wiki:PublicationsandPresentations

Version 16 (modified by lnerger, 8 years ago) (diff)

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Publications and Presentations

Presentations

PDAF has been presented at different conferences. Here are some slides from these presentations:

The Parallel Data Framework PDAF for scalable sequential data assimilation,
Workshop on Programming Environments for Data Assimilation: Software and Applications, Deltares, Delft, Netherlands, January 31, 2011.

Scalable sequential data assimilation with the Parallel Data Assimilation Framework PDAF,
2010 Ocean Sciences Meeting, Portland, Oregon, February 20-26, 2010.

Sequential data assimilation on high-performance computers with the Parallel Data Assimilation Framework,
13th ECMWF Workshop on High Performance Computing in Meteorology, Reading, UK, November 3-7, 2008.

PDAF - The Parallel Data Assimilation Framework: Experiences with Kalman Filtering,
11th ECMWF Workshop on Use of High Performance Computing in Meteorology, October 25-29, 2004, Reading, UK.

Publications about PDAF

Nerger, L., Hiller, W., Schröter, J.(2005). PDAF - The Parallel Data Assimilation Framework: Experiences with Kalman Filtering, Use of high performance computing in meteorology : proceedings of the Eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology, Reading, UK, 25 - 29 October 2004 / Eds.: Walter Zwieflhofer; George Mozdzynski, Singapore: World Scientific, 63-83.

Publications involving PDAF

2011

Janjić, T., Nerger, L., Albertella, A., Schröter, J., Skachko S. (2011). On domain localization in ensemble based Kalman filter algorithms. Monthly Weather Review, 139, 2046-2060 (doi:10.1175/2011MWR3552.1).

Nerger, L., Janjić, T., Schröter, J., Hiller, W. (2011). A regulated localization scheme for ensemble-based Kalman filters. Q. J. Roy. Meteor. Soc., in press

2009

Rollenhagen, K., Timmermann, R., Janjic, T., Schröter, J., Danilov, S.(2009). Assimilation of sea ice motion in a Finite Element Sea Ice Model, Journal of Geophysical Research, 114, C05007, doi:10.1029/2008JC005067.

2008

Skachko, S., Danilov, S., Janjic, T., Schröter, J., Sidorenko, D., Savcenko, R., Bosch, W.(2008). Sequential assimilation of multi-mission dynamical topography into a global finite-element ocean model, Ocean Science, 4, 307-318, http://www.ocean-sci.net/4/307/2008/os-4-307-2008.html.

Nerger, L., Gregg, W. W.(2008). Improving Assimilation of SeaWiFS Data by the Application of Bias Correction with a Local SEIK Filter, Journal of marine systems, 73 (2008) 87-102, doi:10.1016/j.jmarsys.2007.09.007.

2007

Nerger, L., Gregg, W. W.(2007). Assimilation of SeaWiFS data into a global ocean-biogeochemical model using a local SEIK Filter, Journal of marine systems, 68, 237-254, doi:10.1016/j.jmarsys.2006.11.009.

Nerger, L., Danilov, S., Kivman, G., Hiller, W., Schröter, J.(2007). Data assimilation with the Ensemble Kalman Filter and the SEIK filter applied to a finite element model of the North Atlantic, Journal of marine systems, 65(1/4), 288-298., doi:10.1016/j.jmarsys.2005.06.009.

2006

Nerger, L., Danilov, S., Hiller, W., Schröter, J.(2006). Using sea-level data to constrain a finite-element primitive-equation ocean model with a local SEIK filter, Ocean dynamics, 56(5/6), 634-649., doi:10.1007/s10236-006-0083-0.

2005

Nerger, L., Hiller, W., Schröter, J.(2005). A Comparison of Error Subspace Kalman Filters, Tellus series a-dynamic meteorology and oceanography, 57A(5), 715-735, doi:10.1111/j.1600-0870.2005.00141.x.

2004

Nerger, L.(2004). Parallel Filter Algorithms for Data Assimilation in Oceanography, PhD Thesis, University of Bremen, 2004 (Reports on Polar and Marine Research, 487, 174 pp.)