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 Bibliografske baze podataka

Pregled bibliografske jedinice broj: 435504

Časopis

Autori: Rixen, Michel; Book, Jeffrey W.; Carta, Alessandro; Grandi, Vittorio; Gualdesi, Lavinio; Stoner, Richard; Ranelli, Peter; Cavanna, Andrea; Zanasca, Pietro; Baldasserini, Gisella; Trangeled, Alex; Lewis, Craig; Trees, Chuck; Grasso, Rafaelle; Giannechini, Simone; Fabiani, Alessio; Merani, Diego; Berni, Alessandro; Leonard, Michel; Martin, Paul; Rowley, Clark; Hulbert, Mark; Quaid, Andrew; Goode, Wesley; Preller, Ruth; Pinardi, Nadia; Oddo, Paolo; Guarnieri, Antonio; Chiggiato, Jacopo; Carniel, Sandro; Russo, Aniello; Tudor, Martina; Lenartz, Fabian; Vandenbulcke, Luc
Naslov: Improved ocean prediction skill and reduced uncertainty in the coastal region from multi-model super-ensembles
( Improved ocean prediction skill and reduced uncertainty in the coastal region from multi-model super-ensembles )
Izvornik: Journal of Marine Systems (0924-7963) 78 (2009), Suppl. 1; 282-289
Vrsta rada: članak
Ključne riječi: Ocean prediction skill; Uncertainties; Multi model super-ensembles; Coastal environments; Kalman Filter; Particle Filter
( Ocean prediction skill; Uncertainties; Multi model super-ensembles; Coastal environments; Kalman Filter; Particle Filter )
Sažetak:
The use of Multi-model Super-Ensembles (SE) which optimally combine different models, has been shown to significantly improve atmospheric weather and climate predictions. In the highly dynamic coastal ocean, the presence of small-scales processes, the lack of real-time data, and the limited skill of operational models at the meso-scale have so far limited the application of SE methods. Here, we report results from state-of-the-art super-ensemble techniques in which SEPTR (a trawl-resistant bottom mounted instrument platform transmitting data in near real-time) temperature profile data are combined with outputs from eight ocean models run in a coastal area during the Dynamics of the Adriatic in Real-Time (DART) experiment in 2006. New Kalman filter and particle filter based SE methods, which allow for dynamic evolution of weights and associated uncertainty, are compared to standard SE techniques and numerical models. Results show that dynamic SE are able to significantly improve prediction skill. In particular, the particle filter SE copes with non-Gaussian error statistics and provides robust and reduced uncertainty estimates.
Projekt / tema: 004-1193086-3036
Izvorni jezik: eng
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Fizika
URL Internet adrese: http://http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VF5-4VR2451-8&_user=4758784&_coverDate=11%2F30%2F2009&_rdoc=23&_fmt=high&_orig=browse&_srch=doc-info(%23toc%236001%232009%23999219999.8998%231529135%23FLA%23display%23Volume)&_cdi=6001&_sort=d&_docanchor=&_ct=37&_acct=C000050661&_version=1&_urlVersion=0&_userid=4758784&md5=356dfa664638758591398cc5d25070cd
http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6VF5-4VR2451-8-F&_cdi=6001&_user=4758784&_orig=browse&_coverDate=11%2F30%2F2009&_sk=999219999.8998&view=c&wchp=dGLzVlz-zSkWz&md5=fc2660a06dad698c4228a92cdcc5b29e&ie=/sdarticle.pdf
Broj citata:
Altmetric:
DOI: 10.1016/j.jmarsys.2009.01.014
URL cjelovitog teksta:
Google Scholar: Improved ocean prediction skill and reduced uncertainty in the coastal region from multi-model super-ensembles
Upisao u CROSBI: mtudor@dhz.hr (mtudor@dhz.hr), 27. Stu. 2009. u 13:26 sati
Napomene:
Coastal Processes: Challenges for Monitoring and Prediction Edited by Michel Rixen, Jeffrey W. Book and Mirko Orlic



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