Repository of community practices in Ocean Research, Applications and Data/Information Management
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    Now showing items 11-20 of 99

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    A review of global ocean temperature observations: Implications for ocean heat content estimates and climate change. 

    Church, J.A.; Conroy, J.L.; Domingues, C.M.; Fasullo, J.T.; Gilson, J.; Goni, G.; Good, S.A.; Gorman, J.M.; Gouretski, V.; Ishii, M.; Johnson, G.C.; Kizu, S.; Lyman, J.M.; Macdonald, A.M.; Minkowycz, W.J.; Moffitt., S.E.; Palmer, M.D.; Piola, A.R.; Reseghetti, F.; Schuckmann, K.; Trenberth, K.E.; Velicogna, I.; Willis, J.K. (2013)
    The evolution of ocean temperature measurement systems is presented with a focus on the development and accuracy of two critical devices in use today (expendable bathythermographs and conductivity-temperature-depth instruments ...
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    Design and Performance Test of an Ocean Turbulent Kinetic Energy Dissipation Rate Measurement Probe. 

    Tian, B.; Li, H.; Yang, H.; Zhao, Y.; Chen, P.; Song, D. (2018)
    Ocean turbulent kinetic energy dissipation rate is an essential parameter in marine environmental monitoring. Numerous probes have been designed to measure the turbulent kinetic energy dissipation rate in the past, and ...
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    SVP-B drifter built by METOCEAN: Use and deployment instructions. Version 2. 

    Blouch, Pierre (Meteo-France, Centre de Meteorologie Marine, Brest, France, 2006)
    The SVP-B buoy is a lagrangian drifter based on the specifications of the Barometer Drifter Construction Manual issued by the Data Buoy Cooperation Panel. Built by METOCEAN Data Systems, it is designed for a minimum 12 ...
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    Drifter deployment instructions: SVP and SVP-Barometer Drifters. [Version 8]. 

    Dolk, Shaun (Global Drifter Program, NOAA/AOML/PhOD, Miami, FLA, 2006)
    Drifter deployment instructions: SVP and SVP-Barometer Drifters. 1) Before deployment, remove ONLY the plastic shrink-wrap. 2) DO NOT REMOVE the paper tape securing the drogue and/or tether. Likewise, DO NOT REMOVE the ...
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    A Review of Protocols for Fiducial Reference Measurements of Downwelling Irradiance for the Validation of Satellite Remote Sensing Data over Water. 

    Ruddick, Kevin G.; Voss, Kenneth; Banks, Andrew C.; Boss, Emmanuel; Castagna, Alexandre; Frouin, Robert; Hieronymi, Martin; Jamet, Cedric; Johnson, B. Carol; Kuusk, Joel; Lee, Zhongping; Ondrusek, Michael; Vabson, Viktor; Vendt, Riho (2019)
    This paper reviews the state of the art of protocols for the measurement of downwelling irradiance in the context of Fiducial Reference Measurements (FRM) of water reflectance for satellite validation. The measurement ...
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    Global in situ Observations of Essential Climate and Ocean Variables at the Air–Sea Interface. 

    Centurioni, L.R.; Turton, J.; Lumpkin, R.; Braasch, L.; Brassington, G.; Chao, Y.; Charpentier, E.; Chen, Z.; Corlett, G.; Dohan, K.; Donlon, C.; Gallage, C.; Hormann, V.; Ignatov, A.; Ingleby, B.; Jensen, R.; Kelly-Gerreyn, B.A.; Koszalka, I.M.; Lin, X.; Lindstrom, E.; Maximenko, N.; Merchant, C.J.; Minnett, P.; O’Carroll, A.; Paluszkiewicz, T.; Poli, P.; Poulain, P-M.; Reverdin, G.; Sun, X.; Swail, V.; Thurston, S.; Wu, L.; Yu, L.; Wang, B .; Zhang, D. (2019)
    The air–sea interface is a key gateway in the Earth system. It is where the atmosphere sets the ocean in motion, climate/weather-relevant air–sea processes occur, and pollutants (i.e., plastic, anthropogenic carbon ...
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    Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. 

    Fujii, Y.; Rémy, E.; Zuo, H.; Oke, P.; Halliwell, G.; Gasparin, F.; Benkiran, M.; Loose, N.; Cummings, J.; Xie, J.; Xue, Y.; Masuda, S.; Smith, G.C.; Balmaseda, M.; Germineaud, C.; Lea, D.J.; Larnicol, G.; Bertino, L.; Bonaduce, A.; Brasseur, P.; Donlon, C.; Heimbach, P.; Kim, Y.; Kourafalou, V.; Le Traon, P-Y.; Martin, M.; Paturi, S.; Tranchant, B.; Usui, N. (2019)
    This paper summarizes recent efforts on Observing System Evaluation (OS-Eval) by the Ocean Data Assimilation and Prediction (ODAP) communities such as GODAE OceanView and CLIVAR-GSOP. It provides some examples of existing ...
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    Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model. 

    Williamson, Daniel B.; Blaker, Adam T.; Sinha, Bablu (2017)
    In this paper we discuss climate model tuning and present an iterative automatic tuning method from the statistical science literature. The method, which we refer to here as iterative refocussing (though also known as ...
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    Rigorous Evaluation of a Fraternal Twin Ocean OSSE System for the Open Gulf of Mexico. 

    Halliwell Jr, G. R.; Srinivasan, A.; Kourafalou, V.; Yang, H.; Willey, D.; Le Henaffe, M.; Atlas, R. (2014)
    Anew fraternal twin ocean observing system simulation experiment (OSSE) system is validated in a Gulf of Mexico domain. It is the first ocean system that takes full advantage of design criteria and rigorous evaluation procedures ...
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    A Hessian-based method for uncertainty quantification in global ocean state estimation. 

    Kalmikov, Alexander G.; Heimbach, Patrick (2014)
    Derivative-based methods are developed for uncertainty quantification (UQ) in largescale ocean state estimation. The estimation system is based on the adjoint method for solving a least-squares optimization problem, whereby ...
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    AuthorOrtiz Martínez, Ruby Viviana (4)Heimbach, Patrick (3)Lovell, P. (3)Masina, Simona (3)Morales Escobar, Ana Alexandra (3)Adcroft, Alistair J. (2)Balmaseda, M. (2)Bertino, L. (2)Blandón Grajales, Rigoberto (2)Buckley, Earle (2)... View MoreSubject
    Physical oceanography (99)
    Data processing (14)CTD (12)Biological oceanography (11)Data acquisition (10)Atmosphere (9)Marine geology (9)Data analysis (8)Data quality control (8)Uncertainty quantification (8)... View MoreDate Issued2020 - 2022 (21)2010 - 2019 (71)2000 - 2009 (6)1955 - 1959 (1)Has File(s)Yes (99)

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