Ardhuin, F., Chapron, B., Maes, C., Romeiser, R., Gommenginger, C., Cravatte, S., et al. (2019). Satellite Doppler observations for the motions of the oceans. Bull. Amer. Meteor. Soc., .
Abstract: Satellite remote sensing has revolutionized oceanography, starting from sea surface temperature, ocean color, sea level, winds, waves, and the recent addition of sea surface salinity, providing a global view of upper ocean processes. The possible addition of a direct measurement of surface velocities related to currents, winds and waves opens great opportunities for research and applications.
|
Bourassa, M. A., Gille, S. T., Bitz, C., Carlson, D., Cerovecki, I., Clayson, C. A., et al. (2013). High-Latitude Ocean and Sea Ice Surface Fluxes: Challenges for Climate Research. Bull. Amer. Meteor. Soc., 94(3), 403–423.
|
Bourassa, M. A., Rodriguez, E., & Gaston, R. (2010). NASA's Ocean Vector Winds Science Team Workshops. Bull. Amer. Meteor. Soc., 91(7), 925–928.
|
Bove, M. C., O'Brien, J. J., Eisner, J. B., Landsea, C. W., & Niu, X. (1998). Effect of El Niño on U.S. Landfalling Hurricanes, Revisited. Bull. Amer. Meteor. Soc., 79(11), 2477–2482.
|
Bove, M. C., Zierden, D. F., & O'Brien, J. J. (1998). Are Gulf Landfalling Hurricanes Getting Stronger? Bull. Amer. Meteor. Soc., 79(7), 1327–1328.
|
Curry, J. A., Bentamy, A., Bourassa, M. A., Bourras, D., Bradley, E. F., Brunke, M., et al. (2004). Seaflux. Bull. Amer. Meteor. Soc., 85(3), 409–424.
|
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.
|
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.
|
Juang, H. - M. H., Chen, S. - C., Hong, S., Kanamaru, H., Reichler, T., Enomoto, T., et al. (2014). Regional Spectral Model Workshop in Memory of John Roads and Masao Kanamitsu. Bull. Amer. Meteor. Soc., 95(3), Es61–Es65.
|
Juang, H. - M. H., Chen, S. - C., Hong, S., Kanamaru, H., Reichler, T., Enomoto, T., et al. (2014). Regional Spectral Model Workshop in Memory of John Roads and Masao Kanamitsu. Bull. Amer. Meteor. Soc., 95(3), Es61–Es65.
|