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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Ruiz, Juan Jose | - |
| dc.creator | Pulido, Manuel Arturo | - |
| dc.creator | Miyoshi, Takemasa | - |
| dc.date | 2015-10-08T19:32:18Z | - |
| dc.date | 2015-10-08T19:32:18Z | - |
| dc.date | 2013-01 | - |
| dc.date | 2016-03-30 10:35:44.97925-03 | - |
| dc.date.accessioned | 2019-04-29T15:50:41Z | - |
| dc.date.available | 2019-04-29T15:50:41Z | - |
| dc.date.issued | 2013-01 | - |
| dc.identifier | Ruiz, Juan Jose; Pulido, Manuel Arturo; Miyoshi, Takemasa; Estimating parameters with ensemble-based data assimilation : a review.; Meteorological Soc Jpn; Journal Of The Meteorological Society Of Japan; 91; 2; 1-2013; 79-99 | - |
| dc.identifier | 0026-1165 | - |
| dc.identifier | http://hdl.handle.net/11336/2434 | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/303529 | - |
| dc.description | Weather forecast and earth system models usually have a number of parameters, which are often optimizedmanually by trial and error. Several studies have proposed objective methods to estimate model parameters using dataassimilation techniques. This paper provides a review of the previous studies and illustrates the application ofensemble-based data assimilation to the estimation of temporally varying model parameters in a simple low-resolutionatmospheric general circulation model known as the SPEEDY model. As shown in previous studies, our resultshighlight that data assimilation techniques are efficient optimization methods which can be used for parameterestimation in complex geophysical models and that the estimated parameters have a positive effect on short-tomedium-range numerical weather prediction. | - |
| dc.description | Fil: Ruiz, Juan Jose. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Nordeste. Instituto de Modelado e Innovación Tecnológica; Argentina; | - |
| dc.description | Fil: Pulido, Manuel Arturo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Nordeste. Instituto de Modelado e Innovación Tecnológica; Argentina; | - |
| dc.description | Fil: Miyoshi, Takemasa. University of Maryland; Estados Unidos de América; | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Meteorological Soc Jpn | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.jstage.jst.go.jp/article/jmsj/91/2/91_2013-201/_article | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.2151/jmsj.2013-201 | - |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.rights | Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR) | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.subject | PARAMETER ESTIMATION | - |
| dc.subject | DATA ASSIMILATION | - |
| dc.subject | ENSEMBLE KALMAN FILTER | - |
| dc.subject | Meteorología y Ciencias Atmosféricas | - |
| dc.subject | Ciencias de la Tierra y relacionadas con el Medio Ambiente | - |
| dc.subject | CIENCIAS NATURALES Y EXACTAS | - |
| dc.title | Estimating parameters with ensemble-based data assimilation : a review. | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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