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Zheng, Y., M. M. Ali, M. A. Bourassa (2015), Contribution of Monthly and Regional Rainfall to the Strength of Indian Summer Monsoon. Mon. Wea. Rev., 144, 3037–3055.
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&Aacute, J.&eacute ngel F. Adames, r&ocirc and R.C.F. me Patoux (2014), The Contribution of Extratropical Waves to the MJO Wind Field. J. Atmos. Sci., 71(1), 155–176.
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Alsweiss, S., R. Hanna, P. Laupattarakasem, W. Jones, C. Hennon and R. Chen (2014), A Non-MLE Approach for Satellite Scatterometer Wind Vector Retrievals in Tropical Cyclones. Remote Sensing, 6(5), 4133–4148, doi:10.3390/rs6054133.
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Bradley, J.P. and D.G. Long (2014), Estimation of the OSCAT Spatial Response Function Using Island Targets. IEEE Trans. Geosci. Remote Sensing, 52(4), 1924–1934, doi:10.1109/TGRS.2013.2256429.
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Das, N.N., A. Colliander, S.K. Chan, E.G. Njoku and L. Li (2014), Intercomparisons of Brightness Temperature Observations Over Land From AMSR-E and WindSat. IEEE Trans. Geosci. Remote Sensing, 52(1), 452–464, doi:10.1109/TGRS.2013.2241445.
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Dobricic, S., C.K. Wikle, R.F. Milliff, N. Pinardi and L.M. Berliner (2014), Assimilation of oceanographic observations with estimates of vertical background-error covariances by a Bayesian hierarchical model. Q.J.R. Meteorol. Soc., doi:10.1002/qj.2348.
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Fore, A.G., Stiles, B.W., Chau, A.H., Williams, B.A., Dunbar, R. S., Rodr&iacute and guez E. (2014), Point-wise Wind Retrieval and Ambiguity Removal Improvements for the QuikSCAT Climatological Data Set. IEEE Trans. Geoscience and Remote Sensing, 52(1), 51–59, doi:10.1109/TGRS.2012.2235843.
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Gille, S.T. and S.G.L.S. (2014), When land breezes collide: Converging diurnal winds over small bodies of water. Q. J. Roy. Meteor. Soc., 140, 2573–2581.
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Gille, S.T., M. M. Carranza, R. Cambra, and R. Morrow (2014), Wind-induced upwelling in the Kerguelen Plateau Region. Biogeosciences, 11, 6389–6400.
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Grodsky, S.A., J.A. Carton and A. Bentamy (2014), Salty anomalies forced by Tehuantepec and Papagayo gap winds: Aquarius observations. Remote Sensing Letters, 5(6), 568–574, doi:10.1080/2150704X.2014.935522.
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Grodsky, S.A., G. Reverdin, J.A. Carton and V.J. Coles (2014), Year-to-year salinity changes in the Amazon plume: Contrasting 2011 and 2012 Aquarius/SACD and SMOS satellite data. Remote Sensing of Environment, 140, 14–22, doi:10.1016/j.rse.2013.08.033.
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Han, W. and 6 others (2014), Indian Ocean decadal variability: a review. Bull. Amer. Meteorol. Soc., (accepted).
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Holbach, H.M. and M.A. Bourassa (2014), The Effects of Gap-Wind-Induced Vorticity, the Monsoon Trough, and the ITCZ on East Pacific Tropical Cyclogenesis. Mon. Wea. Rev., 142(3), 1312–1325, doi:10.1175/MWR-D-13-00218.1.
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Hullinger, W.J. and D.G. Long (2014), Mitigation of Sea Ice Contamination in QuikSCAT Wind Retrieval. IEEE Trans. Geosci. Remote Sensing, 52(4), 2149–2158, doi:10.1109/TGRS.2013.2258400.
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Li, J.-L.F., W.-L. Lee, D.E. Waliser, J. David Neelin, J.P. Stachnik and T. Lee (2014), Cloud-Precipitation-Radiation-Dynamics Interaction in Global Climate Models: A Snow and Radiation Interaction Sensitivity Experiment. J. Geophys. Res. Atmos., doi:10.1002/2013JD021038, (accepted).
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Liu, J.-W., S.-P. Xie, J. Norris, and S. Zhang (2014), Low-level cloud response to the Gulf Stream front in winter using CALIPSO. Journal of Climate, 27, 4421–4432.
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Meissner, T., F. J. Wentz, and L. Ricciardulli (2014), The Emission and Scattering of L-Band Microwave Radiation From Rough Ocean Surfaces and Wind Speed Measurements From the Aquarius Sensor. Journal of Geophysical Research: Oceans, 119, 6499–6522.
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Meissner, T., F. Wentz and L. Ricciardulli (2014), A geophysical model for the emission and scattering of L-band microwave radiation from rough ocean surfaces. Journal of Geophysical Research – Oceans, (submitted).
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Mortin, J. and 7 others (2014), Extending the QuikSCAT record of seasonal melt-freeze transitions over Arctic sea ice using ASCAT. Remote Sensing of Environment, 141, 214–230, doi:10.1016/j.rse.2013.11.004.
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Nedbor-Gross, R., D. S. Dukhovskoy, M. A. Bourassa, S. L. Morey, E. P. Chassignet (2014), Investigation of the relationship between the Yucatan Channel transport and the Loop Current area in a multi-decadal numerical simulation. MARINE TECHNOLOGY SOCIETY JOURNAL, 45, 15–26.
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Purna Chand, C., M.V. Rao, I.V. Ramana, M.M. Ali, J. Patoux and M.A. Bourassa (2014), Estimation of sea level pressure fields during Cyclone Nilam from Oceansat-2 scatterometer winds: Presssure fields from OSCAT. Atmos. Sci. Lett., 15(1), 65–71, doi:10.1002/asl2.473.
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Remund, Q.P. and D.G. Long (2014), A Decade of QuikSCAT Scatterometer Sea Ice Extent Data. IEEE Trans. Geosci. Remote Sensing, 52(7), 4281–4290, doi:10.1109/TGRS.2013.2281056.
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Stiles, B.W. and 6 others (2014), Optimized Tropical Cyclone Winds From QuikSCAT: A Neural Network Approach. IEEE Trans. Geosci. Remote Sensing, 1–17, doi:10.1109/TGRS.2014.2312333.
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Vose, R.S. and 25 others (2014), Monitoring and Understanding Changes in Extremes: Extratropical Storms, Winds, and Waves. Bull. Amer. Meteor. Soc., 95(3), 377–386, doi:10.1175/BAMS-D-12-00162.1.
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Weihs, R.R. and M.A. Bourassa (2014), Modeled diurnally varying sea surface temperatures and their influence on surface heat fluxes. J. Geophys. Res. Oceans, 119(7), 4101–4123, doi:10.1002/2013JC009489.
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