Goodrick, S. L., Bourassa, M. A., & Legler, D. M. (1998). Impact of Correcting Marine Wind Observations on Air-Sea Flux Fields in the North Atlantic. In A. Staniforth (Ed.), CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling, World Meteorological Organization (2.pp. 7–2.8).
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Guimond, S. R., Bourassa, M. A., & Reasor, P. D. (2011). A Latent Heat Retrieval and Its Effects on the Intensity and Structure Change of Hurricane Guillermo (1997). Part I: The Algorithm and Observations. J. Atmos. Sci., 68(8), 1549–1567.
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Hanley, D. E., Bourassa, M. A., O'Brien, J. J., Smith, S. R., & Spade, E. R. (2001). The many faces of ENSO (A quantitative evaluation of ENSO indices). COAPS Technical Report 01-1, 31 pp., Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, 32306-2840.
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Hanley, D. E., Bourassa, M. A., O'Brien, J. J., Smith, S. R., & Spade, E. R. (2003). A Quantitative Evaluation of ENSO Indices. J. Climate, 16(8), 1249–1258.
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Hilburn, K. A., Bourassa, M. A., & O'Brien, J. J. (2002). Development of scatterometer-derived research-quality surface pressure fields for the Southern Ocean. Orlando, FL: AMS.
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Hite, M. M., Bourassa, M. A., & O'Brien, J. J. (2006). Vorticity-Based Detection Of Tropical Cyclones. In 14th Conference on Interactions of the Sea and Atmosphere, American Meteorological Society, Atlanta, Ga, USA (cdrom).
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Hite, M., Bourassa, M. A., & O'Brien, J. J. (2006). Objective detection of Atlantic tropical disturbances. In 14th Conference on Interactions of the Sea and Atmosphere, AMS, Monterey, CA, USA (cdrom).
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Hoffman, R. N., Privé, N., & Bourassa, M. (2017). Comments on “Reanalyses and Observations: What's the Difference?”. Bull. Amer. Meteor. Soc., 98(11), 2455–2459.
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Hoffman, R. N., Privé, N., & Bourassa, M. (2017). Comments on “Reanalyses and Observations: What's the Difference?”. Bull. Amer. Meteor. Soc., 98(11), 2455–2459.
Abstract: Are there important differences between reanalysis data and familiar observations and measurements? If so, what are they? This essay evaluates four possible answers that relate to: the role of inference, reliance on forecasts, the need to solve an ill-posed inverse problem, and understanding of errors and uncertainties. The last of these is argued to be most significant. The importance of characterizing uncertainties associated with results—whether those results are observations or measurements, analyses or reanalyses, or forecasts—is emphasized.
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Holbach, H. M., & Bourassa, M. A. (2017). Platform and Across-Swath Comparison of Vorticity Spectra From QuikSCAT, ASCAT-A, OSCAT, and ASCAT-B Scatterometers. IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 10(5), 2205–2213.
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