Characterization of ASCAT measurements based on buoy and QuikSCAT wind vector observations

Ocean Science

Volumn 4, Issue 4, 2008, Pages 265-274

  Bentamy, A ^a   Croize Fillon, D ^a   Perigaud, C ^b  

^a IFREMER   (France)

^b NASA HEADQUARTERS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 73249128043     PISSN: 18120784     EISSN: 18120792     Source Type: Journal    
DOI: 10.5194/os-4-265-2008     Document Type: Article

References (16)

1. Ayina, H.-L., Bentamy, A., Madec, G., and Nuñez, A. M.: The Impact of Satellite Winds and Latent Heat Fluxes in a Numerical Simulation of the Tropical Pacific Ocean, J. Climate, 19(22), 5889-5902, doi:10.1175/JCLI3939.1, 2006. (Pubitemid 44964284)
2. Bentamy, A., Grima, N., and Quilfen, Y.: Validation of the gridded weekly and monthly wind fields calculated from ERS-1 scatterometer wind observations, Global Atmos. Ocean. System, 6, 373-396, 1998. (Pubitemid 29286004)
3. Blanke, B., Speich, S., Bentamy, A., Roy, C., and Sow, B.: Modeling the structure and variability of the southern Benguela upwelling using QuikSCAT wind forcing, J. Geophys. Res., 110(C7), C07018, doi:10.1029/2004JC0025292005, 2005.
4. Chelton, D. B. and Freilich, M. H.: Scatterometer-Based Assessment of 10-m Wind Analyses from the Operational ECMWF and NCEP Numerical Weather Prediction Models, Mon. Weather Rev., 133, 409-429, 2005. (Pubitemid 40323046)
5. Ebuchi, N., Graber, H. C., and Caruso, M. J.: Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data, J. Atmos. Oceanic Technol., 19, 2049-2069, 2002.
6. Figa, J. and Stoffelen, A.: On the assimilation of Ku-band scatterometer winds for weather analysis and forecasting, IEE Trans. Geosci. Remote Sens., 38, 1893-1902, 2000.
7. Freilich, M. H.: Validation of vector magnitude data sets: Effects of random component errors, J. Atmos. Ocean. Tech., 14, 695-703, 1997.
8. Hakeem, K. J.: Statistical dependencies of sea state characteristics on water temperature and wind-wave age, J. Mar. Sys., 4(2-3), 161-169, 1993.
9. Hersbach, H., Stoffelen, A., and de Haan, S.: An improved C-band scatterometer ocean geophysical model function: CMOD 5, J. Geophys. Res., 112, C03006, doi:10.1029/2006JC003743, 2007. (Pubitemid 46845214)
10. JPL: QuikScat science data product user's manual (version 3.0), Jet Propulsion Laboratory Publ. D-18053, Pasadena, CA, 91 pp., available online: http://podaac.jpl.nasa.gov/DATA CATALOG, 2006.
11. Katsaros, K. B., Forde, E. B., Chang, P., and Liu, W. T.: QuikSCAT facilitates early identification of tropical depressions in 1999 hurricane season, Geophys. Res. Lett., 28, 1043-1046, 2001. (Pubitemid 32569203)
12. Le Marshall, J., Leslie, L., Morison, R., Pescod, N., Seecamp, R., and Spinoso, C.: Recent Developments in the Continuous Assimilation of Satellite Wind Data for Tropical Cyclone Track Forecasting, Adv. Space Res., 25, 1077-1080, 2000. (Pubitemid 30135094)
13. Pickett, M. H., Tang, W., Rosenfeld, L. K., and Wash, C. H.: QuikSCAT satellite comparisons with nearshore buoy wind data off the US west coast, J. Atmos. Ocean. Tecnol., 20, 1869-1879, 2003. (Pubitemid 38122801)
14. Plant, W. J.: Effects of wind variability at low wind speed, J. Geophys. Res., 105(C7), 16899-16910, 2000.
15. Stoffelen, A., de Haan, S., Quilfen, Y., and Schyberg, H.: ERS Scatterometer Ambiguity Removal Comparison, OSI SAF report, available online: http://www.knmi.nl/scatterometer/publications/, 2002.
16. Wilks, D. S.: Statistical methods in the atmospheric sciences, Academic Press, 467 pp., 1995.