= Publications and Presentations =

[[PageOutline(2,Publications and Presentations)]]

== Presentations ==

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

[http://pdaf.awi.de/files/Nerger_EnsDA_OSM2016.pdf An introduction to Ensemble Data Assimilation],[[BR]]    Tutorial Session at Ocean Sciences Meeting 2016, New Orleans, USA, February 21-26, 2016. 

[http://pdaf.awi.de/files/NergerKirchgessner_EnsDASystem_Liege2015.pdf Building Ensemble-Based Data Assimilation Systems for High-Dimensional Models],[[BR]]    47th International Liege Colloquium, Liege, Belgium, May 4-8, 2015. 

[http://pdaf.awi.de/files/Nerger_scalableDA_Delft2011.pdf The Parallel Data Assimilation Framework PDAF for scalable sequential data assimilation],[[BR]]    Workshop on Programming Environments for Data Assimilation: Software and Applications, Deltares, Delft, Netherlands, January 31, 2011. 

[http://pdaf.awi.de/files/Nerger_scalableDA_Portland2010.pdf Scalable sequential data assimilation with the Parallel Data Assimilation Framework PDAF],[[BR]]    2010 Ocean Sciences Meeting, Portland, Oregon, February 20-26, 2010. 

[http://pdaf.awi.de/files/Nerger_PDAF_ECMWF2008.pdf Sequential data assimilation on high-performance computers with the Parallel Data Assimilation Framework],[[BR]]     13th ECMWF Workshop on High Performance Computing in Meteorology, Reading, UK, November 3-7, 2008. 

[http://pdaf.awi.de/files/Nerger_PDAF_ECMWF2004.pdf PDAF - The Parallel Data Assimilation Framework: Experiences with Kalman Filtering],[[BR]]     11th ECMWF Workshop on Use of High Performance Computing in Meteorology, Reading, UK, October 25-29, 2004. 

== Publications about PDAF ==

Nerger, L., Hiller, W. (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]

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 - by the PDAF developers ==

=== 2017 ===

Kirchgessner, P., Tödter, J., Ahrens, B., Nerger, L. (2017) The smoother extension of the nonlinear ensemble
transform filter. Tellus A, 69, 1327766, 2017 [http://dx.doi.org/10.1080/16000870.2017.1327766 doi:10.1080/16000870.2017.1327766]

=== 2016 ===

Nerger, L., Losa, S. N., Brüning T., Janssen F. (2016) The HBM-PDAF assimilation system for operational forecasts in the North and Baltic Seas, in Operational Oceanography for Sustainable Blue Growth. Proceedings of the Seventh EuroGOOS International Confer- ence. 28-30 October 2014, Lisbon, Portugal / Eds. E. Buch, Y. Antoniou, D. Eparkhina, G. Nolan. ISBN 978-2-9601883-1-8

Yang, Q., Losch, M., Losa, S., Jung, T., Nerger, L., Lavergne, T. (2016) Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation. The Cryosphere, 10, 761-774, 2016 [http://dx.doi.org/10.5194/tc-10-761-2016 doi:10.5194/tc-10-761-2016])

Yang, Q., Losch, M., Losa, S. N., Jung T., Nerger, L. (2016) Taking into account atmospheric uncertainty improves sequential assimilation of SMOS sea ice thickness data in an ice-ocean model. Journal of Atmospheric and Oceanic Technology, 33, 397-407 [http://dx.doi.org/10.1175/JTECH-D-15-0176.1 doi:10.1175/JTECH-D-15-0176.1]

Tödter, J., Kirchgessner, P., Nerger, L., Ahrens, B. (2016) Assessment of a nonlinear ensemble transform filter for high-dimensional data assimilation. Monthly Weather Review, 144, 409-427 [http://dx.doi.org/10.1175/MWR-D-15-0073.1 doi:10.1175/MWR-D-15-0073.1]

=== 2015 ===

Brune, S., Nerger, L., Baehr, J. (2015) Assimilation of oceanic observations in a global coupled Earth system
model with the SEIK filter Ocean Modelling. Ocean Modelling, 96, 254-264 [http://dx.doi.org/10.1016/j.ocemod.2015.09.011 doi:10.1016/j.ocemod.2015.09.011]

Yang, Q., Losa, S. N., Losch, M., Jung, T., Nerger, L. (2015) The role of atmospheric uncertainty in Arctic summer sea
ice data assimilation and prediction. Quarterly Journal of the Royal Meteorological Society, 141, 2314-2323 [http://dx.doi.org/10.1002/qj.2523 doi:10.1002/qj.2523]

Nerger, L. (2015) On serial observation processing in localized ensemble Kalman filters. Monthly Weather Review, 143, 1554-1567 [http://dx.doi.org/10.1175/MWR-D-14-00182.1 doi:10.1175/MWR-D-14-00182.1] 

Yang, Q., Losa, S. N., Losch, M., Liu, J. , Zhang, Z., Nerger, L., Yang, H. (2015) Assimilating summer sea ice concentration into a coupled ice-ocean model using a local SEIK filter. Annals of Glaciology, 56(69), 39-44, [http://dx.doi.org/10.3189/2015AoG69A740 doi:10.3189/2015AoG69A740]

=== 2014 ===

Kirchgessner, P., Nerger, L., Bunse-Gerstner, A. (2014) On the choice of an optimal localization radius in ensemble Kalman filter methods. Monthly Weather Review, 142, 2165-2175, [http://dx.doi.org/10.1175/MWR-D-13-00246.1 doi:10.1175/MWR-D-13-00246.1]

Losa, S.N., Danilov, S., Schröter, J., Janjic, T., Nerger, L., Janssen, F. (2014). Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Part 2. Sensitivity of the forecast's skill to the prior model error statistics. Journal of Marine Systems, 129, 259-270  [http://dx.doi.org/10.1016/j.jmarsys.2013.06.011 doi:10.1016/j.jmarsys.2013.06.011]

Nerger, L., Schulte, S., Bunse-Gerstner, A. (2014) On the influence of model nonlinearity and localization on ensemble Kalman smoothing. Quarterly Journal of the Royal Meteorological Society, 140, 2249-2259, [http://dx.doi.org/10.1002/qj.2293 doi:10.1002/qj.2293]

Yang, Q., Losa, S. N., Losch, M., Tian-Kunze, X., Nerger, L., Liu, J., Kaleschke, L., Zhang, Z. (2014) Assimilating SMOS sea ice thickness into a coupled ice-ocean model using a local SEIK filter. Journal of Geophysical Research-Oceans, 119, 6680-6692, [http://dx.doi.org/10.1002/2014JC009963 doi:10.1002/2014JC009963]

=== 2013 ===

Fournier, A., Nerger, L., Aubert, J. (2013). An ensemble Kalman filter for the time-dependent analysis of the geomagnetic field. Geochemistry, Geophysics, Geosystems, 14, 4035-4043 [http://dx.doi.org/10.1002/ggge.20252 doi:10.1002/ggge.20252]

=== 2012 ===

Nerger, L., Janjić, T., Schröter, J., Hiller, W. (2012). A unification of ensemble square root Kalman filters. Monthly Weather Review, 140, 2335-2345. [http://dx.doi.org/doi:10.1175/MWR-D-11-00102.1 doi:10.1175/MWR-D-11-00102.1]

Nerger, L., Janjić, T., Schröter, J., Hiller, W. (2012). A regulated localization scheme for ensemble-based Kalman filters. Quarterly Journal of the Royal Meteorological Society, 138, 802-812. [http://dx.doi.org/doi:10.1002/qj.945 doi:10.1002/qj.945].

Losa, S.N., Danilov, S., Schröter, J., Nerger, L., Massmann, S., Janssen, F. (2012). Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Inference about the data. Journal of Marine Systems, 105-108, pp. 152-162. [http://dx.doi.org/10.1016/j.jmarsys.2012.07.008 doi:10.1016/j.jmarsys.2012.07.008]

=== 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 [http://dx.doi.org/10.1175/2011MWR3552.1 doi:10.1175/2011MWR3552.1].
 
=== 2008 === 

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, [http://dx.doi.org/10.1016/j.jmarsys.2007.09.007 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, [http://dx.doi.org/10.1016/j.jmarsys.2006.11.009 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., [http://dx.doi.org/10.1016/j.jmarsys.2005.06.009 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., [http://dx.doi.org/10.1007/s10236-006-0083-0 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, [http://dx.doi.org/10.1111/j.1600-0870.2005.00141.x 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 ([http://www.awi.de/en/infrastructure/library/awi_periodicals/reports_on_polar_and_marine_research/ Reports on Polar and Marine Research], 487, 174 pp.)



== Publications by PDAF users ==

(This list is likely incomplete. If you see a paper missing, please write to us at pdaf _at_ awi _dot_ de)

=== 2016 ===

Kurtz, W., G. He, S. J. Kollet, R. M. Maxwell, H. Vereecken, H.-J. Hendrics Franssen (2016): TerrSysMP–PDAF (version 1.0): a modular high-performance data
assimilation framework for an integrated land surface–subsurface model. Geoscientific Model Developement, 9, 1341-1360, 2016 [http://dx.doi.org/10.5194/gmd-9-1341-2016]

=== 2012 ===

Janjić, T., Schröter, J., Savcenko, R., Bosch, W., Albertella, A., Rummel, R., Klatt, O. (2012). Impact of combining GRACE and GOCE gravity data on ocean circulation estimates. Ocean Science, 8, 65-79 [http://dx.doi.org/doi:10.5194/os-8-65-2012 doi:10.5194/os-8-65-2012].

Janjić, T., Schröter, J., Albertella, A., Bosch, W., Rummel, R., Savcenko, R., Schwabe, J., Scheinert, M. (2012). Assimilation of geodetic dynamic ocean topography using ensemble based Kalman filter. Journal of Geodynamics, 59-60, pp. 92-98 [http://dx.doi.org/doi:10.5194/os-8-65-2012 doi:10.5194/os-8-65-2012].

Saynisch, J., Thomas, M. (2012). Ensemble Kalman‐Filtering of Earth rotation observations with aglobal ocean model. Journal of Geodynamics, 62, 24‐29 [http://dx.doi.org/10.1016/j.jog.2011.10.003 doi:10.1016/j.jog.2011.10.003]

=== 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, [http://dx.doi.org/10.1029/2008JC005067 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://dx.doi.org/10.5194/os-4-307-2008 doi:10.5194/os-4-307-2008].