SAMOS Archive at NCEI
Smith, S. R., J. J. Rolph, K. Briggs, and M. A. Bourassa, 2009: Quality-Controlled Underway Oceanographic and Meteorological Data from the Center for Ocean-Atmospheric Predictions Center (COAPS) - Shipboard Automated Meteorological and Oceanographic System (SAMOS). NOAA National Centers for Environmental Information. Dataset. doi:10.7289/V5QJ7F8R [access date]. [Access NCEI GeoPortal]

SAMOS Data Products
Smith, S. R., K. Briggs, M. A. Bourassa, J. Elya, and C. R. Paver, 2018: Shipboard automated meteorological and oceanographic system data archive:2005-2017. Geosci Data J., 6:354. https://doi.org/10.1002/gdj3.59

Smith, S. R., N. Lopez, and M. A. Bourassa, 2016: SAMOS air-sea fluxes: 2005-2014. Geoscience Data Journal. https://doi.org/10.1002/gdj3.34

Smith, S. R., and J. Elya: 2015. Procedure for placing hourly super-observations from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative into ICOADS. COAPS, Tallahassee, FL, USA, 34 pp. Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA and online at http://icoads.noaa.gov/e-doc/other/transpec/samos/SAMOS_RVtoIMMAprocedure_v2p1.pdf.

Freeman, E., S. D. Woodruff, S. J. Worley, S. J. Lubker, E. C. Kent, W. E. Angel, D. I . Berry, P. Brohan, R. Eastman, L. Gates, W. Gloeden, Z. Ji, J. Lawrimore, N. A. Rayner, G. Rosenhagen, and S. R. Smith, 2016: ICOADS Release 3.0: a major update to the historical marine climate record. Int. J. Climatol. https://doi.org/10.1002/joc.4775

SAMOS Reports
Briggs, K. and S. R. Smith, 2024: 2023 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 201 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2741, USA]. [PDF]

Briggs, K. and S. R. Smith, 2023: 2022 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 178 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2741, USA]. [PDF]

Briggs, K. and S. R. Smith, 2022: 2021 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 183 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2741, USA]. [PDF]

Briggs, K. and S. R. Smith, 2021: 2020 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 176 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2741, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2020: 2019 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 169 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2741, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2019: 2018 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 174 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2741, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2018: 2017 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 167 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2017: 2016 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 180 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2016: 2015 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 222 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2015: 2014 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 192 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2014: 2013 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 178 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2013: 2012 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 172 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2012: 2011 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 140 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2011: 2010 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 140 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Briggs, K., S. R. Smith, J. J. Rolph, 2010: 2009 SAMOS Data Quality Report. COAPS, Tallahassee, FL, USA, 126 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA]. [PDF]

Smith, S. R., R. Keeley, and T. Delcroix, 2006: Report of the 1st Joint GOSUD/SAMOS Workshop. UCAR Joint Office for Science Support, Boulder, CO, USA, 63 pp. [Available from Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA].

Smith, S. R., 2004: Focusing on improving automated meteorological observations from ships. EOS, Trans Amer. Geophys. Union, 85, 319.

Smith, S. R., 2004: Report from the 2nd Workshop on High-Resolution Marine Meteorology, COAPS Report 04-1, Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA, 31pp.

Smith, S. R., R. M. Reynolds, and J. J. O'Brien, 2003: Report and Recommendations from the Workshop on High-Resolution Marine Meteorology, COAPS Report 03-1, Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, 32306-2840, USA, 38pp.

Observational Practices
Han, H.-G., Lee, C., Kim, T.-H., Han, J.-R., and Choi, H.-W., 2021: Establishment of A WebGIS-based Information System for Continuous Observation during Ocean Research Vessel Operation. Journal of the Korean Association of Geographic Information Studies, 24(1),40-53. https://doi.org/10.11108/KAGIS.2021.24.1.040

Lara-Lopez, A., I. Hodgson-Johnston, M. Cahill, S. Mancini, P. Blain, and T. Moltmann, 2019: From research to end-users, tracing the path of ocean observations in Australia. Marine and Freshwater Research 70, 925-935. https://doi.org/10.1071/MF18066

Mesick, S., Z. Wang, A. Mishonov, T. Boyer and H. -m. Zhang, 2020: Incorporating Discrete Unmanned Maritime System Data Collections Into NCEI Synthesized Data Products, Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020, pp. 1-8, https://doi.org/10.1109/IEEECONF38699.2020.9389421

Peng, G., Milan, A., Ritchey, N.A., Partee II, R.P., Zinn, S., McQuinn, E., Casey, K.S., Lemieux III, P., Ionin, R., Jones, P., Jakositz, A. and Collins, D., 2019: Practical Application of a Data Stewardship Maturity Matrix for the NOAA OneStop Project. Data Science Journal, 18(1),p.41. DOI:http://doi.org/10.5334/dsj-2019-041

Rosa, T. L., A. M. Piecho-Santos, R. Vettor, and C. Guedes Soares, 2021: Review and Prospects for Autonomous Observing Systems in Vessels of Opportunity, Journal of Marine Science and Engineering,9(4):366. https://doi.org/10.3390/jmse9040366

Smith, S. R., G. Alory, A. Andersson, W. Asher, A. Baker, D. I. Berry, K. Drushka, D. Figurskey, E. Freeman, P. Holthus, T. Jickells, H. Kleta, E. C. Kent, N. Kolodziejczyk, M. Kramp, Z. Loh, P. Poli, U. Schuster, E. Steventon, S. Swart, O. Tarasova, L. Petit de la Villeon, and N. Vinogradova-Shiffer, 2019: Ship-Based contributions to global ocean, weather, anclimate observing systems. Frontiers in Marine Science, 6:434. https://doi.org/10.3389/fmars.2019.00434

Smith, S.R., M.A. Bourassa, and R.J. Sharp, 1999: Establishing more truth in true winds. J. Atmos. Oceanic Technol., 16, 939-952.

SAMOS Data Application
AbdulAzeem, Yousry M., Ali I. ElDesouky, and Hesham A. Ali. "A framework for ranking uncertain distributed database." Data & Knowledge Engineering 92 (2014): 1-19. [Link] DOI: 10.1016/j.datak.2014.05.001

AbdulAzeem, Yousry M., et al. "Ranking distributed database in tuple-level uncertainty." Soft Computing (2014): 1-16. [Link] DOI: 10.1007/s00500-014-1306-9

Alise J. P., M. Bomhoff, K.Blumberg, K. Youens-Clark, N. M. Herz, E. M. Wood-Charlson, E.F. Delong, B. L. Hurwitz, 2021: Planet Microbe: a platform for marine microbiology to discover and analyze interconnected ‘omics and environmental data, Nucleic Acids Research. 49(D1), D792–D802, https://doi.org/10.1093/nar/gkaa637

Androulidakis, Y., Kourafalou, V., Le Hénaff, M., Kang, H., and Ntaganou, N., 2021: The Role of Mesoscale Dynamics over Northwestern Cuba in the Loop Current Evolution in 2010, during the Deepwater Horizon Incident. Journal of Marine Science and Engineering. 9(2):188. https://doi.org/10.3390/jmse9020188

Androulidakis, Y.S., and V.H. Kourafalou, 2013: On the processes that influence the transport and fate of Mississippi waters under flooding outflow conditions. Ocean Dynamics, 62(2-3), 143-164. [PDF]

Beggs, H. M., R. Verein, G. Paltoglou, H. Kippo, and M. Underwood, 2012: Enhancing ship of opportunity sea surface temperature observations in the Australian region. J. Operational Oceanography, 5(1). [Link] DOI: 10.1080/1755876X.2012.11020132.

Bentamy, A., D. Croize-Fillon, P. Queffeulou, C. Liu, and H. Roquet, 2009: Evaluation of high-resolution surface wind products at global and regional scales. J. Operational Oceanography, 2(2), 15-27. [Link]

Bourassa, M. A., D. M. Legler, J. J. O'Brien, and S. R. Smith, 2003: SeaWinds validation with research vessels. J. Geophys. Res., 108, DOI 10.1029/2001JC001081.

Bourassa, M. A., M. H. Freilich, D. M. Legler, W. T. Liu, and J. J. O'Brien, 1997: Wind observations from new satellite and research vessels agree, EOS, 78, 597-602.

Bruno-Piverger, R. E., 2019: Applying neural networks to simulate visual inspection of observational weather data. B.S. thesis, Florida State University, 19 pp. [PDF]

Derin, Y., Kirstetter, P., and Gourley, J. J., 2021: Evaluation of IMERG Satellite Precipitation over the Land–Coast–Ocean Continuum. Part I: Detection, Journal of Hydrometeorology, 22(11), 2843-2859. Retrieved Nov 17, 2021, from https://journals.ametsoc.org/view/journals/hydr/22/11/JHM-D-21-0058.1.xml

Drushka, K., W. E. Asher, J. Sprintall, S. T. Gille, and C. Hoang, 2019: Global Patterns of Submesoscale Surface Salinity Variability . J. Phys. Oceanogr., 49, 1669-1685, https://doi.org/10.1175/JPO-D-19-0018.1.

Hauri, Claudine, et al. "Wind-driven mixing causes a reduction in the strength of the continental shelf carbon pump in the Chukchi Sea." Geophysical Research Letters 40.22 (2013): 5932-5936. [Link] DOI: 10.1002/2013GL058267

Jackson, Darren L., and Gary A. Wick. "Propagation of uncertainty analysis of CO2 transfer velocities derived from the COARE gas transfer model using satellite inputs." Journal of Geophysical Research: Oceans 119.3 (2014): 1828-1842. [Link] DOI: 10.1002/2013JC009271

Kilpatrick, T., Xie, S.-P., Tokinaga, H., Long, D., & Hutchings, N., 2019: Systematic scatterometer wind errors near coastal mountains. Earth and Space Science, 6, 1900– 1914. https://doi.org/10.1029/2019EA000757

Kourafalou, V. H., and Y. S. Androulidakis, 2013: Influence of Mississippi River induced circulation on the Deepwater Horizon oil spill transport. J. Geophys. Res. - Oceans, 118(8), 3823-3842. [Link] DOI: 10.1002/jgrc.20272.

Li, M., J. Liu, Z. Wang, H. Wang, Z. Zhang, L. Zhang, and Q. Yang, 2013: Assessment of Sea Surface Wind from NWP Reanalyses and Satellites in the Southern Ocean. J. Atmos. Oceanic Technol., 30(8), 1842-1853. [Link] DOI: 10.1175/JTECH-D-12-00240.1.

May, J. C., and M. A. Bourassa, 2011: Quantifying variance due to temporal and spatial difference between ship and satellite winds. J. Geophys. Res. - Oceans, 116(C08013). [Link] DOI: 10.1029/2010JC006931.

May, J. C., C. Rowley, and C. N. Barron, 2017: NFLUX satellite-based surface radiative heat fluxes. Part I: Swath-level products. J. Applied Meteorology and Climatology. [Link] DOI: 10.1175/JAMC-D-16-0282.1.

May, J. C., C. Rowley, and C. N. Barron, 2017: NFLUX satellite-based surface radiative heat fluxes. Part II: Gridded products. J. Applied Meteorology and Climatology. [Link] DOI: 10.1175/JAMC-D-16-0283.1.

Reul, N., S.A. Grodsky, M. Arias, J. Boutin, R. Catany, B. Chapron, F. D'Amico, E. Dinnat, C. Donlon, A. Fore, S. Fournier, S. Guimbard, A. Hasson, N. Kolodziejczyk, G. Lagerloef, T. Lee, D.M. Le Vine, E. Lindstrom, C. Maes, S. Mecklenburg, T. Meissner, E. Olmedo, R. Sabia, J. Tenerelli, C. Thouvenin-Masson, A. Turiel, J.L. Vergely, N. Vinogradova, F. Wentz, S. Yueh, 2020: Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019), Remote Sensing of Environment, 242. https://doi.org/10.1016/j.rse.2020.111769.l

Reul, N., et al. "Sea surface salinity structure of the meandering Gulf Stream revealed by SMOS sensor." Geophysical Research Letters 41.9 (2014): 3141-3148. [Link] DOI: 10.1002/2014GL059215

Smith, S. R., K. Briggs, N. Lopez, and V. Kourafalou, 2016: Numerical model evaluation using automated underway ship observations. J. Atmos. Ocean. Technol., 33, 409-428. [PDF] DOI: 10.1175/JTECH-D-15-0052.1

Smith, S. R., D. M. Legler, and K. V. Verzone, 2001: Quantifying uncertainties in NCEP reanalyses using high quality research vessel observations. J. Climate, 14, 4062-4072.

Tang, M., F. Li, J. M. Phillips, and J. Jestes, 2012: Efficient Threshold Monitoring for Distributed Probabilistic Data. 2012 IEEE 28th International Conference on Data Engineering, Washington, DC, 2012, 1120-1131. [Link] DOI: 10.1109/ICDE.2012.34.

Related Publications
Josey, S. A., and S. R. Smith, 2006: Guidelines for evaluation of air-sea heat, freshwater, and momentum flux datasets. Prepared in response to CLIVAR Global Synthesis and Observation Panel (GSOP) first session recommendation #28, 14 pp. [PDF]

Stow, J., M. A. Bourassa, and H. M. Holbach, 2020: Analyzing Gaps in Hurricane Rain Coverage to Inform Future Satellite Proposals. Remote Sensing, 12(17), 2673. https://doi.org/10.3390/rs12172673

WGASF, 2000: Intercomparison and validation of ocean-atmosphere energy flux fields. Final report of the Joint WCRP/SCOR Working Group on Air-Sea Fluxes, WCRP-112 (WMO/TD 1035), Geneva, Switzerland, 308 pp.