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Data assimilation framework: Linking an open data assimilation library (OpenDA) to a widely adopted model interface (OpenMI).
- Source :
-
Environmental Modelling & Software . Jul2014, Vol. 57, p76-89. 14p. - Publication Year :
- 2014
-
Abstract
- Abstract: Data assimilation optimally merges model forecasts with observations taking into account both model and observational uncertainty. This paper presents a new data assimilation framework that enables the many Open Model Interface (OpenMI) 2.0 .NET compliant hydrological models already available, access to a robust data assimilation library. OpenMI is an open standard that allows models to exchange data during runtime, thus transforming a complex numerical model to a ‘plug and play’ like component. OpenDA is an open interface standard for a set of tools, filters, and numerical techniques to quickly implement data assimilation. The OpenDA–OpenMI framework is presented and tested on a synthetic case that highlights the potential of this new framework. MIKE SHE, a distributed and integrated hydrological model is used to assimilate hydraulic head in a catchment in Denmark. The simulated head over the entire domain were significantly improved by using an ensemble based Kalman filter. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 13648152
- Volume :
- 57
- Database :
- Academic Search Index
- Journal :
- Environmental Modelling & Software
- Publication Type :
- Academic Journal
- Accession number :
- 96247082
- Full Text :
- https://doi.org/10.1016/j.envsoft.2014.02.008