. Fitzpatrick, P.J., Mostovoi, G.V. and Li, Y., 2002, Validation and comparison of a mesoscale model and NOGAPS in the Bay of Bengal and Arabian Sea for March-August 2001. Technical Report, available from Mississippi State University ERC, 88 pp.
9. Fox, A.D., Haines, K. and de Cuevas B.A., 2000, Modeling internal waves with a Global Ocean model. International WOCE Newsletters, 39, pp. 27-30.
10. Freilich, M.H. and Dunbar, R.S., 1999, The accuracy of the NSCAT-1 vector winds: Comparisons with National Data Buoy Center buoys. Journal of Geophysical Research, 104, pp. 11231-11246.
11. Grell, G., Dudhia, J. and Stauffer, D.R., 1994, A description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5). NCAR/TN398 + STR, 138 pp.
12. Grodsky, S.A. and Carton, J.A., 2001, Coupled land/atmosphere interactions in the West African Monsoon. Geophysical Research Letters, 28, pp. 1503-1504.
13. Hastenrath, S. and Lamb, P.J., 1979, Climatic Atlas of the Indian Ocean. Part I: Surface climate and atmospheric circulation (Wisconsin: University of Wisconsin Press).
14. Hu, H. and Liu, W.T., 2002, QuikSCAT reveals the surface circulation of the Catalina Eddy. Geophysical Research Letters, 29, p. 1821.
15. Kalnay, E.M., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Jahowiaz, J., Ho, K.C., Ropelewski, C., Wary, J., Leetma, A., Reynolds, R., Jenne, R. and Joseph, D., 1996, The NCEP/NCAR 40-years reanalysis project. Bulletin of the American Meteorological Society, 77, pp. 437-471.
16. Katsaros, K.B., Forde, E.B., Chang, P. and Liu, W.T., 2001, QuikScat's SeaWinds facilitates early identification of tropical depressions in 1999 hurricane season. Geophysical Research Letters, 28, pp. 1043-1046.
17. Kelly, K.A. and Caruso, M.J., 1990, A modified objective mapping technique for scatterometer wind data. Journal of Geophysical Research, 95, pp. 13483-13496.
18. Kelly, K.A., Dickinson, S. and Yu, Z., 1999, NSCAT tropical wind stress maps: Implications for improving ocean modeling. Journal of Geophysical Research, 104, pp. 11291-11310.
19. Liu, W.T., 2002, Progress in scatterometer application. Journal of Oceanography, 58, pp. 121-136.
20. Liu, W.T., Tang, W. and Polito, P.S., 1998, NASA scatterometer provides global ocean-surface wind fields with more structures than numerical weather prediction. Geophysical Research Letters, 25, pp. 761-764.
21. Liu, W.T., Xie, X., Polito, P.S., Xie, X.-P. and Hashizume, H., 2000, Atmospheric manifestation of Tropical Instability Wave observed by QuikSCAT and Tropical Rain Measuring Mission. Geophysical Research Letters, 27, pp. 2545-2548.
22. Marinone, S.G., Páres-Sierra, A., Castro, R. and Mascarenhas, S.G., 2004, Correction to 'Temporal and Spatial variation of the surface winds in the Gulf of California'. Geophysical Research Letters, 31, L10305, doi: 10.1029/2004GL020064.
23. Milliff, R.F. and Morzel, J., 2001, The global distribution of the time-average wind stress curl from NSCAT. Journal of the Atmospheric Sciences, 58, pp. 109-131.
24. Nielsen-Gammon, J.W., 2001, The subtropical sea breeze. In Proceedings of 9th AMS Conference on Mesoscale Processes, Fort Lauderdale, FL, (30 July - 2 August 2001), American Meteorological Society: Boston, pp. 171-174.
25. Páres-Sierra, A., Mascarenhas, S.G., Marinone, S.G. and Castro, R., 2003, Temporal and spatial variation of the surface winds in the Gulf of California. Geophysical Research Letters, 30, 1312, doi: 10.1029/ 2002GL016716.
26. Pegion, P.J., Bourassa, M.A., Legler, D.M. and O'Brien, J.J., 2000, Objectively derived daily 'winds' from satellite scatterometer data. Monthly Weather Review, 128, pp. 3150-3168.
27. Pickett, M.H., Tang, W., Rosenfeld, L.K. and Wash, C.H., 2003, QuikSCAT satellite comparisons with nearshore buoy wind data off the US West Coast. Journal of Atmospheric and Oceanic Technology, 20, pp. 1869-1879.
28. QuikSCAT 2001, Remote Sensing Systems' Database for Satellite Microwave Data, Available online at ftp://ftp.ssmi.com/qscat, (Accessed in 2004).
29. Schlax, M.G., Chelton, D.B. and Freilich, M.H., 2001, Sampling errors in wind fields constructed from single and tandem scatterometer datasets. Journal of Atmospheric and Oceanic Technology, 18, pp. 1014-1036.
30. Verschell, M.A., Bourassa, M.A., Weisman, D.E. and O'Brien, J.J., 1999, Model validation of the NASA Scatterometer winds. Journal of Geophysical Research, 104, pp. 11359-11374.
31. Wentz, F., Smith, D. and Mears, C., 2001, Advanced algorithm for QuikSCAT and SeaWinds/AMSR. Proceedings of IEEE 2001 International Geoscience and Remote Sensing Symposium, 9-13 July, IEEE: Sydney, Australia, pp. 1079-1081.
32. Yu, Z. and Moore, D.W., 2000, Validating the NSCAT winds in the vicinity of the Pacific Intertropical Convergence Zone. Geophysical Research Letters, 27, pp. 2121-2124.
33. Zavala-Hidalgo, J., Yu, P., Morey, S.L., Bourassa, M. and O'Brien, J., 2003, A new interpolation method for high frequency forcing fields. In Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation, 2 pp.
34. Zeng, L. and Levy, G., 1995, Space and time aliasing structure in monthly mean polar-orbiting satellite data. Journal of Geophysical Research, 100, pp. 5133-5142.