يعرض 1 - 20 نتائج من 45 نتيجة بحث عن '"Skakala J"', وقت الاستعلام: 0.47s تنقيح النتائج
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    Academic Journal

    وصف الملف: text

    Relation: https://plymsea.ac.uk/id/eprint/10185/1/1-s2.0-S0079661124000557-main.pdf; Skákala, J, Ford, D, Fowler, A, Lea, D, Martin, M and Ciavatta, S 2024 How uncertain and observable are marine ecosystem indicators in shelf seas?. Progress in Oceanography, 224. 103249. https://doi.org/10.1016/j.pocean.2024.103249

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    Academic Journal

    وصف الملف: text

    Relation: https://plymsea.ac.uk/id/eprint/10137/1/bg-21-731-2024.pdf; Higgs, I, Skákala, J, Bannister, R, Carrassi, A and Ciavatta, Stefano 2024 Investigating ecosystem connections in the shelf sea environment using complex networks. Biogeosciences, 21 (3). 731-746. https://doi.org/10.5194/bg-21-731-2024

  3. 3
    Academic Journal

    المؤلفون: Banerjee, DS, Skákala, J

    وصف الملف: text

    Relation: https://plymsea.ac.uk/id/eprint/10247/1/862729.pdf; Banerjee, DS and Skákala, J 2024 Improved understanding of eutrophication trends, indicators and problem areas using machine learning. Improved understanding of eutrophication trends, indicators and problem areas using machine learning. https://doi.org/10.22541/essoar.171405637.76928549/v1

  4. 4
    Academic Journal

    وصف الملف: text

    Relation: https://plymsea.ac.uk/id/eprint/9917/1/fmars-10-1058837.pdf; Skákala, J, Awty-Carroll, K, Menon, PP, Wang, K and Lessin, G 2023 Future digital twins: emulating a highly complex marine biogeochemical model with machine learning to predict hypoxia. Frontiers in Marine Science, 10. https://doi.org/10.3389/fmars.2023.1058837

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    Academic Journal

    وصف الملف: text

    Relation: https://plymsea.ac.uk/id/eprint/9840/1/fmars-09-1067174.pdf; Ford, DA; Grossberg, S; Rinaldi, G; Menon, PP; Palmer, MR; Skákala, J; Smyth, TJ; Williams, CAJ; Lorenzo Lopez, A; Ciavatta, S. 2022 A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.1067174

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    Academic Journal
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    Academic Journal

    وصف الملف: text

    Relation: http://plymsea.ac.uk/id/eprint/9664/1/1-s2.0-S1463500322000269-main.pdf; Skákala, J; Bruggeman, J; Ford, D; Wakelin, S; Akpınar, A; Hull, T; Kaiser, J; Loveday, BR; O’Dea, E; Williams, CAJ; Ciavatta, S. 2022 The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas. Ocean Modelling, 172. 101976. https://doi.org/10.1016/j.ocemod.2022.101976

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    Academic Journal

    المساهمون: Mercator Océan International (MOi), Institut de Recherche pour le Développement (IRD)-Service Hydrographique et Océanographique de la Marine (SHOM), Ministère de la défense (1936-.)-Ministère de la défense (1936-.)-United Kingdom Met Office Exeter -Nansen Environmental and Remote Sensing Center Bergen (NERSC)-National Research Council of Italy, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Instituto Español de Oceanografía - Spanish Institute of Oceanography (IEO), Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC), Nansen Environmental and Remote Sensing Center Bergen (NERSC), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA)

    المصدر: ISSN: 0079-6611 ; Progress in Oceanography ; https://hal.science/hal-04801337 ; Progress in Oceanography, In press, ⟨10.1016/j.pocean.2024.103384⟩.

  11. 11
    Academic Journal

    Relation: Bruggeman, J, Bolding, K, Nerger, L, Teruzzi, A, Spada, S, Skákala, J and Ciavatta, S 2024 EAT v0.9.6: a 1D testbed for physical-biogeochemical data assimilation in natural waters. https://doi.org/10.5194/gmd-2023-238 (In Press)

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