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|Krishnamurti, T. N., Kumar, V., Simon, A., Thomas, A., Bhardwaj, A., Das, S., et al. (2017). March of buoyancy elements during extreme rainfall over India. Clim Dyn, 48(5-6), 1931–1951.|
Selman, C., & Misra, V. (2017). The impact of an extreme case of irrigation on the southeastern United States climate. Clim Dyn, 48(3-4), 1309–1327.
Keywords: Regional climate modeling; Irrigation; Diurnal climatology; Diurnal; Southeast United States; Southeast US; Regional model; Agriculture; Anthropogenic influences; Anthropogenic; Climate; Climate change; Regional; Impact; Southeast; Model; Parametrization
|Chassignet, E. P., & Xu, X. (2017). Impact of Horizontal Resolution (1/12° to 1/50°) on Gulf Stream Separation, Penetration, and Variability. J. Phys. Oceanogr., 47(8), 1999–2021.|
|Trossman, D. S., Arbic, B. K., Straub, D. N., Richman, J. G., Chassignet, E. P., Wallcraft, A. J., et al. (2017). The Role of Rough Topography in Mediating Impacts of Bottom Drag in Eddying Ocean Circulation Models. J. Phys. Oceanogr., 47(8), 1941–1959.|
|Misra, V., Bhardwaj, A., & Noska, R. (2017). Understanding the Variations of the Length and the Seasonal Rainfall Anomalies of the Indian Summer Monsoon. J. Climate, 30(5), 1753–1763.|
|De Souza-Machado, S., Tangborn, A., Sura, P., Hepplewhite, C., & Strow, L. L. (2017). Non-Gaussian Analysis of Observations from the Atmospheric Infrared Sounder Compared with ERA and MERRA Reanalyses. J. Appl. Meteor. Climatol., 56(5), 1463–1481.|
|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.
|MacKinnon, J. A., Alford, M. H., Ansong, J. K., Arbic, B. K., Barna, A., Briegleb, B. P., et al. (2017). Climate Process Team on Internal-Wave Driven Ocean Mixing. Bull. Amer. Meteor. Soc., 98(11), 2429–2454.|
|Nyadjro, E. S., Jensen, T. G., Richman, J. G., & Shriver, J. F. (2017). On the Relationship Between Wind, SST, and the Thermocline in the Seychelles-Chagos Thermocline Ridge. IEEE Geosci. Remote Sensing Lett., 14(12), 2315–2319.|