Dukhovskoy, D. S., Morey, S. L., & O'Brien, J. J. (2005). Topographic Rossby waves in a z-level ocean model. Eos Trans. AGU , 86 (18), Jt. Assem. Suppl., Abstract OS22A–06.
Morey, S. L., O'Brien, J. J., & Zavala-Hidalgo, J. (2005). Redistribution of riverine water along the continental shelves of the northern and western Gulf of Mexico. Eos Trans. AGU , 86 (18), Jt. Assem. Suppl., Abstract OS22A–06.
Smith, S. R. (2006). Collaboration between Shipboard Oceanic and Atmospheric Data Programs. EOS , 87 , 463,466.
Smith, S. R., Lopez, N., & Bourassa, M. A. (2016). SAMOS air-sea fluxes: 2005-2014. Geosci. Data J. , 3 (1), 9–19.
Smith, S. R., Briggs, K., Bourassa, M. A., Elya, J., & Paver, C. R. (2018). Shipboard automated meteorological and oceanographic system data archive: 2005-2017. Geosci Data J , 5 (2), 73–86.
Abstract: Since 2005, the Shipboard Automated Meteorological and Oceanographic System (SAMOS) initiative has been collecting, quality-evaluating, distributing, and archiving underway navigational, meteorological, and oceanographic observations from research vessels. Herein we describe the procedures for acquiring ship and instrumental metadata and the one-minute interval observations from 44 research vessels that have contributed to the SAMOS initiative from 2005 to 2017. The overall data processing workflow and quality control procedures are documented along with data file formats and version control procedures. The SAMOS data are disseminated to the user community via web, FTP, and Thematic Real-time Environmental Distributed Data Services from both the Marine Data Center at the Florida State University and the National Centers for Environmental Information, which serves as the long-term archive for the SAMOS initiative. They have been used to address topics ranging from air-sea interaction studies, the calibration, evaluation, and development of satellite observational products, the evaluation of numerical atmospheric and ocean models, and the development of new tools and techniques for geospatial data analysis in the informatics community. Maps provide users the geospatial coverage within the SAMOS dataset, with a focus on the Essential Climate/Ocean Variables, and recommendations are made regarding which versions of the dataset should be accessed by different user communities.
Smith, S. R. (2004). Focusing on improving automated meteorological observations from ships. Eos Trans. AGU , 85 (34), 319.
Gould, W. J., & Smith, S. R. (2006). Research vessels: Underutilized assets for climate observations. Eos Trans. AGU , 87 (22), 214.
Gille, S., Bourassa, M. A., & Clayson, C. A. (2010). Improving Observations of High-Latitude Fluxes Between Atmosphere, Ocean, and Ice: Surface Fluxes: Challenges at High Latitudes; Boulder, Colorado, 17-19 March 2010. Eos Trans. AGU , 91 (35), 307.
Hanson, H. P., Bozek, A., & Duerr, A. E. S. (2011). The Florida Current: A clean but challenging energy resource. Eos Trans. AGU , 92 (4), 29.
Smith, S. R., Bourassa, M. A., & Long, M. (2011). Pirate attacks affect Indian Ocean climate research. Eos Trans. AGU , 92 (27), 225.