Journal article
Data assimilation framework: Linking an open data assimilation library (OpenDA) to a widely adopted model interface (OpenMI)
DHI, Agern Allé 5, DK-2970 Hørsholm, Denmark DHI Agern Allé 5 Hørsholm DK-2970 Denmark1
TUDelft, Postbus 5, 2600 AA Delft, The Netherlands TUDelft Postbus 5 Delft 2600 AA The Netherlands2
Deltares, P.O. Box 177, 2600 MH Delft, The Netherlands Deltares P.O. Box 177 Delft 2600 MH The Netherlands3
University of Copenhagen, Øster Voldgade 10, 1350 København K, Denmark University of Copenhagen Øster Voldgade 10 København K 1350 Denmark4
VORtech, P.O. Box 260, 2600 AG Delft, The Netherlands VORtech P.O. Box 260 Delft 2600 AG The Netherlands5
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.
| Language: | English |
|---|---|
| Year: | 2014 |
| Pages: | 76-89 |
| ISSN: | 18736726 and 13648152 |
| Types: | Journal article |
| DOI: | 10.1016/j.envsoft.2014.02.008 |
