Repository of community practices in Ocean Research, Applications and Data/Information Management
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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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    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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    An overview of uncertainty quantification techniques with application to oceanic and oil-spill simulations. 

    Iskandarani, M.; Wang, S.; Srinivasan, A.; Carlisle Thacker, W.; Winokur, J.; Knio, O. M. (2016)
    We give an overview of four different ensemble-based techniques for uncertainty quantification and illustrate their application in the context of oil plume simulations. These techniques share the common paradigm of ...
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    Dynamic Reusable Workflows for Ocean Science. 

    Signell, Richard P.; Fernandes, Filipe; Wilcox, Kyle (2016)
    Digital catalogs of ocean data have been available for decades, but advances in standardized services and software for catalog searches and data access now make it possible to create catalog-driven workflows that ...
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    Benthic Terrain Modeler (BTM) 3.0, tools for understanding and classifying the benthic environment. [Sofware] 

    Walbridge, Shaun; Slocum, Noah; Pobuda, Marjean; Wright, Dawn J. (Esri, Redlands, CA, USA, 2018)
    A full tutorial with sample data is included with this zip file within the 'tutorial' directory. This self-paced training module introduces the benthic terrain modeling concepts used in the BTM, and steps users through ...
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    AuthorOrtiz Martínez, Ruby Viviana (4)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)Bushnell, Mark (2)Chassignet, Eric P. (2)... View MoreSubject
    Physical oceanography (73)
    Data processing (9)Atmosphere (8)Biological oceanography (8)CTD (8)Data analysis (7)Marine geology (7)Uncertainty quantification (7)Data acquisition (6)Data assimilation (6)... View MoreDate Issued2019 (20)2017 (16)2016 (12)2018 (11)2014 (5)2015 (5)2013 (3)2011 (1)Has File(s)Yes (73)

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