| 25 | | Nerger, L., Tang, Q., Mu, L. (2020). Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM. Geoscientific Model Development, 13, 4305–4321, [https://doi.org/10.5194/gmd-13-4305-2020 doi:10.5194/gmd-13-4305-2020] |
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| 29 | | 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. [http://doi.org/10.1142/9789812701831_0006 doi:10.1142/9789812701831_0006] [http://hdl.handle.net/10013/epic.22580 preprint] |
| | 25 | Chen, Y., L. Nerger, A. S. Lawless (2025) A Python interface to the Fortran-based Parallel Data Assimilation Framework: pyPDAF v1.0.2. Geoscientific Model Development, 18, 8235-8252, [https://doi.org/10.5194/gmd-18-8235-2025 doi:10.5194/gmd-18-8235-2025] |
| | 26 | |
| | 27 | Nerger, L., Q. Tang, L. Mu (2020). Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM. Geoscientific Model Development, 13, 4305–4321, [https://doi.org/10.5194/gmd-13-4305-2020 doi:10.5194/gmd-13-4305-2020] |
| | 28 | |
| | 29 | Nerger, L., W. Hiller (2013). Software for Ensemble-based Data Assimilation Systems - Implementation Strategies and Scalability. Computers and Geosciences, 55, 110-118. [http://dx.doi.org/10.1016/j.cageo.2012.03.026 doi:10.1016/j.cageo.2012.03.026] |
| | 30 | |
| | 31 | Nerger, L., W. Hiller, J. Schröter (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. [http://doi.org/10.1142/9789812701831_0006 doi:10.1142/9789812701831_0006] [http://hdl.handle.net/10013/epic.22580 preprint] |
| | 32 | |