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Science Meeting Documents


               
NASA/IOCCG Aquatic Primary Productivity Workshop
2018 Science Team Meeting
2017 Science Team Meeting
2016 NASA Ocean Color Research Team Meeting
2016 Ocean Sciences Meeting
2016 Science Team Meeting
2015 Science Team Meeting
2012 Science Definition Team Meeting
2011 Science Definition Team Meeting

NASA/IOCCG Aquatic Primary Productivity Workshop

December 05-07, 2018
Columbia, Maryland USA
Documents (12)
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14C Uptake: What Have We Learned? Where Can We Go From Here?
Halsey, K. (05-Dec-18)
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Aquatic Primary Productivity Workshop Introduction
Vandermeulen, R. (05-Dec-18)
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Dissolved Oxygen Incubation: Terms, Methods, Newer Technologies
Salisbury, J. (05-Dec-18)
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Historical Perspective: Ocean Productivity in the 20th Century
Marra, J. (05-Dec-18)
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NASA PACE Mission and Protocol Activities
Mannino, A. (05-Dec-18)
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O2/Ar-Based Net Community Production Estimates
Juranek, L. (05-Dec-18)
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Photophysiology, FRR/FIRe Fluorometry: How it Works and How We Can Do Better
Gorbunov, M., Falkowski, P., Kuzminov, F., Lin, H., Park, J., Lee, S., et al. (05-Dec-18)
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Scaling Up: Modeling Efforts for Primary Production
Silsbe, G. (05-Dec-18)
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Scaling Up: Productivity Estimates Using Autonomous Platforms
Nicholson, D. (05-Dec-18)
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Scaling Up: Satellite-Based Budgets of Productivity
Balch, W. (05-Dec-18)
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Stable Isotopes (13C/18O) Incubations and Methodology
Letelier, R.M. (05-Dec-18)
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Triple Oxygen Isotopes for Quantifying Gross Primary Production (GPP)
Stanley, R.H.R. (05-Dec-18)

2018 Science Team Meeting

January 16-18, 2018
Harbor Beach Oceanographic Institute, Florida USA
Documents (26)
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Aerosol Absorption Retrievals from Base-Line OCI Observations
Remer, L., Mattoo, S., Levy, R., Torres, O., Ahmad, Z., Martins, V., and Gupta, P. (16-Jan-18). Click here to view this presentation with audio.
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Aerosol Characterization from Polarimeter and Lidar (ACEPOL) Overview
Knobelspiesse, K., Ferrare, R., Hasekamp, O., Maring, H., Seidel, F., da Silva, A., Bruegge, C., Burton, S., Cairns, B., Diner, D., Garay, M., Hasekamp, O., Kalashnikova, O., Vanderlei Martins, J., McGill, M., and Yorks, J. (16-Jan-18). View the animation from slide 10.
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Assessing the Impact of a Variable Seawater Depolarization Ratio on IOP Retrievals
Moore, T., Sullivan, J., and Twardowski, M. (16-Jan-18)
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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.
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Atmospheric Correction in the Presence of Absorbing Aerosols and Enhancement Quantification from Multi-Angle, Polarimetric Observations
Kalashnikova, O., Xu, F., Davis, A., and Garay, M. (16-Jan-18)
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Atmospheric Correction over Bright Water Targets with Non-negligible Radiances in the Near Infrared
Dierssen, H., Randolph, K., Garaba, S., Russell, B., and Bateman, T. (16-Jan-18). Click here to view this presentation with audio.
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Bayesian Methodology for Atmospheric Correction of PACE Ocean-Color Imagery
Frouin, R. (16-Jan-18)
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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.
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Derivation of Inherent Optical Properties from Satellite Top of Atmosphere Measurements in Optically Complex Waters
Craig, S., Lee, Z., and Miller, D. (16-Jan-18)
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Development of Datasets and Algorithms for Hyperspectral IOP Products from the PACE Ocean Color Measurements
Lee, Z., Ondrusek, M., and Tufillaro, N. (16-Jan-18)
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Hyperspectral Radiometric Device for Accurate Measurements of Water Leaving Radiance from Autonomous Platforms for Satellite Vicarious Calibrations (aka HYPERNAV)
Barnard, A., Boss, E., Van Dommelen, R., Brown, K., Lewis, M., Plache, B., Hutchins, J., Feener, S., Reiter, J., Carlson, D., Derr, A., Haentjens, N., and Walter, D. (24-Apr-18)
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Improved Satellite Ocean Color Retrievals of Ocean Inherent Optical Properties and Biogeochemical Properties Utilizing the Capabilities of PACE
Mitchell, B.G., Kahru, M., and Vasilkov, A. (16-Jan-18). Click here to view this presentation with audio.
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Improving IOP Measurement Uncertainties for PACE Ocean Color Remote Sensing Applications
Sullivan, J., Twardowski, M., Moore, T., McKee, D., Röttgers, R., and Stockley, N. (16-Jan-18). Click here to view this presentation with audio.
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Improving Retrieval of IOPs from Ocean Color Remote Sensing Through Explicit Consideration of the Volume Scattering Function
Twardowski, M. and Tonizzo, A. (16-Jan-18). Click here to view this presentation with audio.
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Land and Ocean Versions of ATREM Codes for Processing Hyperspectral Imaging Data Sets
Gao, B-C. and Li, R-R. (16-Jan-18)
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Ocean Color Hyperspectral Model, IOPs, UV and PACE
Maritorena, S. (16-Jan-18). Click here to view this presentation with audio.
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PACE Applications to Case II Waters: Backscatter Response to Particle Composition and Morphology
Ackleson, S. and Moses, W. (16-Jan-18). Click here to view this presentation with audio.
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PACE Atmospheric Correction Focusing on Adaptation of NASA’s Heritage Algorithm
Franz, B., Ibrahim, A., Ahmad, Z., Gao, B-C., and Zhai, P. (16-Jan-18)
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PACE Cloud Team
Platnick, S., Meyer, K., Ackerman, S., Frey, R., Heidinger, A., Walther, A., Coddington, O., Pilewskie, P., Schmidt, S., Zhang, Z., Werner, F., Miller, D., and Van Diedenhoven, B. (16-Jan-18)
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PACE: How Can We Do Our Science in a Way That Will Maximize its Utility
Tzortziou, M., Omar, A., and Turner, W. (16-Jan-18). Click here to view this presentation with audio.
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Phytoplankton Composition Algorithms for PACE
Rousseaux, C. and Gregg, W. (16-Jan-18). Click here to view this presentation with audio.
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Quantified Uncertainties in Phytoplankton Absorption Coeifficients for Accurate Validation of the PACE Ocean Color Sensor: Moving Towards Retrieved Phytoplankton Functional Types (PFTs)
Roesler, C. (16-Jan-18). Click here to view this presentation with audio.
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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.
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Science Team Update on the PACE Mission
Werdell, J. (16-Jan-18)
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SpexOne for the NASA PACE Mission
Hasekamp, O., Rietjens, J., di Noia, A., Fu, G., Wu, L., Landgraf, J., Smit, M., and van Amerongen, A. (16-Jan-18)
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Understanding Natural Variability of VSFs and Its Impact on Remote Sensing Reflectance
Zhang, X., Gray, D., and Slade, W. (16-Jan-18). Click here to view this presentation with audio.

2017 Science Team Meeting

January 17-19, 2017
Harbor Beach Oceanographic Institute, Florida USA
Documents (27)
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Absorption Closure Cruise for PACE
Twardowski, M. (17-Jan-17)
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Aerosol Absorption Retrievals from Base-line OCI Observations
Remer, L., Mattoo, S., Levy, R., Torres, O., Ahmad, Z., Vanderlei, M., and Gupta, P. (17-Jan-17). Click here to view this presentation with audio.
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Applications for Societal Benefits from Atmospheric PACE Products
Omar, A. (17-Jan-17)
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Atmospheric Correction for Retrieval of Ocean Spectra from Space (ACROSS)
Chowdhary, J., Cairns, B., Knobelspiesse, K., Xu, F., Zhai, P., Frouin, R., Stamnes, S., Liu, L., Cetinic, I., Slade, W., and Mishchenko, M. (17-Jan-17). Click here to view this presentation with audio.
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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.
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Derivation of Inherent Optical Properties from Satellite Top of Atmosphere Measurements in Optically Complex Waters
Craig, S., Lee, W., and Miller, D. (17-Jan-17). Click here to view this presentation with audio.
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Development of Datasets and Algorithms for Hyperspectral IOP Products from the PACE Ocean Color Measurements
Lee, Z., Ondrusek, M., and Tufillaro, N. (17-Jan-17). Click here to view this presentation with audio.
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Improved Satellite Ocean Color Retrievals of Ocean Inherent Optical Properties and Biogeochemical Properties Utilizing the Capabilities of PACE
Mitchell, B.G., Kahru, M., and Vasilkov, A. (17-Jan-17)
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Improving IOP Measurement Uncertainties for PACE Ocean Color Remote Sensing Applications
Sullivan, J., Twardowski, M., Moore, T., McKee, D., Röttgers, R., and Stockley, N. (17-Jan-17). Click here to view this presentation with audio.
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Improving Retrieval of IOPs from Ocean Color Remote Sensing Through Explicit Consideration of the Volume Scattering Function
Twardowski, M., Sullivan, J., Tonizzo, A., Stockley, N., Freeman, S., and Slivkoff, M. (17-Jan-17). Click here to view this presentation with audio.
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Land and Ocean Versions of ATREM Codes for Processing AVIRIS-Simulated PACE Proxy Data
Gao, B-C. and Li, R-R. (17-Jan-17). Click here to view this presentation with audio.
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Ocean Color Remote Sensing Using Polarization Properties of Reflected Sunlight
Frouin, R., Gross-Colzy, L., and Ramon, D. (17-Jan-17). Click here to view this presentation with audio.
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PACE Applications to Case II Waters: Lessons Learned from a Turbid, Pacific Coast Estuary
Ackleson, S. and Moses, W. (17-Jan-17). Click here to view this presentation with audio.
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PACE Atmospheric Correction Focusing on Adaptation of NASA’s Heritage Algorithm
Franz, B., Ibrahim, A., Ahmad, Z., Healy, R., and Gao, B-C. (17-Jan-17)
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PACE Cloud Team Proposal
Platnick, S., Meyer, K., Ackerman, S., Frey, R, Heidinger, A, Walther, A., Coddington, O., Pilewskie, P., Schmidt, S., Zhang, Z., Werner, F., and Miller, D. (17-Jan-17). Click here to view this presentation with audio.
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PACE for the Human Race : Ideas for White Papers
Tzortziou, M. (17-Jan-17)
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PACE Science Team: Atmospheric Correction over Bright Water Targets with Non-negligible Radiances in the Near Infrared
Dierssen, H., Randolph, K., Garaba, S., Zhai, P., and Gao, B-C. (17-Jan-17)
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PACE: How Can We Do Our Science in a Way that Will Maximize its Utility
Tzortziou, M., Omar, A., and Turner, W. (17-Jan-17). Click here to view this presentation with audio.
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Phytoplankton Composition Algorithms for PACE
Rousseaux, C. and Gregg, W. (17-Jan-17). Click here to view this presentation with audio.
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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.
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Quantifying Uncertainties in Phytoplankton Absorption Coefficients for Accurate Validation of the PACE Ocean Color Sensor: Moving Towards Satellite Retrieved Phytoplankton Functional Types (PFTs)
Roesler, C. (17-Jan-17)
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Science Team Update on the PACE Mission
Werdell, J. (17-Jan-17)
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Subgroup Report: Database Status
Rousseaux, C. and Casey, K. (17-Jan-17)
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Subgroup Report: Proxy Datasets
Knobelspiesse, K., Franz, B., and Ibrahim, A. (17-Jan-17)
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Toward a Hyperspectral Ocean Color Model for PACE
Maritorena, S. (17-Jan-17)
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Understanding Natural Variability of VSFs and its Impact on Biogeochemical Retrieval from Ocean Color
Zhang, X., Gray, D., and Slade, W. (17-Jan-17). Click here to view this presentation with audio.
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Will OCI’s O2 A-band Channels Contain the Information Needed to Infer the Height & Thickness of an Optically Thin Layer of Absorbing Aerosols? If Not, Can a MAP Help?
Davis, A.B. and Kalashnikova, O.V. (17-Jan-17)

2016 NASA Ocean Color Research Team Meeting

May 2-4, 2016
Silver Spring, Maryland USA
Documents (3)
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Ocean Colour Signal of Climate Change
Dutkiewicz, S., Hickman, A., Jahn, O., Mouw, C., Henson, S., and Beaulieu, C. (04-May-16)
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OCRT update on the Pre-Aerosols, Clouds and ocean Ecosystems Mission
Werdell, J. (04-May-16)
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Remote Sensing of Atmosphere-Ocean Systems in the UV: How Can Polarimetery Help Distinguish Reflectance Variations Caused by Absorbing Aerosols from Variations Caused by CDOM?
Chowdhary, J. and Cairns, B. (04-May-16)

2016 Ocean Sciences Meeting

February 21-26, 2016
New Orleans, Louisiana USA
Documents (16)
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A Novel Scoring Metrics for Quality Assurance of Ocean Color Observations
Wei, J. (26-Feb-16). Interpretation of the ocean bio-optical properties from ocean color observations depends on the quality of the ocean color data, specifically the spectrum of remote sensing reflectance (Rrs). The in situ and remotely measured Rrs spectra are inevitably subject to errors induced by instrument calibration, sea-surface correction and atmospheric correction, and other environmental factors. Great efforts have been devoted to the ocean color calibration and validation. Yet, there exist no objective and consensus criteria for assessment of the ocean color data quality. In this study, the gap is filled by developing a novel metrics for such data quality assurance and quality control (QA/QC).
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Advanced Ocean Color Sensor Observations for Retrieval of Cloud, Aerosol and Water Vapor Properties
Remer, L.A. (26-Feb-16). While the next generation of ocean color sensors offers enhanced capability to retrieve ocean parameters and to advance ocean science, these sensors also offer enhanced capability for observing atmospheric parameters, as well. In particular advanced ocean color sensors are expected to broaden the spectral range to include bands from the UV to the SWIR, inclusive on a single instrument that will observe aquatic, terrestrial and atmospheric targets with the same geometry, same spatial resolution, and similar calibration strategies across the entire spectrum.
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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.
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An Accurate Absorption-Based Net Primary Production Model for the Global Ocean
Silsbe, G., Westberry, T.K., Behrenfeld, M.J., Halsey, K., and Milligan, A. (26-Feb-16). As a vital living link in the global carbon cycle, understanding how net primary production (NPP) varies through space, time, and across climatic oscillations (e.g. ENSO) is a key objective in oceanographic research. The continual improvement of ocean observing satellites and data analytics now present greater opportunities for advanced understanding and characterization of the factors regulating NPP.
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Assessing the Impacts of Ocean Acidification on Phytoplankton Functional Types from Space - A Case Study for the Amazon River Plume (Poster)
Goes, J.I., Gomes, H.R., McKee, K., Galina, T., Chen, T.L., Turkowsky, M.D., and Yager, P.L. (26-Feb-16). As human activities continue to raise the levels of atmospheric and oceanic CO2, we require a clearer understanding of the responses of plankton to these increases and better ways to detect the global impacts of anthropogenic change on marine ecosystems.
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Assessing the Impacts of Ocean Acidification on Phytoplankton Functional Types from Space - A Case Study for the Amazon River Plume (Presentation)
Goes, J.I., Gomes, H.R., McKee, K., Galina, T., Chen, T.L., Turkowsky, M.D., and Yager, P.L. (26-Feb-16). As human activities continue to raise the levels of atmospheric and oceanic CO2, we require a clearer understanding of the responses of plankton to these increases and better ways to detect the global impacts of anthropogenic change on marine ecosystems.
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Community Composition, Biomass and Photosynthetic Competency of Phytoplankton Associated with Microscale Features and Frontal Zones of the Gulf Stream
Jenkins, C.A., Goes, J.I., Gomes, H.R., Chekalyuk, A.M., Arnone, R., and Tufillaro, N.B. (26-Feb-16). Frontal zones and microscale oceanographic features are easily observable from satellite measurements of SST and Chl a. Enhancing the utility of these space borne measurements for biological productivity, biogeochemical cycling and fisheries studies, will require novel bio-optical methods capable of providing information on the community structure, biomass and photo-physiology of phytoplankton, especially in regions where these smaller but prominent oceanographic features exist.
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Evaluation of Bio-optical Models for Discriminating Phytoplankton Functional Types and Size Classes in Eastern U.S. Coastal Waters with Approaches to Remote Sensing Applications
Neeley, A.R., Goes, J.I., Jenkins, C.A., and Harris, L. (26-Feb-16). Phytoplankton species can be separated into phytoplankton functional types (PFTs) or size classes (PSCs; Micro-, Nano-, and Picoplankton). Bio-optical models have been developed to use satellite-derived products to discriminate PSCs and PFTs, a recommended field measurement for the future NASA PACE mission.
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Improving Methods for Assessing Reflectance Due to Whitecaps and Foam from Ocean Color Imagery
Dierssen, H.M., Randolph, K.L., Garaba, S.P. (26-Feb-16). The standard ocean color atmospheric correction algorithms have a simplistic method for treating whitecaps and foam that relies upon wind speed. However, large variability exists in the relationship between wind speed and whitecap coverage, as well as the amount of reflectance associated with whitecap and foam features. Here, field measurements of the Lambertian Equivalent Reflectance (LER) of whitecaps and foam made from the visible into the short wave infrared (350-2500 nm) are presented.
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Merging Ocean Color and Physical Argo Data to Extend Bio-optical Properties to Depth Using Neural Networks: A Global 3D View of Phytoplankton Biomass and Phytoplankton Communities Composition
Sauzede, R., Claustre, H., Jamet, C., Uitz, J., Dall'Olmo, G., D'Ortenzio, F., Gentili, B., Poteau, A., and Schmechtig, C. (26-Feb-16). Ocean color observations enable the estimation of bio-optical proxies of phytoplankton biomass (e.g. chlorophyll a concentration, Chla, and particulate backscattering coefficient, bbp) in the surface layer of the ocean quasi-synoptically. In parallel, the Argo program distributes vertical profiles of the ocean physical properties with a global coverage and a high spatio-temporal resolution (every 10 days for ~3°x3° area).
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Optical Signatures of Climate Change Impacts on Phytoplankton
Dutkiewicz, S., Hickman, A.E., Jahn, O., and Moneir, E. (26-Feb-16). The ocean marine ecosystems will alter as a consequence of climate change, with ecological and biogeochemical ramifications. Here we use an earth system model which includes marine biogeochemistry and ecosystem, as well as important optical constituents such as coloured dissolved organic matter (CDOM), non-algal particles (NAP) as well as an optically diverse set of phytoplankton types. Importantly, the light field is spectrally resolved and the model outputs surface reflectance similar to that measured by ocean colour satellites. We study the trends over the 21st century in ecologically and biogeochemically important metrics such as primary production and plankton community structure, and in particular how these can be captured by reflectance and other optical characteristics.
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Phytoplankton Physiology from Satellite Chlorophyll Fluorescence
Westberry, T.K. and Behrenfeld, M.J. (26-Feb-16). Fluorescence from the chlorophyll pigment is the only unambiguous signal measured from satellite that can be exclusively attributed to phytoplankton. However, developing a comprehensive understanding of factors regulating satellite-derived fluorescence has been difficult.
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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.
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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.
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Using Multispectral, Multiangle Polarimetric Remote Sensing Observation for Ocean Color Retrievals: Studies Performed for the Pre-Aerosol, Clouds, and ocean Ecosystem (PACE) Mission
Chowdhary, J., Knobelspiesse, K.D., and Cairns, B. (26-Feb-16). The high sensitivity of polarized light scattered by suspended particles to the properties of these particles has successfully been exploited during the last 40+ years to obtain unique information of aerosols in planetary atmospheres from polarimetry. In addition, promising results have been obtained regarding the sensitivity of polarimetric observations to the properties of marine particulates. This has led to the consideration of adding a polarimeter to the PACE mission. Here, we discuss 3 types of polarization studies performed for this mission.
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Using Satellite Derived Size-fractionated Primary Production Estimates to Estimate Fisheries Production Potential in the Northeast US Continental Shelf
Hyde, K. and Fogarty, M.J. (26-Feb-16). Advances in satellite derived phytoplankton size class and functional type models have broadened the fisheries application possibilities of ocean color remote sensing. Here we partition phytoplankton biomass and primary production into microplankton and nano-picoplankton size classes for use in a bottom-up approach to estimate fisheries production and exploitation rate potentials.

2016 Science Team Meeting

January 20-21, 2016
Pasadena, California USA
Documents (29)
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A Global Database of High Horizontal Resolution IOPs for Validation of Remotely Sensed Ocean Color
Boss, E. (21-Jan-16)
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Aerosol Absorption Retrievals from Base-Line OCI Observations: Risk Reduction for Atmospheric Correction of the PACE Mission
Remer, L., Mattoo, S., Levy, R., Torres, O., Ahmad, Z., Martins, V., and Gupta, P. (21-Jan-16)
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Atmospheric Correction for Retrieval of Ocean Spectra from Space (ACROSS)
Chowdhary, J. (20-Jan-16)
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Atmospheric Correction Over Bright Water Targets with Non-Negligible Radiances in the Near Infrared
Dierssen, H., Randolph, K., Garaba, S., Russell, B., and Bateman, T. (20-Jan-16)
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Available Datasets with Polarimeter Data
Chowdhary, J., Franz, B., Guild, L., Knobelspiesse, K., and Palacios, S. (21-Jan-16)
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Bayesian Methodology for Atmospheric Correction of PACE Ocean-Color Imager
Frouin, R. (20-Jan-16)
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Benchmark Polarized Modeling
Chowdhary, J. (21-Jan-16)
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Derivation of Inherent Optical Properties from Satellite Top of Atmosphere Measurements in Optically Complex Waters
Craig, S. and Lee, Z. (21-Jan-16)
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Development of Datasets and Algorithms for Hyperspectral IOP Products from the PACE Ocean Color Measurements
Lee, Z., Onderusek, M., and Tufillaro, N. (20-Jan-16)
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Environmental Methodology
Ackleson, S. (21-Jan-16)
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Evaluation of UV Atmospheric Correction in the Presence of Absorbing Aerosols, and Quantification of Enhancements Provided by Multiangle, Polarimetric and Oxygen A-Band Observations
Kalashnikova, O. (20-Jan-16)
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Hyperspectral and Multispectral Atmospheric Correction Algorithms for Supporting the NASA PACE Mission
Gao, B-C. and Li, R-R. (21-Jan-16)
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Implementing Heritage AC Algorighm for Hyperspectral Rrs Retrieval
Ibraham, A., Franz, B., Ahmad, Z., Healy, R., and Gao, B-C. (21-Jan-16)
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Improved Satellite Ocean Color Retrievals of Ocean Inherent Optical Properties and Biogeochemical Properties Utilizing the Capabilities of PACE
Mitchell, G. and Kahru, M. (21-Jan-16)
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Improving IOP Measurement Uncertainties for PACE Ocean Color Remote Sensing Applications
Sullivan, J. (21-Jan-16)
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Improving Retrieval of IOPs from Ocean Color Remote Sensing Through Explicit Consideration of the Volume Scattering Function
Twardowski, M., Sullivan, J., Tonizzo, A., Stockley, N., Freeman, S., and Slivkoff, M. (21-Jan-16)
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Inversions for Rrs to IOP: State-of-the-Art
McKinna, L. and Werdell, J. (21-Jan-16)
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Maximizing the Societal Benefits of PACE Atmospheric Data by Actively Linking the Mission to its Applications
Omar, A. (20-Jan-16)
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Maximizing the Societal Benefits of PACE IOP Data by Actively Linking the Mission to its Applications
Tzortziou, M., Omar, A., and Turner, W. (20-Jan-16)
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PACE Applications to Case II Waters: Quantifying the Uncertainty in Inherent Optical and Water Constituent Properties and the Impact On Remotely Sensed Ocean Color
Ackleson, S. (20-Jan-16)
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PACE Project Update
Werdell, J. (20-Jan-16)
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PACE, UV and IOPs
Maritorena, S. and Siegel, D.A. (20-Jan-16)
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Phytoplankton Composition Algorithms for PACE
Rousseaux, C. and Gregg, W. (20-Jan-16)
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Polarimeter Report and its Conclusion - Polarimetry or Multi-angle Studies, in Progress
Remer, L. (20-Jan-16)
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Pre-Aerosol, Clouds and ocean Ecosystem (PACE) Science Team Meeting
Bontempi, P. (20-Jan-16)
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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)
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Quantifying Uncertainties in Phytoplankton Absorption Coefficients for Accurate Validation of the PACE Ocean Color Sensor: Moving Towards Satellite Retrieved Phytoplankton Functional Types (PFTs)
Roesler, C. (21-Jan-16)
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Retrieval Studies in Support of Cloud Property Products from the PACE Ocean Color Imager
Platnick, S. (20-Jan-16)
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Understanding Natural Variability of VSFs and Its Impact on Biogeochemical Retrieval from Ocean Color
Zhang, X. (20-Jan-16)

2015 Science Team Meeting

January 14-16, 2015
College Park, Maryland USA
Documents (28)
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4 System Vicarious Calibration for PACE Mission
Bontempi, P. and Ghuman, P. (16-Jan-15)
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A Global Database of High Horizontal Resolution IOPs for Validation of Remotely Sensed Ocean Color
Boss, E. (14-Jan-15)
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Aerosol Absorption Retrievals from Base-Line OCI Observations: Risk Reduction for Atmospheric Correction of the PACE Mission
Remer, L., Levy, R., Torres, O., Ahmad, Z., and Mattoo, S. (14-Jan-15)
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Atmospheric Correction Discussion : Where We are Today, and Where We Might be in 2.5 Years
Franz, B. (15-Jan-15)
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Atmospheric Correction for Retrieval of Ocean Spectra from Space (ACROSS)
Chowdhary, J. (14-Jan-15)
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Atmospheric Correction Over Bright Water Targets with Non-Negligible Radiances in the Near Infrared
Dierssen, H., Randolph, K., Russell, B., and Garaba., S. (14-Jan-15)
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Bayesian Methodology for Atmospheric Correction of PACE Ocean Color
Frouin, R. and Pelletier, B. (14-Jan-15)
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Derivation of Inherent Optical Properties from Satellite Top of Atmosphere Measurements in Optically Complex Waters
Craig, S. (14-Jan-15)
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Development of Datasets and Algorithms for Hyperspectral IOP Products from PACE Ocean Color Measurements
Lee, Z. (14-Jan-15)
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Evaluation of UV Atmospheric Correction in the Presence of Absorbing Aerosols and Quantification of Enhancements Provided by Multiangle Polarimetric and Oxygen A-Band Observations
Kalashnikova, O. (14-Jan-15)
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How Can Multiangle Polarimetry Help the PACE Mission?
Chowdhary, J. (16-Jan-15)
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How Can We Do Our Science in a Way that Will Maximize its Utility?
Tzortziou, M. (16-Jan-15)
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How Useful Will the PACE UV Bands Be for the IOP Retrievals and Atmospheric Correction?
Maritorena, S. and Siegel, D.A. (14-Jan-15)
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Hyperspectral and Multispectral Atmospheric Correction Algorithms Supporting the NASA PACE Mission
Gao, B-C. (14-Jan-15)
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Improved Satellite Ocean Color Retrievals of Ocean Inherent Optical Properties and Biogeochemical Properties Utilizing the Capabilities of PACE
Mitchell, G. and Kahru, M. (14-Jan-15)
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Improving IOP Measurement Uncertainties for PACE Ocean Color Remote Sensing Applications
Sullivan, J., Twardoswski, M. and Moore, T. (14-Jan-15)
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Improving Retrieval of IOPs from Ocean Color Remote Sensing Through Explicit Consideration of the VSF
Twardowski, M. and Sullivan, J. (14-Jan-15)
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Inversion of Rrs to IOPs: Where We are & Where We (Might) Want to Go
Werdell, J. (15-Jan-15)
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Maximizing the Societal Benefits of PACE Atmospheric Data by Actively Linking the Mission to its Applications
Omar, A. and Tzortziou, M. (14-Jan-15)
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Maximizing the Societal Benefits of PACE IOP Data by Actively Linking the Mission to its Applications
Tzortziou, M. and Omar, A. (14-Jan-15)
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PACE Applications to Case II Waters: Quantifying the Uncertainty in Inherent Optical and Water Constituent Properties and the Impact On Remotely Sensed Ocean Color
Ackleson, S. (14-Jan-15)
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Phytoplankton Composition Algorithms for PACE
Rousseaux, C. and Gregg, W. (14-Jan-15)
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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)
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Quantifying Uncertainties in Phytoplankton Absorption Coefficients for Accurate Validation of the PACE Ocean Color Sensor: Moving Towards Satellite Retrieved Phytoplankton Functional Types (PFTs)
Roesler, C. (14-Jan-15)
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Report from the PACE Science Definition Team
Del Castillo, C. (14-Jan-15)
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Retrieval Studies in Support of Cloud Property Products from the PACE Ocean Color Imager
Platnick, S. (14-Jan-15)
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Status of PACE mission
Bontempi, P. (14-Jan-15)
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Understanding Natural Variability of VSFs and Its Impact on Biogeochemical Retrieval from Ocean Color
Zhang, X. (14-Jan-15)

2012 Science Definition Team Meeting

March 14-16, 2012
Arlington, Virginia USA
Documents (14)
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A-band Retrievals of Cloud Height: A Brief Overview
Marshak, A. (14-Mar-12)
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Atmospheric Contributions to PACE Observations
Massie, S. (14-Mar-12)
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Atmospheric Correction for Dust Contaminated Ocean Regions
Wang, M. and Shi, W. (14-Mar-12)
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Engineering Team
Wesenberg, R., Wu, C., Smith, J., and Mason, A. (14-Mar-12)
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Lessons Learned from GEOCAPE
Del Castillo, C. (14-Mar-12)
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Ocean Ecosystems and Biogeochemistry Measurement Requirements
Behrenfeld, M.J. (14-Mar-12)
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Overiew of Cloud Requirements in Sect. 2.4
Platnick, S. (14-Mar-12)
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PACE Aerosol Calibration/Validation
McNaughton, C. (14-Mar-12)
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PACE Atmosphere Team Summary
Platnick, S. (14-Mar-12)
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PACE Bands
Boss, E. (14-Mar-12)
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PACE Mission Update
Bontempi, P. (14-Mar-12)
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PACE Science Objectives: Aerosols
Kahn, R. (14-Mar-12)
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PACE Sensitivity Studies
Frouin, R. (14-Mar-12)
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Water-leaving Reflectance Errors Due to Factors Other than Aerosols
Diner, D.J. (14-Mar-12)

2011 Science Definition Team Meeting

November 16-18, 2011
Arlington, Virginia USA
Documents (14)
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ACE Aerosol STM
Kahn, R. (17-Nov-11)
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ACE Cloud STM
Starr, D. (17-Nov-11)
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Aerosol, Cloud, ocean Ecosystem (ACE) Mission Ocean Ecosystem Science Traceability Matrix (STM)
Behrenfeld, M. (17-Nov-11)
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Group Discussion of Ocean Color and Aerosol/Cloud Science Requirements - Ocean Ecosystem
Del Castillo, C. (17-Nov-11)
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Group Discussion of Ocean Color and Aerosol/Cloud Science Requirements - Ocean/Atmosphere Science and Ocean Color Atmospheric Correction
Del Castillo, C. (17-Nov-11)
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Group Discussion of Ocean Color and Aerosol/Cloud Science Requirements - Polarimetry
Maring, H. (17-Nov-11)
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Introduction of the PACE SDT by SDT/Meeting Goals and Objectives
Bontempi, P., Maring, H., and Turner, W. (16-Nov-11)
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IOCCG Level 1 Requirements Report
Meister, G. (17-Nov-11)
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Organization of the SDT Science and Tasks
Del Castillo, C., Maring., H., and Platnick, S. (16-Nov-11)
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PACE Mission and Flight Programs/Schedules, Reviews and Deliverables
Volz, S. (16-Nov-11)
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Summary of Action Items and Next Steps for SDT and Report
Del Castillo, C. (18-Nov-11)
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Tasking of the PACE SDT and Production of a Science and Requirements Report
Bontempi, P., Maring, H., and Turner, W. (16-Nov-11)
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Update on CNES Planning/Phase 0 Polarimeter Study
Riedi, J. (16-Nov-11)
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Welcome and Logistics
Bontempi, P., Maring, H., Edwards, B., and Turner, W. (16-Nov-11)