Ocean drifter velocity data assimilation, Part 1: Formulation and diagnostic results

Autor: Helber, Robert W., Smith, Scott R., Jacobs, Gregg A., Barron, Charlie N., Carrier, Matt J., Rowley, Clark D., Ngodock, Hans E., Yaremchuk, Max, Pasmans, Ivo, Bartels, Brent P., DeHaan, Chris J.

Publikováno v: In Ocean Modelling June 2023 183

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Simulating conditional deterministic predictability within ocean frontogenesis

Autor: Jacobs, Gregg A., Richman, James G., Doyle, James D., Spence, Peter L., Bartels, Brent P., Barron, Charlie N., Helber, Robert W., Bub, Frank L.

Publikováno v: In Ocean Modelling June 2014 78:1-16

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Data assimilation considerations for improved ocean predictability during the Gulf of Mexico Grand Lagrangian Deployment (GLAD)

Autor: B.L. Lipphardt, Darek Bogucki, Arthur J. Mariano, M. Josefina Olascoaga, Angelique C. Haza, Gregg A. Jacobs, Arnoldo Valle-Levinson, Falko Judt, Peter L. Spence, Helga S. Huntley, Patrick J. Hogan, Mozheng Wei, Edward H. Ryan, Shuyi S. Chen, Ad Reniers, Guillaume Novelli, Andrew C. Poje, Francisco J. Beron-Vera, Milan Curcic, Hans Ngodock, Prasad G. Thoppil, Mohamed Iskandarani, Clark Rowley, A. D. Kirwan, Brent Bartels, Emanuel Coelho, Nathan J. M. Laxague, Scott Smith, Brian K. Haus, Robert W. Helber, Matthew Gough, Tamay M. Özgökmen, Annalisa Griffa

Publikováno v: Ocean modelling (Oxf., Print) 83 (2014): 98–117. doi:10.1016/j.ocemod.2014.09.003
info:cnr-pdr/source/autori:Jacobs, Gregg A.; Bartels, Brent P.; Bogucki, Darek J.; Beron-Vera, Francisco J.; Chen, Shuyi S.; Coelho, Emanuel F.; Curcic, Milan; Griffa, Annalisa; Gough, Matthew; Haus, Brian K.; Haza, Angelique C.; Helber, Robert W.; Hogan, Patrick J.; Huntley, Helga S.; Iskandarani, Mohamed; Judt, Falko; Kirwan, A. D., Jr.; Laxague, Nathan; Valle-Levinson, Arnoldo; Lipphardt, Bruce L., Jr.; Mariano, Arthur J.; Ngodock, Hans E.; Novelli, Guillaume; Olascoaga, M. Josefina; Oezgoekmen, Tamay M.; Poje, Andrew C.; Reniers, Ad J. H. M.; Rowley, Clark D.; Ryan, Edward H.; Smith, Scott R.; Spence, Peter L.; Thoppil, Prasad G.; Wei, Mozheng/titolo:Data assimilation considerations for improved ocean predictability during the Gulf of Mexico Grand Lagrangian Deployment (GLAD)/doi:10.1016%2Fj.ocemod.2014.09.003/rivista:Ocean modelling (Oxf., Print)/anno:2014/pagina_da:98/pagina_a:117/intervallo_pagine:98–117/volume:83

Ocean prediction systems rely on an array of assumptions to optimize their data assimilation schemes. Many of these remain untested, especially at smaller scales, because sufficiently dense observations are very rare. A set of 295 drifters deployed i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d859ac09026b64ba6ae53995c523aae6
https://doi.org/10.1016/j.ocemod.2014.09.003