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A note on reviving the Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) dataset

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Abstract

Accurate sea surface flux measurements are crucial for understanding the global water and energy cycles. The oceanic evaporation, which is a major component of the global oceanic fresh water flux, is useful for predicting oceanic circulation and transport. The global Goddard Satellite-based Surface Turbulent Fluxes Version-2 (GSSTF2; July 1987–December 2000) dateset that was officially released in 2001 has been widely used by scientific community for global energy and water cycle research, and regional and short period data analyses. We have recently been funded by NASA to resume processing the GSSTF dataset with an objective of continually producing a uniform dataset of sea surface turbulent fluxes, derived from remote sensing data. The dataset is to be reprocessed and brought up-to-date (GSSTF2b) using improved input datasets such as a recently upgraded NCEP/DOE sea surface temperature reanalysis, and an upgraded surface wind and microwave brightness temperature V6 dataset (Version 6) from the Special Sensor Microwave Imager (SSM/I) produced by Remote Sensing Systems (RSS). A second new product (GSSTF3) is further proposed with a finer temporal (12-h) and spatial (0.25° × 0.25°) resolution. GSSTF2b (July 1987–December 2008) and GSSTF3 (July 1999–December 2009) will be released for the research community to use by late 2009 and early 2011, respectively.

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References

  • Andreas, E. L., 1992: Sea spray and the turbulent air-sea heat fluxes. J. Geophys. Res., 97, 11429–11441.

    Article  Google Scholar 

  • Andreas, E. L., J. B. Edson, E. C. Monahan, M. P. Rouault, and S. D. Smith, 1995: The spray contribution to net evaporation from the sea: A review of recent progress. Bound.-Layer Meteor., 72, 3–52.

    Article  Google Scholar 

  • Atlas, R., R. N. Hoffman, S. C. Bloom, J. C. Jusem, and J. Ardizzone, 1996: A multiyear global surface wind velocity dataset using SSM/I wind observations. Bull. Amer. Meteor. Soc., 77, 869–882.

    Article  Google Scholar 

  • Black, P. G., E. A. D’Asaro, W. M. Drennan, J. R. French, P. P. Niiler, T. B. Sanford, E. J. Terrill, E. J. Walsh, and J. A. Zhang, 2007: Air-sea exchanges in hurricanes. Bull. Amer. Meteor. Soc., 88, 357–374.

    Article  Google Scholar 

  • Brunke, M. A., C. W. Fairall, X. Zeng, L. Eymard, and J. A. Curry, 2003: Which bulk aerodynamic algorithms are least problematic in computing ocean surface turbulent fluxes? J. Climate, 16, 619–635.

    Article  Google Scholar 

  • Bourras, D., 2005: Comparison of five satellite derived latent heat flux products to moored buoy data. N.A.I. (Notes of IPSL Instrumental Activities), 15pp.

  • Bourras, D., L. Eymard, and W. T. Liu, 2002: A neural network to estimate the latent heat flux over oceans from satellite observations. Int. J. Remote Sens., 23, 2405–2423.

    Article  Google Scholar 

  • Chiu, L. S., and Y. Xing, 2004: Modes of interannual variability of oceanic evaporation observed from GSSTF2, Gayana: International Journal of Biodiversity, Oceanology and Conservation, 68(2), 115–120.

    Google Scholar 

  • Chou, S.-H., 1993: A comparison of airborne eddy correlation and bulk aerodynamic methods for ocean-air turbulent fluxes during cold-air outbreaks. Bound.-Layer Meteor., 64, 75–100.

    Article  Google Scholar 

  • Chou, S.-H., R. M. Atlas, C-L. Shie. and J. Ardizzone, 1995: Estimates of surface humidity and latent heat fluxes over oceans from SSM/I data. Mon. Wea. Rev., 123, 2405–2425.

    Article  Google Scholar 

  • Chou, S.-H., C.-L. Shie, R. M. Atlas, and J. Ardizzone, 1997: Air-sea fluxes retrieved from special sensor microwave imager data. J. Geophys. Res., 102, 12705–12726.

    Article  Google Scholar 

  • Chou, S.-H., C.-L. Shie, R. Atlas, and J. Ardizzone, 2000: The Goddard Satellite-Based Surface Turbulent Fluxes Dataset-Version 1 (GSSTF 1.0) [global (grid of 2° × 2.5°) daily air-sea surface fluxes from July 1987 to December 1994]. [Available online at http://disc.sci.gsfc.nasa.gov/precipitation/gsstf1.0.shtml.]

  • Chou, S.-H., E. Nelkin, J. Ardizzone, R. Atlas, and C.-L. Shie, 2001: The Goddard Satellite-Based Surface Turbulent Fluxes Dataset-Version 2 (GSSTF 2.0) [global (grid of 1° × 1°) daily air-sea surface fluxes from July 1987 to December 2000]. [Available online at http://disc.gsfc.nasa.gov/precipitation/gsstf2.0.shtml.]

  • Chou, S.-H., E. Nelkin, J. Ardizzone, R. M. Atlas, and C.-L. Shie, 2003: Surface turbulent heat and momentum fluxes over global oceans based on the Goddard satellite retrieval, version 2 (GSSTF2). J. Climate, 16, 3256–3273.

    Article  Google Scholar 

  • Chou, S.-H., E. Nelkin, J. Ardizzone, and R. Atlas, 2004: A comparison of latent heat fluxes over global oceans for four flux products, J. Climate, 17, 3973–3989.

    Article  Google Scholar 

  • Curry, J. A., and Coauthors, 1999: High-resolution satellite-derived dataset of the surface fluxes of heat, freshwater, and momentum for the TOGA COARE IOP. Bull. Amer. Meteor. Soc., 80, 2059–2080.

    Article  Google Scholar 

  • Curry, J. A. and Coauthors, 2004: SEAFLUX. Bull. Amer. Meteor. Soc., 85(3), 424.

    Article  Google Scholar 

  • da Silva, A., C. C. Young, and S. Levitus, 1994: Algorithms and Procedures. Vol. 1, Atlas of Surface Marine Data 1994, NOAA Atlas NESDIS 6, 83pp.

  • Donelan, M. A., B. K. Haus, N. Reul, W. J. Plant, M. Stiassnie, H. C. Graber, O. B. Brown, and E. S. Saltzman, 2004: On the limiting aerodynamic roughness of the ocean in very strong winds. Geophys. Res. Lett., 31, L18306.

    Article  Google Scholar 

  • Emanuel, K. A., 1999: Thermodynamic control of hurricane intensity. Nature, 401, 665–669.

    Article  Google Scholar 

  • Fairall, C. W., E. F. Bradley, D. P. Rogers, J. B. Edson, and G. S. Young, 1996: Bulk parameterization of air-sea fluxes for Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment. J. Geophys. Res., 101(C2), 3747–3764.

    Article  Google Scholar 

  • Fairall, C. W., E. F. Bradley, J. E. Hare, A. A. Grachev, and J. B. Edson, 2003: Bulk parameterization of airsea fluxes: Updates and verification for the COARE algorithm. J. Climate, 16, 571–591.

    Article  Google Scholar 

  • Jones, C., P. Peterson, and C. Gautier, 1999: A new method for deriving ocean surface specific humidity and air temperature: An artificial neural network approach. J. Appl. Meteor., 38, 1229–1246.

    Article  Google Scholar 

  • Josey, S. A., E. C. Kent, and P. K. Taylor, 1999: New insights into the ocean heat budget closure problem from analysis of the SOC air-sea flux climatology. J. Climate, 12, 2856–2880.

    Article  Google Scholar 

  • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437–471.

    Article  Google Scholar 

  • Kanamitsu, M., W. Ebisuzaki, J Woollen, S.-K. Yang, J. J. Hnilo, M. Fiorino, and G. L. Potter, 2002: NCEPDOE AMIP-II Reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 1631–1643.

    Article  Google Scholar 

  • Kubota, M., K. Ichikawa, N. Iwasaka, S. Kizu, M. Konda, and K. Kutsuwada, 2002: Japanese Ocean Flux Data Sets with Use of Remote Sensing Observations (JOFURO). J. Oceanogr., 58, 213–215.

    Article  Google Scholar 

  • Lin, I-I, W. T. Liu, C.-C. Wu, J. C. H. Chiang, and C.-H. Sui, 2003a: Satellite observations of modulation of surface winds by typhoon-induced upper ocean cooling. Geophys. Res. Lett., 30(3), 1131, doi: 10.1029/2002GL015674

    Article  Google Scholar 

  • Lin, I-I, and Coauthors, 2003b: New evidence for enhanced ocean primary production triggered by tropical cyclone. Geophys. Res. Lett., 30(13), 1718, doi: 10.1029/2003GL017141.

    Article  Google Scholar 

  • Liu, W. T., K. B. Katsaros, and J. A. Businger, 1979: Bulk parameterization of air-sea exchanges of heat and water vapor including the molecular constraints at the interface. J. Atmos. Sci., 36, 1722–1735.

    Article  Google Scholar 

  • Liu, W. T., X. Xie, P. S. Polito, S. P. Xie, and H. Hashizume, 2000: Atmospheric manifestation of tropical instability wave observed by QuikSCAT and Tropical Rainfall Measuring Mission. Geophys. Res. Lett., 27(16), 2545–2548.

    Article  Google Scholar 

  • Negri, A. J., T. L. Bell, and L. Xu, 2002: Sampling of diurnal cycle of precipitation using TRMM. J. Atmos. Oceanic Technol., 19, 1333–1344.

    Article  Google Scholar 

  • Powell, M. D. P. J. Vickery, and T. A. Reinhold, 2003: Reduced drag coefficient for high wind speeds in tropical cyclones. Nature, 422, 279–283.

    Article  Google Scholar 

  • Renfrew, I. A., G. W. K. Moore, P. S. Guest, and K. Bumke, 2002: A comparison of surface layer and surface turbulent flux observations over the Labrador Sea with ECMWF analyses and NCEP reanalyses. J. Phys. Oceanogr., 32, 383–400.

    Article  Google Scholar 

  • Reynolds, R. W., and T. S. Smith, 1994: Improved global sea surface temperature analyses. J. Climate, 7, 929–948.

    Article  Google Scholar 

  • Reynolds, W. R., N. A. Rayner, T. M. Smoth, D. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 1609–1625.

    Article  Google Scholar 

  • Schulz, J., J. Meywerk, S. Ewald, and P. Schluessel, 1997: Evaluation of satellite-derived latent heat fluxes. J. Climate, 10, 2782–2795.

    Article  Google Scholar 

  • Wang, W., and M. J. McPhaden, 2001: What is the mean seasonal cycle of surface heat flux in the equatorial Pacific? J. Geophys. Res., 106, 837–857.

    Article  Google Scholar 

  • Wentz, F. J., 1997: A well calibrated ocean algorithm for SSM/I. J. Geophys. Res., 102, 8703–8718.

    Article  Google Scholar 

  • Wentz, F. J., C. Gentemann, D. Smith, and D. Chelton, 2000: Satellite measurements of sea surface temperature through clouds. Science, 288, 847–850.

    Article  Google Scholar 

  • Woodruff, S. D., S. J. Lubker, K. Wolter, S. J. Worley, and J. D. Elm, 1993: Comprehensive Ocean-Atmosphere Data Set (COADS) release la: 1980–92. Earth System Monitor, 4, 4–8.

    Google Scholar 

  • Xie, P., J. E. Janowiak, M. Chen, C.-L. Shie, and L. Chiu, 2007: Seasonal and interannual variations of fresh water flux over global oceans in the NCEP CDAS, CDAS2, GDAS, GFS, and CFS. Assessing and Exploiting Re-analysis Data Sets, IUGG 2007, 2–13 July 2007, Perugia, Italy.

  • Xing, Y. K., 2006: Recent changes in oceanic latent heat flux from remote sensing. Ph. D. dissertation, School of Computational Science, George Mason University, Fairfax VA 22030, 119pp.

    Google Scholar 

  • Zeng, X., M. Zhao, and R. E. Dickinson, 1998: Intercomparison of bulk aerodynamic algorithms for the computation of sea surface fluxes using TOGA COARE and TAO data. J. Climate, 11, 2628–2644.

    Article  Google Scholar 

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Shie, CL., Chiu, L.S., Adler, R. et al. A note on reviving the Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) dataset. Adv. Atmos. Sci. 26, 1071–1080 (2009). https://doi.org/10.1007/s00376-009-8138-z

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  • DOI: https://doi.org/10.1007/s00376-009-8138-z

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