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      Software for Ensemble-based Data Assimilation Systems - Implementation Strategies and Scalability

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      General Information:

      Citation:
      Nerger, L. and Hiller, W. (2013): Software for Ensemble-based Data Assimilation Systems - Implementation Strategies and Scalability , Computers & Geosciences, 55 , pp. 110-118 . doi: 10.1016/j.cageo.2012.03.026
      Cite this page as:
      hdl:10013/epic.39644
      DOI:
      10.1016/j.cageo.2012.03.026
      Contact Email:
      Lars.Nerger@awi.de
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      Cite this document as:
      hdl:10013/epic.39644.d001
      Abstract:

      Data assimilation algorithms combine a numerical model with observations in a quantitative way. For an optimal combination either variational minimization algorithms or ensemble-based estimation methods are applied. The computations of a data assimilation application are usually far more costly than a pure model integration. To cope with the large computational costs, a good scalability of the assimilation program is required. The ensemble-based methods have been shown to exhibit a particularly good scalability due to the natural parallelism inherent in the integration of an ensemble of model states. However, also the scalability of the estimation method – commonly based on the Kalman filter – is important. This study discusses implementation strategies for ensemble-based filter algorithms. Particularly efficient is a strong coupling between the model and the assimilation algorithm into a single executable program. The coupling can be performed with minimal changes to the numerical model itself and leads to a model with data assimilation extension. The scalability of the data assimilation system is examined using the example of an implementation of an ocean circulation model with the Parallel Data Assimilation Framework (PDAF) into which synthetic sea surface height data are assimilated.

      Further Details:

      Item Type:
      Article
      Authors:
      Nerger, Lars ; Hiller, Wolfgang
      Divisions:
      AWI Organizations > Infrastructure > Scientific Computing
      Primary Division:
      Organizations > AWI Organizations > Infrastructure
      Programs:
      Helmholtz Research Programs > PACES I (2009-2013) > TOPIC 4: Synthesis: The Earth System from a Polar Perspective > WP 4.1: Current and Future Changes of the Earth System
      Primary Topic:
      Helmholtz Programs > Helmholtz Research Programs > PACES I (2009-2013) > TOPIC 4: Synthesis: The Earth System from a Polar Perspective
      Eprint ID:
      26107
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      Alfred-Wegener-Institut
      Helmholtz-Zentrum für Polar-
      und Meeresforschung
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