Preprints
https://doi.org/10.5194/egusphere-2022-114
https://doi.org/10.5194/egusphere-2022-114
 
20 May 2022
20 May 2022

Development of a flexible data assimilation method in a 3D unstructured-grid ocean model under Earth System Modeling Framework

Hao-Cheng Yu1, Yinglong Joseph Zhang1, Lars Nerger2, Carsten Lemmen3, Jason C. S. Yu4, Tzu-Yin Chou4, Chi-Hao Chu5, and Chuen-Teyr Terng5 Hao-Cheng Yu et al.
  • 1Center for Coastal Resource Management, Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, 23062, USA
  • 2Alfred-Wegener-Institut Helmholtz-Zentrum für Polar und Meerresforschung, Bremerhaven, 27570, Germany
  • 3Institute of Coastal Systems Analysis and Modeling, Helmholtz-Zentrum Hereon, Geesthacht, 21502, Germany
  • 4Department of Marine Environment and Engineering, National Sun Yat-Sen University, Kaohsiung, 80424, Taiwan
  • 5Marine Meteorology Center, Central Weather Bureau, Taipei, 100006, Taiwan

Abstract. We develop a new data assimilative (DA) approach by combining two parallel frameworks: a parallel DA framework (PDAF) and a flexible model coupling framework (ESMF). The new DA system is built on the ESMF at the top level that drives the PDAF and any combination of earth system modeling (ESM) components, to allow maximum flexibility and easy implementation of data assimilation for fully coupled ESM applications. We demonstrate the new DA system using a 3D unstructured-grid ocean model as ESM in this paper. The new system is validated using a simple benchmark and applied to a realistic case of Kuroshio simulation around Taiwan. The new system is demonstrated to significantly improve the model skill for temperature, velocity and surface elevation before, during and after typhoon events. The flexibility and ease of implementation make the new system widely applicable for other coupled ESMs.

Hao-Cheng Yu et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-114', Anonymous Referee #1, 29 Jun 2022
  • RC2: 'Comment on egusphere-2022-114', Anonymous Referee #2, 12 Oct 2022

Hao-Cheng Yu et al.

Hao-Cheng Yu et al.

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Short summary
We develop a new data assimilative approach by combining two parallel frameworks: PDAF and ESMF. This allows maximum flexibility and easy implementation of data assimilation for fully coupled earth system model applications. It is also validated by using a simple benchmark and applied to a realistic case simulation around Taiwan. The real case test shows significant improvement for temperature, velocity and surface elevation before, during and after typhoon events.