NEMOTAM: tangent and adjoint models for the ocean modelling platform NEMO

Author:

Vidard A.ORCID,Bouttier P.-A.,Vigilant F.

Abstract

Abstract. The tangent linear and adjoint model (TAM) are efficient tools to analyse and to control dynamical systems such as NEMO. They can be involved in a large range of applications such as sensitivity analysis, parameter estimation or the computation of characteristics vectors. TAM is also required by the 4-D-VAR algorithm which is one of the major method in Data Assimilation. This paper describes the development and the validation of the Tangent linear and Adjoint Model for the NEMO ocean modelling platform (NEMOTAM). The diagnostic tools that are available alongside NEMOTAM are detailed and discussed and several applications are also presented.

Publisher

Copernicus GmbH

Reference30 articles.

1. Blayo, E., Durbiano, S., Vidard, A., and Le Dimet, F.-X.: Reduced order strategies for variational data assimilation in oceanic models, in: Data Assimilation for Geophysical Flows, edited by: Sportisse, B. and Le Dimet, F.-X., 18 pp., Springer-Verlag, 2003.

2. Bouttier, P.-A., Blayo, E., Brankart, J.-M., Brasseur, P., Cosme, E., Verron, J., and Vidard, A.: Toward a data assimilation system for NEMO, Mercator Ocean Quarterly Newsletter, 24–30, 2012.

3. Daget, N., Weaver, A. T., and Balmaseda, M. A.: Ensemble estimation of background-error variances in a three-dimensional variational data assimilation system for the global ocean, Q. J. Roy. Meteor. Soc., 135, 1071–1094, 2009.

4. Deltel, C.: Estimation de la circulation dans l'océan Atlantique Sud par assimilation variationnelle de données in situ. Impact du contrôle optimal des forçages et de l'hydrologie aux frontières ouvertes. 185 pp., Ph.D. thesis, Univ. de Bretagne Occidentale, 2002.

5. Durbiano, S.: Vecteurs caractéristiques de modèles océaniques pour la réduction d'ordre en assimilation de données, Ph.D. thesis, Université Joseph Fourier, 2001.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3