Wind stress curl and wind stress divergence biases from rain effects on QSCAT surface wind retrievals

Journal of Atmospheric and Oceanic Technology

Volumn 21, Issue 8, 2004, Pages 1216-1231

  Milliff, Ralph F ^a   Morzel, Jan ^a   Chelton, Dudley B ^b   Freilich, Michael H ^b  

^a NorthWest Research Associates Inc ^*  (United States)

^b OREGON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLIMATE CHANGE; MATHEMATICAL MODELS; RAIN; WIND EFFECTS;

SURFACE WIND FORCING; WIND STRESS CURLS;

METEOROLOGY;

RAINFALL; SCATTEROMETER; SURFACE WIND; WIND FORCING; WIND STRESS;

EID: 4444222349     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0426(2004)021<1216:WSCAWS>2.0.CO;2     Document Type: Article

References (27)

1. Chelton, D. B., and Coauthors, 2001: Observations of coupling between surface wind stress and sea surface temperature in the eastern tropical Pacific. J. Climate, 14, 1479-1498.
2. Chelton, D. B., M. G. Schlax, M. H. Freilich, and R. F. Milliff, 2004: Satellite radar measurements reveal short-scale features in the wind stress field over the world ocean. Science, 303, 978-983.
3. Chen, D., W. T. Liu, S. E. Zebiak, M. A. Cane, Y. Kushnir, and D. Witter, 1999: Sensitivity of the tropical Pacific Ocean simulation to the temporal and spatial resolution of wind forcing. J. Geophys. Res., 104C, 11 261-11 271.
4. Chin, T. M., R. F. Milliff, and W. G. Large, 1998: Basin-scale, high wavenumber, sea surface wind fields from a multiresolution analysis of scatterometer data. J. Atmos. Oceanic Technol., 15, 741-763.
5. Draper, D. W., and D. G. Long, 2002: An assessment of Sea Winds on QuikSCAT wind retrieval. J. Geophys. Res., 107C, 3212, doi: 10.1029/2002JC001330.
6. Ebuchi, N., H. C. Graber, and M. J. Caruso, 2002: Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. J. Atmos. Oceanic Technol., 19, 2049-2062.
7. Freilich, M. H., 1996: Sea winds algorithm theoretical basis document. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 56 pp. [Available online at http://podaac.jpl.nasa.gov/quikscat/ qscatc.html.
8. Freilich, M. H., and D. B. Chelton, 1986: Wavenumber spectra of Pacific winds measured by the Seasat scatterometer. J. Phys. Oceanogr., 16, 741-757.
9. Freilich, M. H., and B. Vanhoff, 2003: The accuracy of the QuikSCAT Standard (L2B and DIRTH) wind products. Proc. Ocean Vector Winds Science Team Meeting, Oxnard, CA, NASA Jet Propulsion Laboratory.
10. Huddleston, J. N., and B. W. Stiles, 2000: Multidimensional Histogram (MUDH) Rain Flag, Product description version 2.1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 8 pp.
11. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
12. Kelly, K. A., S. Dickinson, and Z. Yu, 1999: NSCAT tropical wind stress maps: Implications for improving ocean modeling. J. Geophys. Res., 104C, 11 291-11 310.
13. Mears, C., F. Wentz, and D. Smith, 2000: SeaWinds on QuikScat Normalized Objective Function Rain Flag, Product description version 1.2. Remote Sensing Systems, Santa Rosa, CA, 13 pp.
14. Milliff, R. F., and J. Morzel, 2001: The global distribution of the time-average wind-stress curl from NSCAT. J. Atmos. Sci., 58, 109-131.
15. Milliff, R. F., W. G. Large, W. R. Holland, and J. C. McWilliams, 1996: The general circulation responses of high-resolution North Atlantic ocean models to synthetic scatterometer winds. J. Phys. Oceanogr., 26, 1747-1768.
16. Milliff, R. F., W. G. Large, J. Morzel, G. Danabasoglu, and T. M. Chin, 1999: Ocean general circulation model sensitivity to forcing from scatterometer winds. J. Geophys. Res., 104C, 11 337-11 358.
17. Milliff, R. F., M. H. Freilich, W. T. Liu, R. Atlas, and W. G. Large, 2001: Global ocean surface vector wind observations from space. Observing the Oceans in the 21st Century, C. J. Koblinsky and N. R. Smith, Eds., GODAE Project Office and Bureau of Meteorology, 102-119.
18. National Aeronautics and Space Administration, 2001: QuikSCAT science data product user's manual, overview and geophysical data products, version 2.2. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 89 pp. [Available online at http://podaac.jpl.nasa.gov/quikscat/qscatc.html.]
19. National Research Council, Space Studies Board, 2000: Ensuring the Climate Record from the NPP and NPOESS Meteorological Satellites. National Academy Press, 51 pp.
20. Nonaka, M., and S.-P. Xie, 2003: Covariations of sea surface temperature and wind over the Kuroshio and its extension: Evidence for ocean-atmosphere feedback. J. Climate, 16, 1404-1413.
21. O'Neill, L. W., D. B. Chelton, and S. K. Esbensen, 2003: Observations of SST-induced perturbations of the wind stress field over the Southern Ocean. J. Climate, 16, 2340-2354.
22. Patoux, J., and R. A. Brown, 2001: Spectral analysis of QuikScat surface winds and two-dimensional turbulence. J. Geophys. Res., 106D, 23 995-24 005.
23. Pedlosky, J., 1998: Ocean Circulation Theory. 1st ed. Springer-Verlag, 453 pp.
24. Schlax, M. G., D. B. Chelton, and M. H. Freilich, 2001: Sampling errors in wind fields constructed from single and tandem scatterometer datasets. J. Atmos. Oceanic Technol., 18, 1014-1036.
25. Schmitz, W. J., 1996: On the circulation of the world ocean: Vol. 1, Some global features/North Atlantic circulation. WHOI Tech. Rep. 96-03, 150 pp.
26. Stiles, B. W., 1999: Special wind vector data product: Direction interval retrieval with thresholded pudging (DIRTH), Product description version 1.1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 9 pp.
27. Wikle, C. K., R. F. Milliff, and W. G. Large, 1999: Surface wind variability on spatial scales from 1 to 1000 km observed during TOGA COARE. J. Atmos. Sci., 56, 2222-2231.