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publications [2018/12/17 19:48] – [2018] potthast | publications [2019/07/05 11:52] – [2019] potthast |
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* Gen Nakamura and Roland Potthast: [[https://iopscience.iop.org/book/978-0-7503-1218-9|Inverse Modeling - An introduction to the theory and methods of inverse problems and data assimilation, IOP Ebook Series 2015, 550 pages, 200 images, 170 codes.]] [[https://www.amazon.de/Inverse-Modeling-introduction-assimilation-Expanding-ebook/dp/B01BI3KEQM/|Book on Amazon]] | * Gen Nakamura and Roland Potthast: [[https://iopscience.iop.org/book/978-0-7503-1218-9|Inverse Modeling - An introduction to the theory and methods of inverse problems and data assimilation, IOP Ebook Series 2015, 550 pages, 200 images, 170 codes.]] [[https://www.amazon.de/Inverse-Modeling-introduction-assimilation-Expanding-ebook/dp/B01BI3KEQM/|Book on Amazon]] ;;;more than 20000 full book downloads!;;; |
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* Coombes, S., beim Graben, P., Potthast, R., Wright, J. (Eds.): [[http://www.springer.com/us/book/9783642545924|Neural Fields - Theory and Applications. Springer 2014]] ... ;;;more than 22500 downloads!;;; | * Coombes, S., beim Graben, P., Potthast, R., Wright, J. (Eds.): [[http://www.springer.com/us/book/9783642545924|Neural Fields - Theory and Applications. Springer 2014]] ... ;;;more than 25500 downloads!;;; |
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* Potthast, R.: [[https://www.crcpress.com/Point-Sources-and-Multipoles-in-Inverse-Scattering-Theory/Potthast/9781584882527|Point-sources and Multipoles in Inverse Scattering, Chapman & Hall, London 2001.]] | * Potthast, R.: [[https://www.crcpress.com/Point-Sources-and-Multipoles-in-Inverse-Scattering-Theory/Potthast/9781584882527|Point-sources and Multipoles in Inverse Scattering, Chapman & Hall, London 2001.]] |
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* van Leeuwen, Peter Jan; Künsch, Hans R; Nerger, Lars; Potthast, Roland; Reich, Sebastian; ,Particle filters for applications in geosciences, [[https://arxiv.org/pdf/1807.10434.pdf|arXiv preprint arXiv:1807.10434]], 2018. Submitted. | |
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* Qazi Muhammad Zaigham Zia and Roland W.E. Potthast: <color #0000aa>A Contraction Scheme for Shape Reconstruction Problems in Inverse Fluid Dynamics</color>, Submitted. | * Qazi Muhammad Zaigham Zia and Roland W.E. Potthast: <color #0000aa>A Contraction Scheme for Shape Reconstruction Problems in Inverse Fluid Dynamics</color>, Submitted. |
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===== Research Journal Papers ===== | ===== Research Journal Papers ===== |
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| ==== 2019 ==== |
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| * Yves-Marie Saint-Drenan, Stephan Vogt, Sven Killinger, Jamie M.Bright, Rafael Fritz, Roland Potthast: Bayesian parameterisation of a regional photovoltaic model – Application to forecasting, Solar Energy 2019 [[https://www.sciencedirect.com/science/article/pii/S0038092X19306279?dgcid=author|paper online]] |
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| * J. Waller, E. Bauernschubert, S.L. Dance, N.K. Nichols, R. Potthast and D. Simonin: Observation error statistics for Doppler Radar radial wind superobservations assimilated into the DWD COSMO-KENDA system, Monthly Weather Review 2019, accepted for publication. |
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| * Peter Jan van Leeuwen Hans R. Künsch Lars Nerger Roland Potthast Sebastian Reich: Particle filters for high‐dimensional geoscience applications: A review, QJRMS 2019 [[https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.3551]] |
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| * Roland Potthast, Anne Walter and Andreas Rhodin: <color #0000aa>A Localised Adaptive Particle Filter within an Operational NWP Framework</color>. Monthly Weather Review 2018, [[https://doi.org/10.1175/MWR-D-18-0028.1]]. |
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==== 2018 ==== | ==== 2018 ==== |
* A. J. Illingworth, D. Cimini, A. Haefele, M. Haeffelin, M. Hervo, S. Kotthaus, U. Löhnert, P. Martinet, I. Mattis, E. J. O’Connor, and R. Potthast: <color #0000aa>How can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? </color> BAMS 2018, [[https://doi.org/10.1175/BAMS-D-17-0231.1]]. | * A. J. Illingworth, D. Cimini, A. Haefele, M. Haeffelin, M. Hervo, S. Kotthaus, U. Löhnert, P. Martinet, I. Mattis, E. J. O’Connor, and R. Potthast: <color #0000aa>How can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? </color> BAMS 2018, [[https://doi.org/10.1175/BAMS-D-17-0231.1]]. |
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* Roland Potthast, Anne Walter and Andreas Rhodin: <color #0000aa>A Localised Adaptive Particle Filter within an Operational NWP Framework</color>. Monthly Weather Review 2018, [[https://doi.org/10.1175/MWR-D-18-0028.1]]. | * Axel Hutt und Roland Potthast: <color #0000aa>Forecast of spectral features by ensemble data assimilation, Frontiers in Applied Mathematics and Statistics</color>, section Dynamical Systems, 2018. [[https://doi.org/10.3389/fams.2018.00052]] |
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* Axel Hutt und Roland Potthast: Forecast of spectral features by ensemble data assimilation, Frontiers in Applied Mathematics and Statistics, section Dynamical Systems, accepted for publication. [[https://doi.org/10.3389/fams.2018.00052]] | |
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* Roland Potthast und Christian Welzbacher: Ultra Rapid Data Assimilation based on Ensemble Filters, Frontiers in Applied Mathematics and Statistics, 2018. doi.org/10.3389/fams.2018.00045 [[https://www.frontiersin.org/articles/10.3389/fams.2018.00045/full|Web]]. | * Roland Potthast und Christian Welzbacher: <color #0000aa>Ultra Rapid Data Assimilation based on Ensemble Filters</color>, Frontiers in Applied Mathematics and Statistics, 2018. doi.org/10.3389/fams.2018.00045 [[https://www.frontiersin.org/articles/10.3389/fams.2018.00045/full|Web]]. |
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* Ndifreke Udosen, Roland Potthast: Automated optimization of electrode locations for electrical resistivity tomography 2018 Modeling Earth Systems and Environment, pp 1-25; doi:10.1007/s40808-018-0472-7 [[https://link.springer.com/content/pdf/10.1007/s40808-018-0472-7.pdf|PDF]] | * Ndifreke Udosen, Roland Potthast: <color #0000aa>Automated optimization of electrode locations for electrical resistivity tomography</color>, 2018 Modeling Earth Systems and Environment, pp 1-25; doi:10.1007/s40808-018-0472-7 [[https://link.springer.com/content/pdf/10.1007/s40808-018-0472-7.pdf|PDF]] |
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* Jehan Alswaihli, Roland Potthast, Axel Hutt, Douglas Saddy, and Ingo Bojak. <color #0000aa>Kernel reconstruction for delayed neural field equations.</color> The Journal of Mathematical Neuroscience (JMN), accepted. [[https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0058-8|Web]] [[https://mathematical-neuroscience.springeropen.com/track/pdf/10.1186/s13408-018-0058-8|PDF]] | * Jehan Alswaihli, Roland Potthast, Axel Hutt, Douglas Saddy, and Ingo Bojak. <color #0000aa>Kernel reconstruction for delayed neural field equations.</color> The Journal of Mathematical Neuroscience (JMN), accepted. [[https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0058-8|Web]] [[https://mathematical-neuroscience.springeropen.com/track/pdf/10.1186/s13408-018-0058-8|PDF]] |