Dr. Antonio Mannino

Dr. Antonio Mannino

  • RESEARCH AST, OCEANOGRAPHIC STUDIES
  • 301.286.0182 | 301.286.5337
  • NASA/GSFC
  • Mail Code: 616.1
  • Greenbelt , MD 20771
  • Employer: NASA
  • Brief Bio

    Dr. Antonio Mannino, research oceanographer of the Ocean Ecology Laboratory at NASA Goddard Space Flight Center since 2002, is currently Deputy Project Scientist for Oceans on NASA’s PACE mission and Deputy Principal Investigator on the NASA GLIMR EVI-5 mission. He was previously a Mendenhall Postdoctoral Fellow research chemist at the U.S. Geological Survey. An undergraduate summer internship working in salt marshes heightened his interest in aquatic ecology, which led him to pursue graduate work in marine science. At the University of Texas (UT), Dr. Mannino studied how biogeochemical and ecological factors, such as river inputs and habitat, influence the spatial distribution and community structure of macrobenthos (seabed animals). This involved sampling by boat and GIS analysis, which instilled in him the value of combining dense multi-variate spatial observations. At UT, Mannino became interested in the carbon cycle and linking the composition of dissolved and particulate organic matter to its source. At the University of Maryland, while investigating the chemical composition, sources, and reactivity of coastal particles and dissolved materials across a river to ocean gradient, Mannino became interested in linking the optical and chemical properties for remote sensing applications. At NASA, Dr. Mannino has served as project PI, laboratory manager, lead/co-lead for the GEO-CAPE mission pre-formulation ocean science working group, MODIS and VIIRS ocean science team member, Contracting Officer Representative and PI for the Ocean Biology and Biogeochemistry field support group, chief scientist and technical officer for multiple field campaigns, liaison for NASA in developing a collaboration on ocean color with the Korean Ocean Satellite Center, science PI for IR&D and ESTO studies working to develop a geostationary ocean color sensor, and led several instrument design lab studies for NASA. Dr. Mannino has served as a member of the International Ocean Color Coordinating Working Group on geostationary ocean color requirements. He has mentored several postdoctoral researchers and numerous summer interns. Mannino has published several articles on coastal ocean color algorithm development and validation including for colored dissolved organic matter and particle absorption, dissolved organic carbon, chlorophyll-a, and phytoplankton pigments and taxonomy. His current research applies field observations, satellite data, and 3D models to study carbon cycle processes and phytoplankton diversity from rivers to oceans with greater emhasis on coastal Arctic waters. His fundamental research question focuses on how physical forcings including river discharge, ocean circulation, climate change impact the ocean’s (coastal aand global) carbon cycle and the plankton at the heart of it. The research is multi-disciplinary requiring a broad range of physical, chemical, and biological observations at various frequencies (hourly to daily to monthly to yearly), over an extended period (decadal to multi-decadal) and at relatively high spatial resolution of ~0.1 to 1 km spanning hundreds of kilometers to global scale.  Dr. Mannino’s research addresses NASA’s long-term goal to understand and protect our home planet.

    Positions/Employment

    6/2002 - Present

    Oceanographer

    NASA Goddard Space Flight Center, Greenbelt, MD Research Oceanographer  in the Ocean Ecology Laboratory is responsible for conducting research related to ocean biogeochemistry, the processing and cycling of dissolved and particulate organic matter,  the global carbon cycle, and applications as related to the utilization of marine resources. Efforts are primarily targeted toward developing capabilities to interpret remotely sensed data from NASA and other satellites and aircraft. This requires a general appreciation of a wide variety of chemical, physical, and biological problems, such as biogeochemical analyses in the laboratory and in the field, and the development of new algorithms for numerical models of the bigeochemical system.


    1/2001 - 6/2002

    Research Chemist/Mendenhall Post-Doctoral Fellow

    USGS, Reston, VA Conduct investigations on the impacts of climate variability and anthropogenic perturbations on source contributions of organic matter to estuarine sediments using lipid biomarkers and stable isotope analyses.
    3/2000 - 1/2001

    Assistant Research Scientist

    Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD Post-doctoral position investigation the chemical composition, sources and cycling of organic matter in coastal marine ecosystems.
    9/1994 - 3/2000

    Graduate Research Assistant

    Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD Graduate research investigating the chemical composition, sources and reactivity of coastal organic matter
    5/1993 - 8/1994

    Graduate Research Assistant

    University of Texast at Austin Marine Science Institute, Marine Science Institute Port Aransas, TX Graduate research studying how environmental and ecological factors influence the spatial distribution of macrobenthos community structure.
    9/1992 - 5/1993

    Teaching Assistant

    University of Texas at Austin, Austin, TX Teaching assistant for introductory course on oceanography.  Duties involved leading two weekly discussion sessions that included lectures, discussions, and homework assignments.

    Current Projects

    Impacts of estuarine processes on delivery of Arctic riverine materials to the near coastal environment: Implications for water quality and biogeochemical cycling in preparation for Arctic-COLORS

    The research objectives focusing on the lower Yukon River, delta, and adjacent Norton Sound and coastal sites in the Beaufort Sea include :

    1. Characterize and quantify changes in concentrations and composition of organic and inorganic materials from the watershed-aquatic interface and the head of tides through low salinity riverine gradients.
    2. Capture baseline conditions in riverine/estuarine chemical compositions and fluxes to the nearshore environment in support of future Arctic-COLORS research efforts.
    3. Examine changes in Arctic coastal conditions over past two decades by applying prior ocean color satellite observations along with data synthesis of past studies.
     

    Program Support Office for Calibration and Validation of Ocean Color Satellite Missions

    The overall goal of the NASA Ocean Ecology Laboratory (OEL) Field Support Group (FSG) at Goddard Space Flight Center (GSFC) is to provide basic field observation and data analysis capabilities in support of the NASA Ocean Biology and Biogeochemistry Program (OBB) and related missions. This is to be accomplished by participating in field experiments and cruises, workshops, and professional meetings in collaboration with the research community, instrument vendors, and other agencies. This project provides NASA two core elements to support its existing ocean color satellite data processing element at Goddard (Ocean Biology Processing Group): (1) a cooperative field program that advances the state-of-the-art of in- and above-water optical and biogeochemical measurements, which are critical for calibration and validation of the satellite radiometry and for development and refinement of ocean color algorithms; and, (2) a global network of partnerships, within which to share international expertise and distribute the burden of maintaining a global field program with high temporal and spatial resolution. Our work encompasses two central themes: (1) the need to quantify and refine the accuracies of field observations, with attention to both data collection and data processing; and, (2) the importance of international partnerships, the need for which gains in prominence as the likelihood of a data gap in the U.S. ocean color time-series steadily increases (both SeaWiFS and MODIS-Aqua have far exceeded their operationally-designated mission lifetimes). With regards to the former, the challenge will be to extend the accomplishments achieved in the open ocean into much shallower and optically complex waters. New mission concepts emphasize coastal research in optically complex waters and, as such, require field observations with high accuracies, sampling resolutions, sensitivities, and dynamic ranges. With regards to the latter theme, the estimation of uncertainty budgets, the refinement of protocols, the execution of interdisciplinary field campaigns and maintenance of vicarious calibration sites, and the submission of in situ data to a centralized archive have all benefitted from participation of the international community, particularly when supported and coordinated by a centralized program support office.

    Arctic-COLORS (Arctic-COastal Land Ocean inteRactions) field campaign scoping Study

    Arctic-COLORS is a field campaign scoping study funded by NASA's Ocean Biology and Biogeochemistry Program that aims to improve understanding and prediction of land-ocean interactions in a rapidly changing Arctic coastal zone, and assess vulnerability, response, feedbacks and resilience of coastal ecosystems, communities and natural resources to current and future pressures.

    Support of NASA Ocean Biology and Biogeochemistry Research with Quality-Assured HPLC Pigment Analysis

    Important Earth Observation System objectives are to quantify Chlorophyll a (Chla) in marine environments, know the measurement uncertainty and ensure data are valid over the long-term. Chla is one of the standard MODIS products produced by NASA Ocean Biology Processing Group. Most satellite missions require on-orbit accuracy to within 35%. For remote sensing validation of Chla, High Performance Liquid Chromatography (HPLC) is the reference method. Assuming total uncertainty is split evenly between satellite and field components, the HPLC accuracy for Chla must be within 25%, but accuracy within 15% (presumably) offers opportunities to improve remote sensing algorithms. Intercalibrations among laboratories (primarily the SeaHARRE (SeaWiFS HPLC Analysis Round-Robin Experiment) activities) that measure marine pigments have demonstrated that average accuracy for Total Chla to within 6-7% is possible, for laboratories that follow a quality assurance (QA) process. For other pigments, average accuracy to within 25% is possible; in many instances accuracy can be improved to 15% if methods are quality-assured.
    An important result of the SeaHARRE HPLC intercomparisons was the identification of performance criteria that allow a determination of whether a method is capable of achieving specific accuracy requirements. The GSFC Field Support Group (FSG) maintains a detailed QA plan to ensure compliance with these performance metrics established during SeaHARRE activities and consistent results in between such activities. A QA plan includes repetitive quality control measurements and routine assessment to ensure these measurements fall within quantified limits, for in the absence of such rigor, it is not possible to know whether the above-described accuracy requirements set for researchers is being achieved.
    For this project, GSFC’s FSG is providing quantitative concentration results for up to 3000 samples collected by Ocean Biology and Biogeochemistry (OBB) investigators under certain NASA grants for 12 primary pigments (including their secondary components) and selected tertiary pigments, as defined in SeaHARRE intercalibration activities, plus relevant pigment sums and ratios. Reported results will also include information about the limit of quantitation (LOQ) and measures of analysis precision at the time of data collection. This activity would provide the necessary field measurements of HPLC-derived Chla for NASA PIs to support validation and continued maintenance of the MODIS Chla algorithm.
    GSFC FSG chromatographers have consistently produced state-of-the-art pigment results, as evidenced by performance during inter-laboratory comparisons (averaging 5.2% for TChla and 11.7% for other pigments). The FSG maintains strict adherence to a HPLC QA plan, and personnel offer sixteen years of experience providing quantitative pigment analyses to multiple clients, and fourteen years of experience researching method improvements, specifically as they relate to improving accuracy and precision of results.

    USECoS: Synergistic impacts of population growth, urbanization, and climate change on watersheds and coastal ecology of the northeastern United States

    The overall goal of this project is to quantify the impacts of human population growth and associated land-use changes on the biogeochemistry and ecology of the Chesapeake and Delaware estuaries and the adjacent continental shelf waters. Our focus will be on these particular estuaries, as they are the most vulnerable in the U.S. because of the high population density in their watersheds and the high degree of climate change they are experiencing, including increases in temperature, sea level, precipitation, and precipitation intensity. To achieve this goal we will refine and link a suite of models including a terrestrial ecosystem model for the watersheds, a coupled biogeochemical-oxygen-circulation model with estuarine grids nested in a shelf model, and shellfish models for both Eastern oysters (Crassostrea virginica) and Atlantic surfclams (Spisula solidissima). We have already calibrated and evaluated these models individually with remote sensing products and historical in situ data. Here we will improve and more fully evaluate the linked modeling system through the analysis of satellite remote sensing products, including phytoplankton functional types, optical properties, and organic carbon cycling. Simulations will extend from the 1950s to the present, allowing us to identify how impacts of land-use changes and climate changes on coastal ecological processes have varied over the past 60 years. The integrated modeling system will be used to generate a core “all processes” simulation, as well as simulations representing: (1) climate only, including historical climate variability/change while keeping other variables unchanged since the 1950s; (2) land cover change and management practices only, including effects of land conversions while detrending the climate forcing and fixing other input data at 1950s values; and (3) nitrogen input only, including the changing nitrogen fertilization in cropland and nitrogen deposition impacts, while assuming that climate and land-use patterns are held constant at 1950s values. The analysis of these four simulations will allow us to satisfy our overall objective, as well as specific objectives concerning the impacts of human activity in the watershed on the riverine delivery to the coast, phytoplankton speciation, hypoxia, and shellfish. The effects of increasing human population density and resulting land-use changes on watershed processes on three broad coastal ecological endpoints will be considered:
    (1) phytoplankton speciation, representing the base of the coastal food web; (2) Eastern oysters and Atlantic surfclams, upper-trophic keystone species for the region’s estuaries and shelf waters, respectively; and (3) hypoxia, representing an index of threats to the overall health of the region’s ecology.

    Development, Production and Distribution of GOCI Data Products in Preparation for the GEO-CAPE Ocean Color Mission

    We proposed to serve as U.S. Principal Investigators (USPI) on South Korea’s groundbreaking Geostationary Ocean Color Imager (GOCI) mission. The goal of the proposed work is to accelerate the development, production and distribution of validated GOCI data products to U.S. and non-U.S. scientific communities through a strong collaboration between the GOCI team (at the Korea Institute of Ocean Science and Technology; KIOST) and Goddard Space Flight Center’s Ocean Ecology Lab, which includes the Ocean Biology Processing Group (OBPG). We will work with KIOST to accomplish the following objectives: (1) establish a mirror site to distribute GOCI L1B data within North America, (2) implement GOCI data processing and algorithms into NASA’s common data processing software (SeaDAS), (3) generate, validate and distribute NASA OBPG standard ocean color products for the duration of the GOCI mission, (5) apply field measurements to develop, validate and analyze new regional GOCI products for colored dissolved organic matter and dissolved and particulate organic carbon, (6) vicariously cross-calibrate GOCI with MODIS, (7) reprocess and archive GOCI data for standard and new NASA products, and (8) analyze GOCI data in preparation for NASA’s GEO-CAPE mission. The principal achievement of the proposed effort is to promote broad utilization of GOCI data by the U.S. and international scientific community.
    As the first and only geostationary ocean color sensor, GOCI will revolutionize satellite remote sensing of ocean biology and biogeochemistry. From the vantage point of geostationary orbit, GOCI images the 2500 x 2500 km region surrounding the Korean peninsula eight times per day. Such high frequency observations will advance our knowledge of the rates of several biological and biogeochemical processes including primary productivity, net community production and photooxidation of dissolved organic matter as well as the impacts of physical processes such as tides, eddies, surface currents, and river discharge on the distribution and fluxes of ocean constituents. Furthermore, the proposed work will enhance our understanding of how geostationary ocean color data can be applied to study ocean ecosystems in preparation for NASA’s GEO-CAPE mission.


    Research Interests

    Impacts of estuarine processes on delivery of Arctic riverine materials to the near coastal environment: Implications for water quality and biogeochemical cycling

    The research objectives focusing on the lower Yukon River, delta, and adjacent Norton Sound and coastal sites in the Beaufort Sea include : 

    1. Characterize and quantify changes in concentrations and composition of organic and inorganic materials from the watershed-aquatic interface and the head of tides through low salinity riverine gradients.
    2. Capture baseline conditions in riverine/estuarine chemical compositions and fluxes to the nearshore environment in support of future Arctic-COLORS research efforts.
    3. Examine changes in Arctic coastal conditions over past two decades by applying prior ocean color satellite observations along with data synthesis of past studies.
     

    Develop and validate bio-optical algorithms to expand the breadth of biogeochemical and biological products derived from the PACE mission

    Ocean color satellite algorithm development and validation of data products for colored dissolved organic matter absorption (CDOM), dissolved (DOC) and particulate organic carbon (POC), phytoplankton pigments and taxonomy using PACE's hyperspectral UV-Vis-NIR and high spectral resolution capabilities.

    Production and Application of Hourly Observations from the Korean Geostationary Ocean Color Imager (GOCI)

    As the first and only geostationary ocean color sensor, the Korean Geostationary Ocean Color Imager (GOCI) will revolutionize satellite remote sensing of ocean biology and biogeochemistry.  The goal of the work is to accelerate the development, production and distribution of validated GOCI data products to U.S. and non-U.S. scientific communities through a strong collaboration between the Korea Ocean Satellite Center (the Korean GOCI data processing, distribution, and analysis team) at the Korea Institute of Ocean Science and Technology (KIOST) and Goddard Space Flight Center’s Ocean Ecology Lab (OEL), which includes the Ocean Biology Processing Group (OBPG). OEL works with KOSC to accomplish the following objectives: (1) establish a mirror site to distribute GOCI L1B data to U.S. and non-U.S. scientific communities, (2) implement GOCI data processing and algorithms into NASA’s common data processing software (SeaDAS), (3) generate, validate and distribute NASA OBPG standard ocean color products for the duration of the GOCI mission, and (5) apply field measurements to develop, validate and analyze new regional GOCI products of dissolved and particulate absorption and organic carbon.  From the vantage point of geostationary orbit, GOCI images the 2500 x 2500 km region surrounding the Korean peninsula eight times per day. Such high frequency observations will advance our knowledge of the rates of several biological and biogeochemical processes including primary productivity, net community production and photooxidation of dissolved organic matter as well as the impacts of physical processes such as tides, eddies, surface currents, and river discharge on the distribution and fluxes of ocean constituents. Furthermore, this research will enhance our understanding of how geostationary ocean color data can be applied to study ocean ecosystems in preparation for future NASA geostationary ocean color missions. The principal achievement of this effort is to promote broad utilization of GOCI data by the U.S. and international scientific community.

    Arctic-COLORS: Coastal Land Ocean Interactions

    Arctic-COLORS is a NASA Ocean Biology and Biogeochemistry Program field campaign scoping study that aims to quantify the coupled biogeochemical/ecological response of the Arctic nearshore system to rapidly changing terrestrial fluxes and ice conditions, in the context of environmental and climate change.
     

    Climate variability impacts on U.S. East Coast (CliVEC)

    Examination of the impact of climate variability on primary productivity and organic carbon distributions along the northeastern U.S. continental margin.

    Application of ocean color satellite observations to study the carbon cycle and ecology of marine ecosystems.

    Application of SeaWiFS, MODIS and MERIS satellite data products to quantify the inventories and fluxes of colored dissolved organic matter absorption (CDOM), dissolved (DOC) and particulate organic carbon (POC), phytoplankton pigments and taxonomy to quantify seasonal and interannual variability in the inventories and fluxes of DOC, POC and CDOM, net ecosystem production of DOC, and phytoplankton community composition.

    Coastal biogeochemical model development and evaluation

    Contribute to the development and evaluation of the biogeochemical model developed by the NASA USECoS team (U.S. Continental Shelf). The team applies the NENA (Northeastern North America; 3D coupled biogeochemical-physical) coastal ocean model and linked terrestrial model (DLEM) to study carbon and nitrogen cycling and ecosystem dynamics along the U.S. east coast watersheds and continental margin.

    Education

    Ph.D. in Marine-Estuarine-Environmental Sciences, 2000
    University of Maryland at College Park, MD
    Research Emphasis: Chemical Composition of Particulate and Macromolecular Dissolved Organic Matter in the Delaware Estuary and Experimental Diatom Blooms: Sources and Reactivity Patterns

    M.A. in Marine Science, 1994
    University of Texas at Austin, TX
    Research Emphasis: Spatial and Biogeochemical Patterns in Benthic Community Structure

    B.A. in Environmental Science, 1992
    University of Virginia, Charlottesville, VA


    Publications

    Refereed

    Mulholland, M. R., P. W. Bernhardt, B. N. Widner, et al. C. R. Selden, P. D. Chappell, S. Clayton, A. Mannino, and K. Hyde. 2019. "High Rates of N 2 Fixation in Temperate, Western North Atlantic Coastal Waters Expand the Realm of Marine Diazotrophy." Global Biogeochemical Cycles, 2018GB006130 [10.1029/2018gb006130]

    Werdell, P. J., M. J. Behrenfeld, P. S. Bontempi, et al. E. Boss, B. Cairns, G. T. Davis, B. A. Franz, U. B. Gliese, E. T. Gorman, O. Hasekamp, K. D. Knobelspiesse, A. Mannino, J. V. Martins, C. R. McClain, G. Meister, and L. A. Remer. 2019. "The Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission: Status, science, advances." Bulletin of the American Meteorological Society, [10.1175/bams-d-18-0056.1]

    Signorini, S. R., A. Mannino, M. A. Friedrichs, et al. P. St‐Laurent, J. Wilkin, A. Tabatabai, R. G. Najjar, E. E. Hofmann, F. Da, H. Tian, and Y. Yao. 2019. "Estuarine Dissolved Organic Carbon Flux from Space: with Application to Chesapeake and Delaware Bays." Journal of Geophysical Research: Oceans, 2018JC014646 (In Press) [10.1029/2018jc014646]

    Concha, J., A. Mannino, B. Franz, and W. Kim. 2019. "Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes." Remote Sensing, 11 (3): 295 [10.3390/rs11030295]

    Concha, J., A. Mannino, B. Franz, S. Bailey, and W. Kim. 2019. "Vicarious calibration of GOCI for the SeaDAS ocean color retrieval." International Journal of Remote Sensing, 40 (10): 3984-4001 [10.1080/01431161.2018.1557793]

    Friedrichs, M. A., P. St-Laurent, Y. Xiao, et al. E. Hofmann, K. Hyde, A. Mannino, R. G. Najjar, D. A. Narváez, S. R. Signorini, H. Tian, J. Wilkin, Y. Yao, and J. Xue. 2019. "Ocean Circulation Causes Strong Variability in the Mid-Atlantic Bight Nitrogen Budget." Journal of Geophysical Research: Oceans, 124 (1): 113-134 [10.1029/2018jc014424]

    Aurin, D., A. Mannino, and D. Lary. 2018. "Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global Ocean." Applied Sciences, 8 (12): 2687 [10.3390/app8122687]

    Novak, M. G., I. Cetinić, J. E. Chaves, and A. Mannino. 2018. "The adsorption of dissolved organic carbon onto glass fiber filters and its effect on the measurement of particulate organic carbon: A laboratory and modeling exercise." Limnology and Oceanography: Methods, [10.1002/lom3.10248]

    Muller-Karger, F. E., E. Hestir, C. Ade, et al. K. Turpie, D. A. Roberts, D. Siegel, R. J. Miller, D. Humm, N. Izenberg, M. Keller, F. Morgan, R. Frouin, A. G. Dekker, R. Gardner, J. Goodman, B. Schaeffer, B. A. Franz, N. Pahlevan, A. G. Mannino, J. A. Concha, S. G. Ackleson, K. C. Cavanaugh, A. Romanou, M. Tzortziou, E. S. Boss, R. Pavlick, A. Freeman, C. S. Rousseaux, J. Dunne, M. C. Long, E. Klein, G. A. McKinley, J. Goes, R. Letelier, M. Kavanaugh, M. Roffer, A. Bracher, K. R. Arrigo, H. Dierssen, X. Zhang, F. W. Davis, B. Best, R. Guralnick, J. Moisan, H. M. Sosik, R. Kudela, C. B. Mouw, A. H. Barnard, S. Palacios, C. Roesler, E. G. Drakou, W. Appeltans, and W. Jetz. 2018. "Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems." Ecological Applications, 28 (3): 749-760 [10.1002/eap.1682]

    Najjar, R. G., M. Herrmann, R. Alexander, et al. E. W. Boyer, D. Burdige, D. Butman, W.-J. Cai, E. A. Canuel, R. F. Chen, M. A. Friedrichs, R. A. Feagin, P. Griffith, A. L. Hinson, J. R. Holmquist, X. Hu, W. M. Kemp, K. D. Kroeger, A. Mannino, S. L. McCallister, W. R. McGillis, M. R. Mulholland, C. Pilskaln, J. Salisbury, S. Signorini, P. St-Laurent, H. Tian, M. Tzortziou, P. Vlahos, Z. A. Wang, and R. C. Zimmerman. 2018. "Carbon budget of tidal wetlands, estuaries, and shelf waters of Eastern North America." Global Biogeochemical Cycles, 32: [10.1002/2017gb005790]

    Vandermeulen, R. A., A. Mannino, A. Neeley, J. Werdell, and R. Arnone. 2017. "Determining the optimal spectral sampling frequency and uncertainty thresholds for hyperspectral remote sensing of ocean color." Optics Express, 25 (16): A785 [10.1364/oe.25.00a785]

    Robinson, W. D., B. A. Franz, A. Mannino, and J.-H. Ahn. 2016. "Cloud motion in the GOCI/COMS ocean colour data." International Journal of Remote Sensing, 37 (20): 4948-4963 [10.1080/01431161.2016.1225177]

    Mannino, A., S. R. Signorini, M. G. Novak, et al. J. Wilkin, M. A. Friedrichs, and R. G. Najjar. 2016. "Dissolved organic carbon fluxes in the Middle Atlantic Bight: An integrated approach based on satellite data and ocean model products." J. Geophys. Res. Biogeosci., 121 (2): 312-336 [10.1002/2015jg003031]

    Salisbury, J., D. Vandemark, B. Jönsson, et al. W. Balch, S. Chakraborty, S. Lohrenz, B. Chapron, B. Hales, A. Mannino, J. Mathis, N. Reul, S. Signorini, R. Wanninkhof, and K. Yates. 2015. "How Can Present and Future Satellite Missions Support Scientific Studies that Address Ocean Acidification?" Oceanog, 25 (2): 108-121 [10.5670/oceanog.2015.35]

    Mannino, A., M. G. Novak, S. B. Hooker, K. Hyde, and D. Aurin. 2014. "Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern U.S. coast." Remote Sensing of Environment, 152: 576–602 [10.1016/j.rse.2014.06.027]

    Signorini, S., A. Mannino, R. G. Najjar Jr., et al. M. A. Friedrichs, W.-J. Cai, J. Salisbury, Z. A. Wang, H. Thomas, and E. Shadwick. 2013. "Surface ocean pCO2 seasonality and sea-air CO2 flux estimates for the North American east coast." Journal of Geophysical Research, 118 (10): 5439-5460 [10.1002/jgrc.20369]

    Aurin, D., A. Mannino, and B. Franz. 2013. "Spatially resolving ocean color and sediment dispersion in river plumes, coastal systems, and continental shelf waters." Remote Sensing of Environment, 137: 212–225 [10.1016/j.rse.2013.06.018]

    Peloquin, J., C. Swan, N. Gruber, et al. M. Vogt, H. Claustre, J. Ras, J. Uitz, R. Barlow, M. Behrenfeld, R. Bidigare, H. Dierssen, G. Ditullio, E. Fernandez, C. Gallienne, S. Gibb, R. Goericke, L. Harding, E. Head, P. Holligan, S. B. Hooker, D. Karl, M. Landry, R. Letelier, C. Llewellyn, M. Lomas, M. Lucas, A. Mannino, J. Marty, B. Mitchell, F. Muller-Karger, N. Nelson, C. OBrien, B. Prezelin, W. Repeta, W. Repeta, W. Repeta, D. Smythe-Wright, R. Stumpf, A. Subramaniam, K. Suzuki, C. Trees, M. Vernet, N. Wasmund, and S. Wright. 2013. "The MAREDAT global database of high performance liquid chromatography marine pigment measurements." Earth System Science Data, 5 (1): 109-123 [10.5194/essd-5-109-2013]

    Hu, C., F. Lian, Z. Lee, et al. C. Davis, A. Mannino, C. R. Mc Clain, and B. A. Franz. 2012. "On the signal-to-noise ratio and product uncertainty of satellite ocean color measurements." Proc. Ocean Optics XXI,

    Fishman, J., L. T. Iraci, J. Al-Saadi, et al. K. V. Chance, F. Chavez, M. Chin, P. Coble, C. Davis, P. M. DiGiacomo, D. Edwards, A. Eldering, J. Goes, J. R. Herman, C. Hu, D. J. Jacob, C. Jordan, S. R. Kawa, R. Key, X. Liu, S. Lohrenz, A. Mannino, V. Natraj, D. Neil, J. Neu, M. Newchurch, K. Pickering, J. Salisbury, H. Sosik, A. Subramaniam, M. Tzortziou, J. Wang, and M. Wang. 2012. "The United States' Next Generation of Atmospheric Composition and Coastal Ecosystem Measurements: NASA's Geostationary Coastal and Air Pollution Events (GEO-CAPE) Mission." Bulletin of the American Meteorological Society, 93 (10): 1547-1566 [Full Text (Link)] [10.1175/BAMS-D-11-00201.1]

    Hu, C., L. Feng, Z. Lee, et al. C. O. Davis, A. Mannino, C. R. McClain, and B. A. Franz. 2012. "Dynamic range and sensitivity requirements of satellite ocean color sensors: learning from the past." Applied Optics, 51 (25): 6045 [10.1364/AO.51.006045]

    Mulholland, M., P. Bernhardt, J. Blanco-Garcia, et al. A. Mannino, K. Hyde, E. Mondragon, K. Turk, P. Moisander, and J. Zehr. 2012. "Rates of dinitrogen fixation and the abundance of diazotrophs in North American coastal waters between Cape Hatteras and Georges Bank." Limnology and Oceanography, 57 (4): 1067-1083.

    Pan, X., A. Mannino, H. G. Marshall, K. C. Filippino, and M. R. Mulholland. 2011. "Remote sensing of phytoplankton community composition along the northeast coast of the United States." Remote Sensing of Environment, 115: 3731-3747 [10.1016/j.rse.2011.09.011]

    Garcia, C. A., V. M. Garcia, A. Dogliotti, et al. A. Ferreira, S. Romero, A. Mannino, M. Souza, and M. Mata. 2011. "Environmental conditions and bio-optical signature of a coccolithophorid bloom in the Patagonian shelf." J. Geophys. Res., 116 (C3): C03025 [10.1029/2010JC006595]

    Hofmann, E., B. Cahill, K. Fennel, et al. M. A. Friedrichs, K. Hyde, C. Lee, A. Mannino, R. Najjar, J. O’Reilly, J. Wilkin, and J. Xue. 2011. "Modeling the Dynamics of Continental Shelf Carbon." Annual Review of Marine Science, 3: 93-122.

    Druon, J., A. Mannino, S. R. Signorini, et al. C. R. McClain, M. Friedrichs, J. Wilken, and K. Fennel. 2010. "Modeling the dynamics and export of dissolved organic matter in the northeastern U.S. continental shelf.." Estuarine Coastal and Shelf Science, 88: 488-507.

    Pan, X., A. Mannino, M. Russ, S. Hooker, and L. Harding. 2010. "Remote sensing of phytoplankton pigment distribution in the United States northeast coast." Remote Sensing of Environment, 114 (11): 2403-2416 [10.1016/j.rse.2010.05.015]

    Hofmann, E., J. Druon, K. Fennel, et al. M. Friedrichs, D. Haidvogel, C. Lee, A. Mannino, C. R. Mcclain, R. Najjar, J. O'Reilly, D. Pollard, M. Previdi, S. Seitzinger, J. Siewert, S. Signorini, and J. Wilkin. 2008. "Eastern US Continental Shelf Carbon Budget: Integrating Models, Data Assimilation, and Analysis." Oceanography, 21 (1): 86-104 [10.5670/oceanog.2008.70]

    Pan, X., A. Mannino, M. Russ, and S. Hooker. 2008. "Remote sensing of the absorption coefficients and chlorophyll a concentration in the United States southern Middle Atlantic Bight from SeaWiFS and MODIS-Aqua." J. Geophys. Res., 113 (C11): C11022 [10.1029/2008JC004852]

    Mannino, A., M. Russ, and S. Hooker. 2008. "Algorithm development and validation for satellite-derived distributions of DOC and CDOM in the U.S. Middle Atlantic Bight." J Geophys Res, 113 (C7): C07051 [10.1029/2007JC004493]

    Cottrell, M., A. Mannino, and D. Kirchman. 2006. "Aerobic anoxygenic phototrophic bacteria in the Middle Atlantic Bight and the North Pacific Gyre." Applied Environmental Microbiology, 72: 557-564.

    Esper, J., J. Gervin, F. Kirchman, et al. E. M. Middleton, R. G. Knox, W. Gregg, A. Mannino, C. R. Mcclain, J. Herman, and F. G. Hall. 2005. "Low/medium density biomass, coastal and ocean carbon: a carbon cycle mission." Acta Astro, 56: 25-34.

    Mannino, A., and H. R. Harvey. 2004. "Black carbon in estuarine and coastal ocean dissolved organic matter." Limnol Oceanogr, 49 (3): 735-740 [10.4319/lo.2004.49.3.0735]

    Harvey, H. R., and A. Mannino. 2001. "The chemical composition and cycling of particulate and macromolecular dissolved organic matter in temperate estuaries as revealed by molecular organic tracers." Organic Geochemistry, 32: 527-542.

    Mannino, A., and H. R. Harvey. 2000. "Biochemical composition of dissolved organic matter along an estuarine gradient: sources and implications for DOM reactivity." Limnology and Oceanography, 45: 775-788.

    Mannino, A., and H. R. Harvey. 2000. "Terrigenous dissolved organic matter along an estuarine gradient and its flux to the coastal ocean." Organic Geochemistry, 31: 1611-1625.

    Mannino, A., and H. R. Harvey. 1999. "Lipid composition in particulate and dissolved organic matter in the Delaware Estuary: sources and diagenetic patterns." Geochimica et Cosmochimica Acta, 63: 2219-2235.

    Mannino, A., and P. A. Montagna. 1997. "Small-scale spatial variation of macrobenthic community structure." Estuaries, 20: 159-173.

    Non-Refereed

    Ondrusek, M., V. P. Lance 1962-, M. Wang, et al. R. A. Arnone 1949-, S. Ladner, W. Goode, R. Vandermeulen, S. Freeman, J. E. Chaves, A. Mannino, A. Gilerson, S. Ahmed, C. Carrizo, A. El-Habashi, R. Foster, M. Ottaviani, J. I. Goes, H. D. Gomes, K. McKee, C. Hu, C. Kovach, D. English, J. Cannizzaro, B. C. Johnson, Z. Lee, J. Wei, Q. Wang, J. Lin, N. Tufillaro, J. Nahorniak, C. O. Davis, and K. J. Voss. 2016. "Report for dedicated JPSS VIIRS Ocean Color December 2015 Calibration/Validation Cruise." NOAA technical report NESDIS [http://doi.org/10.7289/V5/TR-NESDIS-148]

    Professional Service

    Lead/co-lead NASA GEO-CAPE (GEOstationary Coastal and Air Pollution Events) mission pre-formulation Ocean Science Working Group (SWG) from 2009 to present.

    Member of the GEO-CAPE Mission Design Coordination group (leadership team for mission pre-formulation) to advance the mission from 2010 to present.

    Peer review panel member for NASA programs.

    Peer reviewer for various scientific journals including Journal of Geophysical Research, Remote Sensing of Environment, Limnology & Oceanography, Biogeosciences, Journal of Marine Research, Organic Geochemistry, Geochimica et Cosmochimica Acta, Marine Chemistry, and Estuarine and Coastal Shelf Science.

    Member of the International Ocean Color Coordinating Group (IOCCG) working group developing requirements for geostationary ocean color sensors from 2008 to 2013.

    Member of NOAA’s Coastal Ocean Applications Science Team for GOES-R from 2005 to 2006.

    Other Professional Information

    Mentorship of Postdoctoral Scholars
    2011-2014 Mentoring Dr. Dirk Aurin, postdoctoral researcher (SSAI)
    2010-2012 Mentored Dr. Veronica Lance-Peterson, postdoctoral researcher (SSAI)
    2007-2009 Mentored Dr. Xiaoju Pan, postdoctoral researcher (NASA Postdoctoral Fellow)
    2005-2006 Mentored Dr. Mary Russ, postdoctoral researcher (UMBC-GEST)

    Graduate Committee Member
    2010-2013 Dissertation committee member for Yongjin Xiao, Ph.D. student at Virginia Institute of Marine Science
    2006-2008 Dissertation committee member for Katherine Filippino, Ph.D. student at Old Dominion University

    Mentorship of Student Interns
    2011-2012 Mentored undergraduate student Robert Jenkens through Goddard summer intern programs
    2010 Mentored undergraduate student, Amanda Hyde, through summer Research & Discover Program
    2009 Mentored undergraduate student Olivia De Meo through summer Research & Discover Program
    2007 Mentored undergraduate Shelly Tkach through GSFC Summer Intern Program
    2005-2006 Mentored student from Paint Branch High School
    2005 Mentored undergraduate Heather Throckmorton through summer Maine Space Grant
    2003 Mentored undergraduate Chris Bareither through GSFC Student Intern Program


    Special Experience

    LEADERSHIP EXPERIENCE AND ROLES
    2013-present PI and Contracting Officer Representative (COR) for the NASA Ocean Biology and Biogeochemistry (OBB) Field Support Program Office.

    2012-present GSFC science point of contact with HQ for GEO-CAPE mission pre-formulation activities.

    2009-present Lead/co-lead GEO-CAPE Ocean Science Working Group.

    2010-present Science lead for HQ-supported GEO-CAPE ocean color instrument and mission design studies.

    2011-present PI/Science lead for GSFC GEO-CAPE ocean color IRAD instrument studies.

    2005-present Chief Scientist on 8 multi-investigator oceanographic field campaigns


    OCEANOGRAPHIC FIELD EXPERIENCE (past 5 years)
    2013 Chief Scientist for GEO-CAPE oceanographic field campaign in the northern Gulf of Mexico (GoMEX) – Sept. 9-22.

    2011 Chief Scientist for GEO-CAPE oceanographic field campaign in Chesapeake Bay (CBODAQ) – July 11-20.

    2009-2010 NASA science lead for three NOAA Ecosystem Monitoring cruises along northeastern U.S. continental margin – May 26-June 9, 2010; Nov. 3-20 and Aug. 17-28, 2009).

    2008 Antarctic Expedition around the Antarctic Peninsula sponsored by the Brazilian Research and Development Agency (CNPq) and the Brazilian Antarctic Program (PROANTAR) – Feb. 21-March 4.



    Professional Societies

    American Geophysical Union, 2002 - Present

    Brief Bio

    Dr. Antonio Mannino, research oceanographer of the Ocean Ecology Laboratory at NASA Goddard Space Flight Center since 2002, is currently Deputy Project Scientist for Oceans on NASA’s PACE mission and Deputy Principal Investigator on the NASA GLIMR EVI-5 mission. He was previously a Mendenhall Postdoctoral Fellow research chemist at the U.S. Geological Survey. An undergraduate summer internship working in salt marshes heightened his interest in aquatic ecology, which led him to pursue graduate work in marine science. At the University of Texas (UT), Dr. Mannino studied how biogeochemical and ecological factors, such as river inputs and habitat, influence the spatial distribution and community structure of macrobenthos (seabed animals). This involved sampling by boat and GIS analysis, which instilled in him the value of combining dense multi-variate spatial observations. At UT, Mannino became interested in the carbon cycle and linking the composition of dissolved and particulate organic matter to its source. At the University of Maryland, while investigating the chemical composition, sources, and reactivity of coastal particles and dissolved materials across a river to ocean gradient, Mannino became interested in linking the optical and chemical properties for remote sensing applications. At NASA, Dr. Mannino has served as project PI, laboratory manager, lead/co-lead for the GEO-CAPE mission pre-formulation ocean science working group, MODIS and VIIRS ocean science team member, Contracting Officer Representative and PI for the Ocean Biology and Biogeochemistry field support group, chief scientist and technical officer for multiple field campaigns, liaison for NASA in developing a collaboration on ocean color with the Korean Ocean Satellite Center, science PI for IR&D and ESTO studies working to develop a geostationary ocean color sensor, and led several instrument design lab studies for NASA. Dr. Mannino has served as a member of the International Ocean Color Coordinating Working Group on geostationary ocean color requirements. He has mentored several postdoctoral researchers and numerous summer interns. Mannino has published several articles on coastal ocean color algorithm development and validation including for colored dissolved organic matter and particle absorption, dissolved organic carbon, chlorophyll-a, and phytoplankton pigments and taxonomy. His current research applies field observations, satellite data, and 3D models to study carbon cycle processes and phytoplankton diversity from rivers to oceans with greater emhasis on coastal Arctic waters. His fundamental research question focuses on how physical forcings including river discharge, ocean circulation, climate change impact the ocean’s (coastal aand global) carbon cycle and the plankton at the heart of it. The research is multi-disciplinary requiring a broad range of physical, chemical, and biological observations at various frequencies (hourly to daily to monthly to yearly), over an extended period (decadal to multi-decadal) and at relatively high spatial resolution of ~0.1 to 1 km spanning hundreds of kilometers to global scale.  Dr. Mannino’s research addresses NASA’s long-term goal to understand and protect our home planet.

    Publications

    Refereed

    Mulholland, M. R., P. W. Bernhardt, B. N. Widner, et al. C. R. Selden, P. D. Chappell, S. Clayton, A. Mannino, and K. Hyde. 2019. "High Rates of N 2 Fixation in Temperate, Western North Atlantic Coastal Waters Expand the Realm of Marine Diazotrophy." Global Biogeochemical Cycles 2018GB006130 [10.1029/2018gb006130]

    Werdell, P. J., M. J. Behrenfeld, P. S. Bontempi, et al. E. Boss, B. Cairns, G. T. Davis, B. A. Franz, U. B. Gliese, E. T. Gorman, O. Hasekamp, K. D. Knobelspiesse, A. Mannino, J. V. Martins, C. R. McClain, G. Meister, and L. A. Remer. 2019. "The Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission: Status, science, advances." Bulletin of the American Meteorological Society [10.1175/bams-d-18-0056.1]

    Signorini, S. R., A. Mannino, M. A. Friedrichs, et al. P. St‐Laurent, J. Wilkin, A. Tabatabai, R. G. Najjar, E. E. Hofmann, F. Da, H. Tian, and Y. Yao. 2019. "Estuarine Dissolved Organic Carbon Flux from Space: with Application to Chesapeake and Delaware Bays." Journal of Geophysical Research: Oceans (In Press) 2018JC014646 [10.1029/2018jc014646]

    Concha, J., A. Mannino, B. Franz, and W. Kim. 2019. "Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes." Remote Sensing 11 (3): 295 [10.3390/rs11030295]

    Concha, J., A. Mannino, B. Franz, S. Bailey, and W. Kim. 2019. "Vicarious calibration of GOCI for the SeaDAS ocean color retrieval." International Journal of Remote Sensing 40 (10): 3984-4001 [10.1080/01431161.2018.1557793]

    Friedrichs, M. A., P. St-Laurent, Y. Xiao, et al. E. Hofmann, K. Hyde, A. Mannino, R. G. Najjar, D. A. Narváez, S. R. Signorini, H. Tian, J. Wilkin, Y. Yao, and J. Xue. 2019. "Ocean Circulation Causes Strong Variability in the Mid-Atlantic Bight Nitrogen Budget." Journal of Geophysical Research: Oceans 124 (1): 113-134 [10.1029/2018jc014424]

    Aurin, D., A. Mannino, and D. Lary. 2018. "Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global Ocean." Applied Sciences 8 (12): 2687 [10.3390/app8122687]

    Novak, M. G., I. Cetinić, J. E. Chaves, and A. Mannino. 2018. "The adsorption of dissolved organic carbon onto glass fiber filters and its effect on the measurement of particulate organic carbon: A laboratory and modeling exercise." Limnology and Oceanography: Methods [10.1002/lom3.10248]

    Muller-Karger, F. E., E. Hestir, C. Ade, et al. K. Turpie, D. A. Roberts, D. Siegel, R. J. Miller, D. Humm, N. Izenberg, M. Keller, F. Morgan, R. Frouin, A. G. Dekker, R. Gardner, J. Goodman, B. Schaeffer, B. A. Franz, N. Pahlevan, A. G. Mannino, J. A. Concha, S. G. Ackleson, K. C. Cavanaugh, A. Romanou, M. Tzortziou, E. S. Boss, R. Pavlick, A. Freeman, C. S. Rousseaux, J. Dunne, M. C. Long, E. Klein, G. A. McKinley, J. Goes, R. Letelier, M. Kavanaugh, M. Roffer, A. Bracher, K. R. Arrigo, H. Dierssen, X. Zhang, F. W. Davis, B. Best, R. Guralnick, J. Moisan, H. M. Sosik, R. Kudela, C. B. Mouw, A. H. Barnard, S. Palacios, C. Roesler, E. G. Drakou, W. Appeltans, and W. Jetz. 2018. "Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems." Ecological Applications 28 (3): 749-760 [10.1002/eap.1682]

    Najjar, R. G., M. Herrmann, R. Alexander, et al. E. W. Boyer, D. Burdige, D. Butman, W.-J. Cai, E. A. Canuel, R. F. Chen, M. A. Friedrichs, R. A. Feagin, P. Griffith, A. L. Hinson, J. R. Holmquist, X. Hu, W. M. Kemp, K. D. Kroeger, A. Mannino, S. L. McCallister, W. R. McGillis, M. R. Mulholland, C. Pilskaln, J. Salisbury, S. Signorini, P. St-Laurent, H. Tian, M. Tzortziou, P. Vlahos, Z. A. Wang, and R. C. Zimmerman. 2018. "Carbon budget of tidal wetlands, estuaries, and shelf waters of Eastern North America." Global Biogeochemical Cycles 32 [10.1002/2017gb005790]

    Vandermeulen, R. A., A. Mannino, A. Neeley, J. Werdell, and R. Arnone. 2017. "Determining the optimal spectral sampling frequency and uncertainty thresholds for hyperspectral remote sensing of ocean color." Optics Express 25 (16): A785 [10.1364/oe.25.00a785]

    Robinson, W. D., B. A. Franz, A. Mannino, and J.-H. Ahn. 2016. "Cloud motion in the GOCI/COMS ocean colour data." International Journal of Remote Sensing 37 (20): 4948-4963 [10.1080/01431161.2016.1225177]

    Mannino, A., S. R. Signorini, M. G. Novak, et al. J. Wilkin, M. A. Friedrichs, and R. G. Najjar. 2016. "Dissolved organic carbon fluxes in the Middle Atlantic Bight: An integrated approach based on satellite data and ocean model products." J. Geophys. Res. Biogeosci. 121 (2): 312-336 [10.1002/2015jg003031]

    Salisbury, J., D. Vandemark, B. Jönsson, et al. W. Balch, S. Chakraborty, S. Lohrenz, B. Chapron, B. Hales, A. Mannino, J. Mathis, N. Reul, S. Signorini, R. Wanninkhof, and K. Yates. 2015. "How Can Present and Future Satellite Missions Support Scientific Studies that Address Ocean Acidification?" Oceanog 25 (2): 108-121 [10.5670/oceanog.2015.35]

    Mannino, A., M. G. Novak, S. B. Hooker, K. Hyde, and D. Aurin. 2014. "Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern U.S. coast." Remote Sensing of Environment 152 576–602 [10.1016/j.rse.2014.06.027]

    Signorini, S., A. Mannino, R. G. Najjar Jr., et al. M. A. Friedrichs, W.-J. Cai, J. Salisbury, Z. A. Wang, H. Thomas, and E. Shadwick. 2013. "Surface ocean pCO2 seasonality and sea-air CO2 flux estimates for the North American east coast." Journal of Geophysical Research 118 (10): 5439-5460 [10.1002/jgrc.20369]

    Aurin, D., A. Mannino, and B. Franz. 2013. "Spatially resolving ocean color and sediment dispersion in river plumes, coastal systems, and continental shelf waters." Remote Sensing of Environment 137 212–225 [10.1016/j.rse.2013.06.018]

    Peloquin, J., C. Swan, N. Gruber, et al. M. Vogt, H. Claustre, J. Ras, J. Uitz, R. Barlow, M. Behrenfeld, R. Bidigare, H. Dierssen, G. Ditullio, E. Fernandez, C. Gallienne, S. Gibb, R. Goericke, L. Harding, E. Head, P. Holligan, S. B. Hooker, D. Karl, M. Landry, R. Letelier, C. Llewellyn, M. Lomas, M. Lucas, A. Mannino, J. Marty, B. Mitchell, F. Muller-Karger, N. Nelson, C. OBrien, B. Prezelin, W. Repeta, W. Repeta, W. Repeta, D. Smythe-Wright, R. Stumpf, A. Subramaniam, K. Suzuki, C. Trees, M. Vernet, N. Wasmund, and S. Wright. 2013. "The MAREDAT global database of high performance liquid chromatography marine pigment measurements." Earth System Science Data 5 (1): 109-123 [10.5194/essd-5-109-2013]

    Hu, C., F. Lian, Z. Lee, et al. C. Davis, A. Mannino, C. R. Mc Clain, and B. A. Franz. 2012. "On the signal-to-noise ratio and product uncertainty of satellite ocean color measurements." Proc. Ocean Optics XXI

    Fishman, J., L. T. Iraci, J. Al-Saadi, et al. K. V. Chance, F. Chavez, M. Chin, P. Coble, C. Davis, P. M. DiGiacomo, D. Edwards, A. Eldering, J. Goes, J. R. Herman, C. Hu, D. J. Jacob, C. Jordan, S. R. Kawa, R. Key, X. Liu, S. Lohrenz, A. Mannino, V. Natraj, D. Neil, J. Neu, M. Newchurch, K. Pickering, J. Salisbury, H. Sosik, A. Subramaniam, M. Tzortziou, J. Wang, and M. Wang. 2012. "The United States' Next Generation of Atmospheric Composition and Coastal Ecosystem Measurements: NASA's Geostationary Coastal and Air Pollution Events (GEO-CAPE) Mission." Bulletin of the American Meteorological Society 93 (10): 1547-1566 [Full Text (Link)] [10.1175/BAMS-D-11-00201.1]

    Hu, C., L. Feng, Z. Lee, et al. C. O. Davis, A. Mannino, C. R. McClain, and B. A. Franz. 2012. "Dynamic range and sensitivity requirements of satellite ocean color sensors: learning from the past." Applied Optics 51 (25): 6045 [10.1364/AO.51.006045]

    Mulholland, M., P. Bernhardt, J. Blanco-Garcia, et al. A. Mannino, K. Hyde, E. Mondragon, K. Turk, P. Moisander, and J. Zehr. 2012. "Rates of dinitrogen fixation and the abundance of diazotrophs in North American coastal waters between Cape Hatteras and Georges Bank." Limnology and Oceanography 57 (4): 1067-1083

    Pan, X., A. Mannino, H. G. Marshall, K. C. Filippino, and M. R. Mulholland. 2011. "Remote sensing of phytoplankton community composition along the northeast coast of the United States." Remote Sensing of Environment 115 3731-3747 [10.1016/j.rse.2011.09.011]

    Garcia, C. A., V. M. Garcia, A. Dogliotti, et al. A. Ferreira, S. Romero, A. Mannino, M. Souza, and M. Mata. 2011. "Environmental conditions and bio-optical signature of a coccolithophorid bloom in the Patagonian shelf." J. Geophys. Res. 116 (C3): C03025 [10.1029/2010JC006595]

    Hofmann, E., B. Cahill, K. Fennel, et al. M. A. Friedrichs, K. Hyde, C. Lee, A. Mannino, R. Najjar, J. O’Reilly, J. Wilkin, and J. Xue. 2011. "Modeling the Dynamics of Continental Shelf Carbon." Annual Review of Marine Science 3 93-122

    Druon, J., A. Mannino, S. R. Signorini, et al. C. R. McClain, M. Friedrichs, J. Wilken, and K. Fennel. 2010. "Modeling the dynamics and export of dissolved organic matter in the northeastern U.S. continental shelf.." Estuarine Coastal and Shelf Science 88 488-507

    Pan, X., A. Mannino, M. Russ, S. Hooker, and L. Harding. 2010. "Remote sensing of phytoplankton pigment distribution in the United States northeast coast." Remote Sensing of Environment 114 (11): 2403-2416 [10.1016/j.rse.2010.05.015]

    Hofmann, E., J. Druon, K. Fennel, et al. M. Friedrichs, D. Haidvogel, C. Lee, A. Mannino, C. R. Mcclain, R. Najjar, J. O'Reilly, D. Pollard, M. Previdi, S. Seitzinger, J. Siewert, S. Signorini, and J. Wilkin. 2008. "Eastern US Continental Shelf Carbon Budget: Integrating Models, Data Assimilation, and Analysis." Oceanography 21 (1): 86-104 [10.5670/oceanog.2008.70]

    Pan, X., A. Mannino, M. Russ, and S. Hooker. 2008. "Remote sensing of the absorption coefficients and chlorophyll a concentration in the United States southern Middle Atlantic Bight from SeaWiFS and MODIS-Aqua." J. Geophys. Res. 113 (C11): C11022 [10.1029/2008JC004852]

    Mannino, A., M. Russ, and S. Hooker. 2008. "Algorithm development and validation for satellite-derived distributions of DOC and CDOM in the U.S. Middle Atlantic Bight." J Geophys Res 113 (C7): C07051 [10.1029/2007JC004493]

    Cottrell, M., A. Mannino, and D. Kirchman. 2006. "Aerobic anoxygenic phototrophic bacteria in the Middle Atlantic Bight and the North Pacific Gyre." Applied Environmental Microbiology 72 557-564

    Esper, J., J. Gervin, F. Kirchman, et al. E. M. Middleton, R. G. Knox, W. Gregg, A. Mannino, C. R. Mcclain, J. Herman, and F. G. Hall. 2005. "Low/medium density biomass, coastal and ocean carbon: a carbon cycle mission." Acta Astro 56 25-34

    Mannino, A., and H. R. Harvey. 2004. "Black carbon in estuarine and coastal ocean dissolved organic matter." Limnol Oceanogr 49 (3): 735-740 [10.4319/lo.2004.49.3.0735]

    Harvey, H. R., and A. Mannino. 2001. "The chemical composition and cycling of particulate and macromolecular dissolved organic matter in temperate estuaries as revealed by molecular organic tracers." Organic Geochemistry 32 527-542

    Mannino, A., and H. R. Harvey. 2000. "Biochemical composition of dissolved organic matter along an estuarine gradient: sources and implications for DOM reactivity." Limnology and Oceanography 45 775-788

    Mannino, A., and H. R. Harvey. 2000. "Terrigenous dissolved organic matter along an estuarine gradient and its flux to the coastal ocean." Organic Geochemistry 31 1611-1625

    Mannino, A., and H. R. Harvey. 1999. "Lipid composition in particulate and dissolved organic matter in the Delaware Estuary: sources and diagenetic patterns." Geochimica et Cosmochimica Acta 63 2219-2235

    Mannino, A., and P. A. Montagna. 1997. "Small-scale spatial variation of macrobenthic community structure." Estuaries 20 159-173

    Non-Refereed

    Ondrusek, M., V. P. Lance 1962-, M. Wang, et al. R. A. Arnone 1949-, S. Ladner, W. Goode, R. Vandermeulen, S. Freeman, J. E. Chaves, A. Mannino, A. Gilerson, S. Ahmed, C. Carrizo, A. El-Habashi, R. Foster, M. Ottaviani, J. I. Goes, H. D. Gomes, K. McKee, C. Hu, C. Kovach, D. English, J. Cannizzaro, B. C. Johnson, Z. Lee, J. Wei, Q. Wang, J. Lin, N. Tufillaro, J. Nahorniak, C. O. Davis, and K. J. Voss. 2016. "Report for dedicated JPSS VIIRS Ocean Color December 2015 Calibration/Validation Cruise." NOAA technical report NESDIS [http://doi.org/10.7289/V5/TR-NESDIS-148]

                                                                                                                                                                                            
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