The IOCCG bibliography is updated periodically when new references are submitted by readers. Another useful ocean colour bibliography is the searchable Historic Ocean Colour Archive assembled by Marcel Wernand, with articles and books written between the 17th and early 20th century.
If you would like to submit a peer-reviewed publication to be included in the IOCCG Bibliography, please send the reference to Raisha Lovindeer using the following format: Lastname1, Initials1., Lastname2, Initials2., etc. (DATE). Full title of publication, Journal Abbreviation, Volume, Page numbers, DOI (if available). Please also check to see if the reference is not already in the database (search by first author). It is not necessary to send the PDF file as an attachment. Note that only peer-reviewed articles will be accepted.
If you would like to view recently-published papers, enter the current year in “Search by Keyword”. You can also search the database using keywords or the author’s last name. For papers dealing with Remote Sensing of Marine Litter and Debris, use the keyword “RSMLD”. You can also view the Datasets Bibliography for remote sensing and marine litter and debris.
Bibliography
Watts, L.J., Sathyendranath, S., Caverhill, C., Maass, H., Platt, T. and Owens, N.J.P. (1999). Modelling new production in the north west Indian Ocean region. Mar. Ecol. Prog. Ser., 183: 1-12.
Weeks, A.R., Robinson, I.S., Schwarz, J.N. and Trundle, K.T. (1999). The Southampton underwater multiparameter optical-fibre spectrometer system (SUMOSS). Meas. Sci. Technol., 10: 1168-1177.
Weeks, S. J., Pitcher, G. C., and Bernard, S. (2004). Satellite monitoring of the evolution of a coccolithophorid bloom in the Southern Benguela upwelling system. Oceanogr. 17: 83-89.
Weeks, S.J. and Shillington, F.A. (1994). Interannual scales of variation of pigment concentrations from coastal zone color scanner data in the Benguela upwelling system and the subtropical convergence zone south of Africa. J. Geophys. Res., 99: 7385-7399.
Wei, J., M. Wang, K. Mikelsons, L. Jiang, S. Kratzer, Z. Lee, T. Moore, H.M. Sosik, and D. Van der Zande, (2022) Global satellite water classification data products over oceanic, coastal, and inland waters, Remote Sens. Environ., 282, 113233. doi:10.1016/j.rse.2022.113233
Wei, J., M. Wang, L. Jiang, X. Yu, K. Mikelsons, and F. Shen (2021). Global estimation of suspended particulate matter from satellite ocean color imagery. Journal of Geophysical Research: Oceans, 126, e2021JC017303. doi:10.1029/2021JC017303
Wei, J., Z. Lee, and S. Shang (2016), A system to measure the data quality of spectral remote-sensing reflectance of aquatic environments, Journal of Geophysical Research, 121, doi:10.1002/2016JC012126. [Full article].
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Wells, M.L., Trainer, V.L., Smayda, T.J., Karlson, B.S.O., Trick, C.G., . Kudela, RM., Ishikawa, A., Bernard, S., Wulff, A., Anderson, D.M., Cochlan, W.P. (2015). Harmful algal blooms and climate change: Learning from the past and present to forecast the future. Harmful Algae, 49: 68-93. [Abstract]
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Werdell, P.J. and Bailey, S.W. (2005). An improverd in-situ bio-optical data set for ocean color algorithm development and satellite data product validation. Remote Sensing of Environment, 98: 122-140.
Werdell, P.J. Franz, B.A., Bailey,S.W., Feldman, G.C., Boss, E., Brando, V.E., Dowell,M., Hirata, T., Lavender, S.J., Lee, Z.P., Loisel,H., Maritorena,S., Mélin, F., Moore,T.S., Smyth,T.J., Antoine, D., Devred,E., Fanton d’Andon,O.H.J. and Mangin, A. (2013). Generalized ocean color inversion model for retrieving marine inherent optical properties. Applied Optics, 52(10): 2019-2037. [Abstract]
Wernand, M. R., Hommersom, A. and van der Woerd, H. J. (2013). MERIS-based ocean colour classification with the discrete Forel–Ule scale. Ocean Sci., 9: 477-487, doi:10.5194/os-9-477-2013.
Wernand, M. R., van der Woerd, H. J. and Gieskes (2013). Trends in ocean colour and chlorophyll concentration from 1889 to 2000, worldwide. PLOS ONE, http://dx.plos.org/10.1371/journal.pone0063766.
Wernand, M.R. (2010). On the history of the Secchi disc. J. Europ. Opt. Soc. Rap. Public. 5, 10013s, 1-6.
Wernand, M.R. (2011). Poseidons paintbox, Historical archives of ocean colour in global-change perspective. PhD thesis, Utrecht University, pp. 240, ISSN 978-90-6464-509-9.
Wernand, M.R. and van der Woerd, H.J. (2010). Spectral analyses of the Forel-Ule ocean colour comparator scale. J. Europ. Opt. Soc. Rap. Public. 5, 10014s, 1-7.
Wernand, M.R. and van der Woerd, H.J. (2010). Ocean colour changes in the North Pacific since 1930. J. Europ. Opt. Soc. Rap. Public. 5, 10015s, 1-6.
Wernand, M.R., and W. Gieskes (2011). Ocean Optics from 1600 (Hudson) to 1930 (Raman), shifting interpretation of natural water colouring. Union des Océanographes de France, Paris, ISBN: 978-2-9510625-3-5.
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Westberry T.K., D.A. Siegel and A. Submaranium, (2005). An improved bio-optical model for the remote sensing of Trichodesmium spp. blooms. Journal of Geophysical Research, 110, C06012, doi:10.1029/2004JC002517. [PDF]
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Westberry, T.K. and D.A. Siegel, (2006). Spatial and temporal distribution of Trichodesmium blooms in the world’s oceans. Global Biogeochemical Cycles, 20, GB4016, doi:10.1029/2005GB002673 [PDF]
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Whiteside, A. S., Dupouy, C., Singh, A., Bani, P., & Frouin, R. (2023). Impact of ashes from the 2022 Tonga volcanic eruption on satellite ocean color signatures. Frontiers in Marine Science, 2566. https://doi.org/10.3389/fmars.2022.1028022
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Whitmire, A.L., W.S. Pegau, L. Karp-Boss, E. Boss, and T.J. Cowles (2010). Spectral backscattering properties of marine phytoplankton cultures. Opt. Express 18(14): 15073-15093.
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Winans, W. R., Chen, Q., Qiang, Y., and Franklin, E. C. (2023) Large-area automatic detection of shoreline stranded marine debris using deep learning. Int. J. Appl. Earth Obs. Geoinformation, 124, 103515, https://doi.org/10.1016/j.jag.2023.103515
Wolanin A., Rozanov V. V., Noel S., Dinter T., Vountas M., Burrows J.P., Bracher A. (2015). Global retrieval of marine and terrestrial chlorophyll fluorescence at its red peak using hyperspectral top of atmosphere radiance measurements: Feasibility study and first results. Remote Sensing of Environment, 166: 243-261 . doi: 10.1016/j.rse.2015.05.018. [Full Article].
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