Jumbo Content

People

Emmanuel Boss
 Email | Website
PACE Science Team Lead | Professor in the School of Marine Sciences at the University of Maine
Recent PACE-related Publications | See All ►
A Novel Approach to a Satellite Mission's Science Team (2018)
An Overview of Approaches and Challenges for Retrieving Marine Inherent Optical Properties from Ocean Color Remote Sensing (2018)
Revisiting Ocean Color Algorithms for Chlorophyll a and Particulate Organic Carbon in the Southern Ocean Using Biogeochemical Floats (2017)
Vector Radiative Transfer Model for Coupled Atmosphere and Ocean Systems Including Inelastic Sources in Ocean Waters (2017)

Science Meeting Presentations (8)

Collecting and Processing Underway In-Line Optical Data
Boss, E., Balch, B., Bowler, B., Dall'Olmo, G., Freeman, S., Neary, W., Nelson, N., Novak, M., Proctor, C., Slade, W., Westberry, T., Haentjens, N. and Chase, A. (16-Jan-18). Click here to view this presentation with audio.
Atmospheric Correction for Retrieval of Ocean Spectra from Space (ACROSS)
Chowdhary, J., Cairns, B., Zhai, P., Xu, F., Frouin, R., Stamnes, S., Cetinic, I., Liu, L., Twardowski, M., Hu, Y., Mischenko, M., Ottaviani, M., Remer, L., Boss, E., Lee, Z., Zhang, X., Dierssen, H., and Ibrahim, A. (16-Jan-18). Click here to view this presentation with audio.
Collecting and Processing Underway In-line Optical Data
Boss, E., Balch, B., Bowler, B., Dall'Olmo, G., Freeman, S., Neary, W., Nelson, N., Novak, M., Proctor, C., Slade, W., and Westberry, T. (17-Jan-17). Click here to view this presentation with audio.
Progress Report From PACE’s Science Team
Boss, E. and Remer, L.A. (26-Feb-16). PACE, NASA's upcoming strategic climate continuity mission is due to launch in 2022. PACE will have a hyperspectral radiometer spanning from 350 to 800nm, several SWIR bands, and a polarimeter, allowing it to be used for studies of ocean biogeochemistry as well as to study clouds and aerosols distribution and microphysics. In anticipation to the launch, a Science Team was competed for and assembled who is tasked with working on algorithms to retrieve inherent optical properties and on atmospheric correction.
Advancing Ocean Remote Sensing with Spaceborne Lidar
Hostetler, C.A., Behrenfeld, M.J., Hair, J.W., Hu, Y., Powell, K.A., Scarino, A.J., Butler, C.F., Boss, E., Siegel, D., and Cetinic, I. (26-Feb-16). Global estimates of phytoplankton biomass (Cphyto) and particulate organic carbon (POC) have traditionally been made using passive ocean color measurements. Recently, data from the CALIOP sensor on the CALIPSO satellite have provided the first measurements of these two key carbon cycle stocks from a space-based lidar despite the fact that CALIOP was not designed for subsurface ocean retrievals.
A Global Database of High Horizontal Resolution IOPs for Validation of Remotely Sensed Ocean Color
Boss, E. (21-Jan-16)
A Global Database of High Horizontal Resolution IOPs for Validation of Remotely Sensed Ocean Color
Boss, E. (14-Jan-15)
PACE Bands
Boss, E. (14-Mar-12)

ROSES Proposal

A Global Database of High Horizontal Resolution IOPs for Validation of Remotely Sensed Ocean Color
The activity proposed here consists of 1. Creating a consortium of practitioners interested in standardizing collection and processing of high horizontal resolution data collected using flowthrough in-line systems, 2. Sharing associated codes, 3. Providing the community with a plan for deployment, processing and computation of estimated uncertainties associated with in-line data, and 4. Creating a uniformly processed dataset for Cal/Val activities and studies of inherent optical properties (IOP) distributions throughout the world's oceans.

Such a dataset will be unique in its global extent, being ideal for validation of remote sensing product and for algorithm development for a global mission such as PACE. Critical evaluation of the in-line IOP acquisition is necessary to assign realistic uncertainties to those IOPs.

Once processing methodology is agreed upon among the collaborators, UMaine will reprocess historical in-line data collected by the collaborators and provide them to SeaBASS with the processing algorithms and source codes for future use by the ocean color community. Efforts will be made such that data generated will have sufficient details so that alternative processing could be applied without the need to reprocess the raw data.

As part of this proposal we will use the data to answer the following SCIENCE question: What are the characteristics of sub-satellite-pixel variability in IOPs in the ocean?

The utility of the in-line dataset goes well beyond the scope of this proposal and can be used to answer other science questions directly relevant to PACE (a global hyperspectral mission), such as:
  • What are the deviations of IOPs from published bio-optical relationships and how do they vary with variables such as temperature, salinity, date, distance from land and ocean depth?
  • What information is available in hyperspectral IOPs (and hence hyperspectral ocean color) in addition to that currently obtained with spectral sensors (e.g. added pigments in addition to chlorophyll a (e.g. Chase et al., 2014), size information etc.)?
As part of this proposal we will use the data to answer the following METHODOLOGICAL questions: 1. What should we acquire as discrete samples to increase the utility of the in-line systems? 2. How do in-line data compare to in-water data collected with similar sensors at the same time (e.g. are there noticeable biases in in-line data?)? Answering these methodological questions will improve in-line collection and our estimates of uncertainties for the data collected. Uncertainties are necessary to evaluate the degree of agreement between remote and in-situ estimates of IOPs as well as biogeochemical quantities.

PI Boss also proposes himself to be the IOP Science team lead.

Publications (20)

Boss, E., and Remer, L.A. (2018). A Novel Approach to a Satellite Mission's Science Team, EOS, 99, doi:10.1029/2018EO092639.
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 .
Haentjens, N., Boss, E., and Talley, L.D. (2017). Revisiting Ocean Color Algorithms for Chlorophyll a and Particulate Organic Carbon in the Southern Ocean Using Biogeochemical Floats, J. Geophys. Res. Oceans, 122, 6583-6593.
Zhai P.W., Hu, Y., Winker, D., Franz, B., Werdell, J., and Boss, E. (2017). Vector Radiative Transfer Model for Coupled Atmosphere and Ocean Systems Including Inelastic Sources in Ocean Waters, Opt. Express 25(8), A223-A239, doi: 10.1364/OE.25.00A223.
Gerbi, G.P., Boss, E., Werdell, P.J., Proctor, C.W., Haentjens, N., Lewis, M.R., Brown, K., Sorrentino, D., Zaneveld, J.R.V., Barnard, A.H., Koegler, J., Fargher, H., Dedonato, M., and Wallace, W. (2016). Validation of Ocean Color Remote Sensing Reflectance Using Autonomous Floats, J. Atmos. and Oceanic Tech. 33, 2331-2352, doi:10.1175/JTECH-D-16-0067.1.
*Brewin, R.J., Dall'Olmo, W.G., Pardo, S., van Dongen-Vogels, V., and Boss, E.S. (2016). Underway Spectrophotometry Along the Atlantic Meridional Transect Reveals High Performance in Satellite Chlorophyll Retrievals, Remote Sens Environ, 183, 82-97, dos: 10.1016/j.rse.2016.05.005.
Behrenfeld, M.J., O'Malley, R.T., Boss, E.S., Westberry, T.K., Graf, J.R., Halsey, K.H., Milligan, A.J., Siegel, D.A., and Brown, M.B. (2015). Revaluating Ocean Warming Impacts on Global Phytoplankton, Nature Climate Change, 6, 323-330, doi: 10.1038/NCLIMATE2838.
*Zhai, P.-W., Hu, Y., Winker, D.M., Franz, B.A., and Boss, E. (2015). Contribution of Raman Scattering to Polarized Radiation Field in Ocean Waters, Opt. Express, 23(18), 23582-23596, doi: 10.1364/oe.23.023582.
Slade, W.H. and Boss, E. (2015). Spectral Attenuation and Backscattering as Indicators of Average Particle Size, Appl. Opt., 54, 24, 7264-7277, doi: 10.1364/AO.54.007264.
*Brewin, R.J.W., Raitsos, D.E., Dall'Olmo, G., Zarokanellos, N., Jackson, T., Racault, M-F., Boss, E.S., Sathyendranath, s., Jones, B.H., and Hoteit, I. (2015). Regional Ocean-colour Chlorophyll Algorithms for the Red Sea, Remote Sens Environ, 165, 64-85, doi: 10.1016/j.rse.2015.04.024.
Boss, E., Guidi, L., Richardson, M.J., Stemmann, L., Gardner, W., Bishop, J.K.B., Anderson, R.F., and Sherrell, R.M. (2015). Optical Techniques for Remote and In-Situ Characterization of Particles Pertinent to GEOTRACES, Prog. Oceanogr., 133, 43-54, doi: 10.1016/j.pocean.2014.09.007.
Lehahn, Y., Koren, I., Schatz, D., Frada, M., Sheyn, U., Boss, E., Efrati, S., Rudich, Y., Trainic, M., Sharoni, S., Laber, C., DiTullio, G.R., Coolen, M.J.L., Martins, A.M., Van Mooy, B.A.S., Bidle, K.D., and Vardi, A. (2014). Decoupling Physical from Biological Processes to Assess the Impact of Viruses on a Mesoscale Algal Bloom, Curr. Biol., 24(17), 2041-2046, doi: 10.1016/j.cub.2014.07.046.
Behrenfeld, M. and Boss, E. (2014). Resurrecting the Ecological Underpinnings of Ocean Plankton Blooms, Annu. Rev. Mar. Sci., 6, 167-194, doi: 10.1146/annurev-marine-052913-021325.
Chase, A., Boss, E., Zaneveld, R.J.V., Bricaud, A., Claustre, H., Ras, J., Dall'Olmo, G., and Westberry, T.K. (2013). Decomposition of In Situ Particulate Absorption Spectra, Method. Oceanogr., 7, 110-124, doi: 10.1016/j.mio.2014.02.002.
Boss, E., Picheral, M., Leeuw, T., Chase, A., Karsenti, E., Gorsky, G., Taylor, L., Slade, W., Ras, J., and Claustre, H. (2013). The Characteristics of Particulate Absorption, Scattering and Attenuation Coefficients in the Surface Ocean; Contribution of the Tara Oceans Expedition, Method. Oceanogr., 7, 52-62, doi: 10.1016/j.mio.2013.11.002.
Werdell, P.J., Proctor, C.W., Boss, E.S., Leeuw, T., and Ouhssain, M. (2013). Underway Sampling of Marine Inherent Optical Properties on the Tara Oceans Expedition as a Novel Resource for Ocean Color Satellite Data Product Validation, Method. Oceanogr., 7, 40-51, doi: 10.1016/j.mio.2013.09.001.
Westberry, T.K., Boss, E., and Lee, Z.P. (2013). Influence of Raman Scattering on Ocean Color Inversion Models, Appl. Opt., 52(22), 5552-5561, doi: 10.1364/AO.52.005552.
Behrenfeld, M.J., Doney, S.C., Lima, I., Boss, E.S., and Siegel, D.A. (2013). Annual Cycles of Ecological Disturbance and Recovery Underlying the Subarctic Atlantic Spring Plankton Bloom, Global Biogeochem. Cy., 27(2), 526-540, doi: 10.1002/gbc.20050.
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., d'Andon, O.H.F., and Mangin, A. (2013). Generalized Ocean Color Inversion Model for Retrieving Marine Inherent Optical Properties, Appl. Opt., 52(10), 2019-2037, doi: 10.1364/AO.52.002019.
Martinez-Vicente, V., Dall'Olmo, G., Tarran, G., Boss, E., and Sathyendranath, S. (2013). Optical Backscattering is Correlated with Phytoplankton Carbon Across the Atlantic Ocean, Geophys. Res. Lett., 40(6), 1154-1158, doi: 10.1002/grl.50252.
*Funded by PACE