|Home||[1–10] << 11 12 13 14 15 16 17 18 19 20 >> [21–30]|
|Bourassa, M. A., Legler, D. M., & O'Brien, J. J. (1997). The use of significant wave height to improve the accuracy of wind derived stress and wave characteristics. 12th Symposium on Boundary Layers and Turbulence, , 291–292.|
|Bourassa, M. A., Legler, D. M., O'Brien, J. J., Stricherz, J. N., & Whalley, J. (1998). High temporal and spatial resolution animations of winds observed with the NSCAT scatterometer. In 14th International Conference on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology at 78th AMS Annual Meeting (pp. 556–559).|
|Bourassa, M. A., Smith, S. R., & O'Brien, J. J. (2002). Assimilation of scatterometer and in situ winds for regularly gridded products. In 6th Symposium on Integrated Observing Systems (pp. 161–165).|
Bourassa, M. A., and P.J. Hughes. (2018). Surface Heat Fluxes and Wind Remote Sensing. In and J. Verron J. Tintoré A. Pascual E. P. Chassignet (Ed.), (pp. 245–270). Tallahassee, FL: GODAE OceanView.
Abstract: The exchange of heat and momentum through the air-sea surface are critical aspects of ocean forcing and ocean modeling. Over most of the global oceans, there are few in situ observations that can be used to estimate these fluxes. This chapter provides background on the calculation and application of air-sea fluxes, as well as the use of remote sensing to calculate these fluxes. Wind variability makes a large contribution to variability in surface fluxes, and the remote sensing of winds is relatively mature compared to the air sea differences in temperature and humidity, which are the other key variables. Therefore, the remote sensing of wind is presented in greater detail. These details enable the reader to understand how the improper use of satellite winds can result in regional and seasonal biases in fluxes, and how to calculate fluxes in a manner that removes these biases. Examples are given of high-resolution applications of fluxes, which are used to indicate the strengths and weakness of satellite-based calculations of ocean surface fluxes.
Keywords: HEAT; OCEAN SURFACE; WINDS; SCATTEROMETERS; FLUXE; STRESS; RESPONSES
|Bourassa, M. A., D. Dukhovskoy, S. L. Morey, and J, J. O'Brien. (2007). Innovations in Modeling Gulf of Mexico Surface Turbulent Fluxes. Flux News, (3), 9.|
|Bourassa, M. A., H. Bonekamp, P. Chang, D. Chelton, J. Courtney, R. Edson, J. Figa, Y. He, H. Hersbach, K. Hilburn, Z. Jelenak, T. Lee, W. T. Liu, D. Long, K. Kelly, R. Knabb, E. Lindstorm, W. Perrie, M. Portabella, M. Powell, E. Rodriguez, D. Smith, A. Stoffelen, V. Swail, F. Wentz. (2010). Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling. In D. D.E. and Stammer Harrison J. Hall (Ed.), Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society (Vol. 2).|
|Bourassa, M. A., R. N. Maue, S. R. Smith, P. J. Hughes, and J. Rolph. (2007). Global Winds: State of the Climate in 2006. Bulletin of the American Meteorological Society, 88(6), 135.|
|Bourassa, M. A., S. T. Gille, and C. A. Clayson. (2010). Surface Fluxes: Challenges for High Latitudes: Workshop report from the U.S. CLIVAR High Latitudes Surface Flux Working Group. U.S. CLIVAR Variations, 8(1), 7,14.|
|Bove, M. C. (1996). A Comparison of GTS and CMAN Surface Meteorological Data Sets in the TOGA-COARE Region. Tallahassee, FL: Florida State University.|
|Bove, M. C. (2000). PDO Modification of U.S ENSO climate impacts. Master's thesis, Florida State University, Tallahassee, FL.|