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Darius Stramski
Darius Stramski
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Professor in the Marine Physical Laboratory at Scripps Institution of Oceanography
Recent PACE-related Publications | See All ►
An Overview of Approaches and Challenges for Retrieving Marine Inherent Optical Properties from Ocean Color Remote Sensing (2018)
Optical Classification and Characterization of Marine Particle Assemblages Within the Western Arctic Ocean (2016)
Assessing Phytoplankton Community Composition from Hyperspectral Measurements of Phytoplankton Absorption Coefficient and Remote-Sensing Reflectance in Open-Ocean Environments (2015)
Correction of Pathlength Amplification in the Filter-Pad Technique for Measurements of Particulate Absorption Coefficient in the Visible Spectral Region (2015)

Science Meeting Presentations (5)

Quantifying the Spectral Absorption Coefficients of Phytoplankton and Non-Phytoplankton Components of Seawater from in Situ and Remote-Sensing Measurements
Stramski, D. and Reynolds, R.A. (16-Jan-18). Click here to view this presentation with audio.
Quantifying the Spectral Absorption Coefficients of Phytoplankton and Non-Phytoplankton Components of Seawater from in Situ and Remote-Sensing Measurements
Stramski, D. and Reynolds, R.A. (17-Jan-17). Click here to view this presentation with audio.
Uncertainties in the Water-leaving Spectral Radiance Derived from Extrapolation of Near-surface Underwater Measurements
Li, L., Stramski, D., and Reynolds, R.A. (26-Feb-16). Extrapolation of near-surface underwater measurements is the most common method to estimate the water-leaving spectral radiance, Lw(λ) (where λ is the light wavelength in vacuum), and remote-sensing reflectance, Rrs(λ), for validation and vicarious calibration of satellite sensors, as well as for ocean color algorithm development. However, uncertainties in Lw(λ) arising from the extrapolation process have not been investigated in detail with regards to the potential influence of inelastic radiative processes such as Raman scattering and fluorescence.
Quantifying the Spectral Absorption Coefficients of Phytoplankton and Non-Phytoplankton Components of Seawater from in Situ and Remote-Sensing Measurements
Stramski, D. and Reynolds, R.A. (21-Jan-16)
Quantifying the Spectral Absorption Coefficients of Phytoplankton and Non-Phytoplankton Components of Seawater from in Situ and Remote-Sensing Measurements
Stramski, D. and Reynolds, R.A. (14-Jan-15)

ROSES Proposal

Quantifying the Spectral Absorption Coefficients of Phytoplankton and NonPhytoplankton Components of Seawater from in Situ and Remote-Sensing Measurements
As members of the PACE Science Team we propose to pursue analytical and theoretical studies as part of the measurement suite area "Inherent Optical Properties (IOPs) of the Ocean". Our goal is to improve field measurements of particulate absorption coefficients and remote sensing estimates of absorption coefficients of phytoplankton and non-phytoplankton components and particulate carbon pools associated with these components. The main objectives are to: (1) Develop a protocol and quantify the uncertainties of a new filter-pad approach and the existing filter-pad methods to measuring the particulate absorption coefficient; (2) Develop a model to partition the absorption coefficient of seawater into phytoplankton, non-algal particulate (NAP), and colored dissolved organic matter (CDOM) components with a key novel aspect of separating NAP from CDOM; and (3) Conduct a pilot study of the relationship between NAP absorption and NAP organic carbon to enable a capability for remote sensing of carbon pools associated with separate phytoplankton and non-phytoplankton components. The overall approach to address these objectives will be based primarily on the analysis of existing laboratory and field data, but will also encompass a combination of limited number of laboratory and field measurements to collect new data, and the application of remote sensing data from high spectral resolution sensor HICO. With regard to Objective 1 we will examine the filter-pad methods for determining the absorption coefficient of particles with high spectral resolution(~ 1 nm) over a broad spectral range from UV through NIR; specifically the traditional transmittance (T) and transmittance-reflectance (T-R) methods as well as the inside-sphere (IS) method which is the most recent refinement with the filter placed inside an integrating sphere. The IS method offers several advantages over the T and T-R methods, leading to improved accuracy and precision of absorption measurements. We will determine complete protocols including new optimal correction algorithms for pathlength amplification factor (which is the main source of uncertainty) and will quantify uncertainties for all three methods, benefiting the interpretation of historical data and acquisition of future data of particulate absorption. We anticipate that the IS approach will serve as the new recommended (preferable) method for measurements of particle absorption. With regard to Objective 2 we will develop a model to provide for the first time a capability for estimating the three major absorption components separately (phytoplankton, NAP, and CDOM) from the total absorption coefficient of seawater, which is derivable from remote sensing. In this development, we will use the existing quality-verified field data of absorption coefficients from various regions of the world's ocean and will expand the approach that has been successful for partitioning the absorption coefficient into phytoplankton and non-phytoplankton (NAP+CDOM combined) components (Zheng and Stramski 2013). The significance of the proposed partitioning model is associated with relationships between the component absorption coefficients and biogeochemical stocks, such as DOC, particulate non-algal and phytoplankton carbon, chlorophyll-a, as well as phytoplankton community structure and primary productivity. As a prototyping activity (Objective 3) we will examine one such unexplored link, specifically the relationship between the NAP absorption and NAP organic carbon, which will provide a basis for estimating separate pools of phytoplankton and non-algal organic carbon from remote sensing. This project will create new and advance existing algorithms for deriving ocean color data products, in particular IOPs and carbon stocks associated with separate phytoplankton and non-phytoplankton components, which will contribute to scientific goals of PACE mission to understand ocean carbon cycling and ecology.

Publications (31)

Werdell, P.J., McKinna, L.I.W., Boss, E., Ackleson, S.G., Craig, S.E., Gregg, W.W., Lee, Z., Maritorena, S., Roesler, C.S., Rousseaux, C.S., Stramski, D., Sullivan, J.M., Twardowski, M.S., Tzortziou, M. and Zhang, X. (2018). An Overview of Approaches and Challenges for Retrieving Marine Inherent Optical Properties from Ocean Color Remote Sensing, Prog. Oceanogr., 160, 186-212, doi:10.1016/j.pocean.2018.01.001 .
Neukermans, G., Reynolds, R.A., and Stramski, D. (2016). Optical Classification and Characterization of Marine Particle Assemblages Within the Western Arctic Ocean, Limnol. Oceanogr., 61(4), 1472-1494, doi: 10.1002/lno.10316.
Uitz, J., Stramski, D., Reynolds, R.A., and Dubranna, J. (2015). Assessing Phytoplankton Community Composition from Hyperspectral Measurements of Phytoplankton Absorption Coefficient and Remote-Sensing Reflectance in Open-Ocean Environments, Remote Sens. Environ., 171, 58-74, doi: 10.1016/j.rse.2015.09.027.
Stramski, D., Reynolds, R.A., Kaczmarek, S., Uitz, J., and Zheng, G. (2015). Correction of Pathlength Amplification in the Filter-Pad Technique for Measurements of Particulate Absorption Coefficient in the Visible Spectral Region, Appl. Opt., 54(22), 6763-6782, doi: 10.1364/AO.54.006763.
Zheng, G., Stramski, D., and DiGiacomo, P.M. (2015). A Model for Partitioning the Light Absorption Coefficient of Natural Waters Into Phytoplankton, Nonalgal Particulate, and Colored Dissolved Organic Components: A Case Study for the Chesapeake Bay, J. Geophys. Res. Oceans, 120(4), 2601-2621, doi: 10.1002/2014JC010604.
Zheng, G., Stramski, D., and Reynolds, R.A. (2014). Evaluation of the Quasi-Analytical Algorithm for Estimating the Inherent Optical Properties of Seawater from Ocean Color: Comparison of Arctic and Lower-Latitude Waters, Remote Sens. Environ., 155,194-209, doi: 10.1016/j.rse.2014.08.020.
Zheng, G. and Stramski, D. (2013). A Model for Partitioning the Light Absorption Coefficient of Suspended Marine Particles Into Phytoplankton and Non-Algal Components, J. Geophys. Res. Oceans, 118(6), 2977-2991, doi: 10.1002/ jgrc.20206.
Zheng, G. and Stramski, D. (2013). A Model Based On Stacked-Constraints Approach For Partitioning The Light Absorption Coefficient Of Seawater Into Phytoplankton And Non-Phytoplankton Components, J. Geophys. Res. Oceans, 118(4), 2155-2174, doi:10.1002/jgrc.20115.
Yang, Q., Stramski, D., and He, M.-X. (2013). Modeling the Effects of Near-Surface Plumes of Suspended Particulate Matter on Remote-Sensing Reflectance of Coastal Waters, Appl. Opt., 52(3), 359-374, doi: 10.1364/AO.52.000359.
Torrecilla, E., Stramski, D., Reynolds, R.A., Millán-Núñez, E., and Piera, J. (2011). Cluster Analysis of Hyperspectral Optical Data for Discriminating Phytoplankton Pigment Assemblages in the Open Ocean, Remote Sens. Environ., 115(10), 2578-2593, doi:10.1016/j.rse.2011.05.014.
Allison, D.B., Stramski, D., and Mitchell, B.G. (2010). Empirical Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Southern Ocean, J. Geophys. Res., 115(C10), C10044, doi: 10.1029/2009JC006040.
Woźniak, S.B., Stramski, D., Stramska, M., Reynolds, R.A., Wright, V.M., Miksic, E.Y., Cichocka, M., and Cieplak, A.M. (2010). Optical Variability of Seawater in Relation to Particle Concentration, Composition, and Size Distribution in the Nearshore Marine Environment at Imperial Beach, California, J. Geophys. Res., 115(C8), C08027, doi: 10.1029/2009JC005554.
Reynolds, R.A., Stramski, D., Wright, V.M., and Woźniak, S.B. (2010). Measurements and Characterization of Particle Size Distributions in Coastal Waters, J. Geophys. Res., 115(C8), C08024, doi: 10.1029/2009JC005930.
Stramski, D., Reynolds, R.A., Babin, M., Kaczmarek, S., Lewis, M.R., Röttgers, R., Sciandra, A., Stramska, M., Twardowski, M.S., Franz, B.A., and Claustre, H. (2008). Relationships Between the Surface Concentration of Particulate Organic Carbon and Optical Properties in the Eastern South Pacific and Eastern Atlantic Oceans, Biogeosciences, 5, 171-201, doi:10.5194/bg-5-171-2008.
Stramski, D., Babin, M., and Woźniak, S.B. (2007). Variations in the Optical Properties of Terrigeneous Mineral-Rich Particulate Matter Suspended in Seawater, Limnol. Oceanogr., 52(6), 2418-2433, doi: 10.4319/lo.2007.52.6.2418.
Stramski, D. and Woźniak, S.B. (2005). On the Role of Colloidal Particles in Light Scattering in the Ocean, Limnol. Oceanogr., 50(5), 1581-1591, doi: 10.4319/lo.2005.50.5.1581.
Stramska, M. and Stramski, D. (2005). Effects of a Nonuniform Vertical Profile of Chlorophyll Concentration on Remote-Sensing Reflectance of the Ocean, Appl. Opt., 44(9), 1735-1747, doi: 10.1364/AO.44.001735.
Woźniak, S.B. and Stramski, D. (2004). Modeling the Optical Properties of Mineral Particles Suspended in Seawater and Their Influence on Ocean Reflectance and Chlorophyll Estimation from Remote Sensing Algorithms, Appl. Opt., 43(17), 3489-3503, doi: 10.1364/AO.43.003489.
Babin, M. and Stramski, D. (2004). Variations in the Mass-Specific Absorption Coefficient of Mineral Particles Suspended in Water, Limnol. Oceanogr., 49(3), 756-767, doi: 10.4319/lo.2004.49.3.0756.
Stramski, D., Boss, E., Bogucki, D, and Voss, K.J. (2004). The Role of Seawater Constituents in Light Backscattering in the Ocean, Prog. Oceanogr., 61(1), 27-56, doi: 10.1016/j.pocean.2004.07.001.
Darecki, M. and Stramski, D. (2004). An Evaluation of MODIS and Seawifs Bio-Optical Algorithms in the Baltic Sea, Remote Sens. Environ., 89(3), 326-350, doi: 10.1016/j.rse.2003.10.012.
Stramski, D. and Piskozub, J. (2003). Estimation of Scattering Error in Spectrophotometric Measurements of Light Absorption by Aquatic Particles from Three-Dimensional Radiative Transfer Simulations, Appl. Opt., 42(18), 3634-3646, doi: 10.1364/AO.42.003634.
Babin, M. and Stramski, D. (2002). Light Absorption by Aquatic Particles in the Near-Infrared Spectral Region, Limnol. Oceanogr., 47(3), 911-915, doi: 10.4319/lo.2002.47.3.0911.
Stramski, D., Bricaud, A., and Morel, A. (2001). Modeling the Inherent Optical Properties of the Ocean Based on the Detailed Composition of Planktonic Community, Appl. Opt., 40(18), 2929-2945, doi: 10.1364/AO.40.002929.
Reynolds, R.A., Stramski, D., and Mitchell, B.G. (2001). A Chlorophyll-Dependent Semianalytical Reflectance Model Derived from Field Measurements of Absorption and Backscattering Coefficients Within the Southern Ocean, J. Geophys. Res., 106(C4), 7125-7138, doi: 10.1029/1999JC000311.
Loisel, H. and Stramski, D. (2000). Estimation of the Inherent Optical Properties of Natural Waters from Irradiance Attenuation Coefficient and Reflectance in the Presence of Raman Scattering, Appl. Opt., 39(18), 3001-3011, doi: 10.1364/AO.39.003001.
Stramski, D., Reynolds, R.A., Kahru, M., and Mitchell, B.G. (1999). Estimation of Particulate Organic Carbon in the Ocean from Satellite Remote Sensing, Science, 285(5425), 239-242, doi: 10.1126/science.285.5425.239.
Stramski, D. and Mobley, C.D. (1997). Effects of Microbial Particles on Oceanic Optics: A Database of Single-Particle Optical Properties, Limnol. Oceanogr., 42(3), 538-549, doi: 10.4319/lo.1997.42.3.0538.
Stramski, D. and Kiefer, D.A. (1991). Light Scattering by Microorganisms in the Open Ocean, Prog. Oceanogr., 28(4), 343-383, doi: 10.1016/0079-6611(91)90032-H.
Stramski, D. (1990). Artifacts in Measuring Absorption Spectra of Phytoplankton Collected on a Filter, Oceanogr., 35(8), 1804-1809, doi: 10.4319/lo.1990.35.8.1804.
Bricaud, A. and Stramski, D. (1990). Spectral Absorption Coefficients of Living Phytoplankton and Non-Algal Biogenous Matter: A Comparison Between The Peru Upwelling Area and Sargasso Sea, Limnol. Oceanogr., 35(3), 562-582, doi: 10.4319/lo.1990.35.3.0562.