Browsing ⇒ ZZZ_Miscellaneous Communities by Subject "Data assimilation"

Now showing items 1-7 of 7

    • Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System. 

      Wilkin, John; Rosenfeld, Leslie; Allen, Arthur; Baltes, Rebecca; Baptista, Antonio; He, Ruoying; Hogan, Patrick; Kurapov, Alexander; Mehra, Avichal; Quintrell, Josie; Schwab, David; Signell, Richard; Smith, Jane (2017)
      This paper outlines strategies that would advance coastal ocean modelling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the US Integrated Ocean ...

    • Assimilation of significant wave height from distributed ocean wave sensors. 

      Smit, P.B.; Houghton, I.A.; Jordanova, K.; Portwood, T.; Shapiro, E.; Clark, D.; Sosa, M.; Janssen, T.T. (2021)
      In-situ ocean wave observations are critical to improve model skill and validate remote sensing wave measurements. Historically, such observations are extremely sparse due to the large costs and complexity of traditional ...

    • HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network. 

      Rubio, A.; Mader, J.; Corgnati, L.; Mantovani, C.; Griffa, A.; Novellino, A.; Quentin, C.; Wyatt, L.; Schulz-Stellenfleth, J.; Horstmann, J.; Lorente, P.; Zambianchi, E.; Hartnett, M.; Fernandes, C.; Zervakis, V.; Gorringe, P.; Melet, A.; Puillat, I. (2017)
      High Frequency Radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface. ...

    • 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 ...

    • Ocean Reanalyses: Recent Advances and Unsolved Challenges. 

      Storto, Andrea; Alvera-Azcárate, Aida; Balmaseda, Magdalena A.; Barth, Alexander; Chevallier, Matthieu; Counillon, Francois; Domingues, Catia M.; Drevillon, Marie; Drillet, Yann; Forget, Gaël; Garric, Gilles; Haines, Keith; Hernandez, Fabrice; Iovino, Doroteaciro; Jackson, Laura C.; Lellouche, Jean-Michel; Masina, Simona; Mayer, Michael; Oke, Peter R.; Penny, Stephen G.; Peterson, K. Andrew; Yang, Chunxue; Zuo, Hao (2019)
      Ocean reanalyses combine ocean models, atmospheric forcing fluxes, and observations using data assimilation to give a four-dimensional description of the ocean. Metrics assessing their reliability have improved over time, ...

    • 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 ...

    • Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean. 

      Moore, A.M.; Martin, M.J.; Akella, S.; Arango, H.G.; Balmaseda, M.; Bertino, L.; Ciavatta, S.; Cornuelle, B.; Cummings, J.; Frolov, S.; Lermusiaux, P.; Oddo, P.; Oke, P.R.; Storto, A.; Teruzzi, A.; Vidard, A.; Weaver, A.T. (2019)
      Ocean data assimilation is increasingly recognized as crucial for the accuracy of realtime ocean prediction systems and historical re-analyses. The current status of ocean data assimilation in support of the operational ...