Add to ORKGThe operational circulation model BSHcmod of the German Maritime and Hydrographic Agency (BSH) has been extended for ensemble-based forecasting including data assimilation in the North and Baltic Seas. The extension is obtained by coupling BSHcmod with the Parallel Data Assimilation Framework (PDAF, http://pdaf.awi.de). Observations are assimilated using an ensemble-based Kalman filter. The forecast performance is improved by assimilating satellite sea surface temperature. Further improvements from the assimilation of in situ temperature and salinity data from MARNET stations and CTD measurements are investigated. We provide an overview of the assimilation system and discuss the forecast improvements achieved with data assimilati...
Ensemble data assimilation (EnDA) is used to combine numerical models and observations in a quantita...
Data assimilation applications with high-dimensional numerical models show extreme requirements on c...
Data assimilation combines observational data with numerical simulation models. The methodology allo...
To improve hydrographic forecasts in the North and Baltic Seas, the HIROMB-BOOS Model (HBM) has been...
The effect of the assimilation of satellite sea surface temperature onto the forecast quality of the...
Quality of the forecast provided by the German Maritime and Hydrographic Agency (BSH) for the North ...
A biogeochemical forecasting system of the North and Baltic Seas is developed based on the HIROMB-BO...
A data assimilation (DA) system has been developed for the operational circulation model of the Germ...
Data assimilation combines observational data with a numerical model. It is commonly used in numeric...
Coupled models simulate different compartments of the Earth system as well as their interactions. Fo...
The effect of satellite sea surface temperature assimilation on the forecast quality of the coastal ...
Discussed is how we can build a data-assimilative model by augmenting a forecast model by data assim...
Satellite data of both physical properties as well as ocean colour can be assimilated into coupled o...
This paper describes the implementation and evaluation of a pre-operational three dimensional variat...
We discuss a strategy to build a highly scalable and flexible data assimilation system on the basis ...
Ensemble data assimilation (EnDA) is used to combine numerical models and observations in a quantita...
Data assimilation applications with high-dimensional numerical models show extreme requirements on c...
Data assimilation combines observational data with numerical simulation models. The methodology allo...
To improve hydrographic forecasts in the North and Baltic Seas, the HIROMB-BOOS Model (HBM) has been...
The effect of the assimilation of satellite sea surface temperature onto the forecast quality of the...
Quality of the forecast provided by the German Maritime and Hydrographic Agency (BSH) for the North ...
A biogeochemical forecasting system of the North and Baltic Seas is developed based on the HIROMB-BO...
A data assimilation (DA) system has been developed for the operational circulation model of the Germ...
Data assimilation combines observational data with a numerical model. It is commonly used in numeric...
Coupled models simulate different compartments of the Earth system as well as their interactions. Fo...
The effect of satellite sea surface temperature assimilation on the forecast quality of the coastal ...
Discussed is how we can build a data-assimilative model by augmenting a forecast model by data assim...
Satellite data of both physical properties as well as ocean colour can be assimilated into coupled o...
This paper describes the implementation and evaluation of a pre-operational three dimensional variat...
We discuss a strategy to build a highly scalable and flexible data assimilation system on the basis ...
Ensemble data assimilation (EnDA) is used to combine numerical models and observations in a quantita...
Data assimilation applications with high-dimensional numerical models show extreme requirements on c...
Data assimilation combines observational data with numerical simulation models. The methodology allo...