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publications [2018/12/17 19:52] – [2018] potthastpublications [2023/12/09 11:42] (current) – [2021] potthast
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 ====== Publications ====== ====== Publications ======
  
-See also [[http://www.ams.org/mathscinet/mrcit/individual.html?mrauthid=348650|AMS>Mathscinet>Potthast, R]] or+See also [[https://mathscinet.ams.org/mathscinet/author?authorId=348650]] or
 [[http://scholar.google.com/citations?user=I0RXjFQAAAAJ|R Potthast on Google Scolar]] or [[http://scholar.google.com/citations?user=I0RXjFQAAAAJ|R Potthast on Google Scolar]] or
-ResearcherID: F-2265-2013, compare http://www.researcherid.com/rid/F-2265-2013 or Orcid: http://orcid.org/0000-0001-6794-2500[[https://www.mendeley.com/profiles/roland-potthast/|Roland on Mendeley]].+[[https://www.scopus.com/authid/detail.uri?authorId=56597775000|Scopus]],  
 +ResearcherID: F-2265-2013, compare http://www.researcherid.com/rid/F-2265-2013 or Orcid: http://orcid.org/0000-0001-6794-2500
 + 
 +Note that citation rates vary by a large factor between disciplines [[https://www.sciencedirect.com/science/article/pii/S2405844016322800|average citation rates]]. 
  
 [[https://iopscience.iop.org/book/978-0-7503-1218-9|{{book_cover.png?140}}]] [[https://iopscience.iop.org/book/978-0-7503-1218-9|{{book_cover.png?140}}]]
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 [[https://link.springer.com/referencework/10.1007%2F978-1-4614-7320-6|{{9781461466741.jpg?135}}]] [[https://link.springer.com/referencework/10.1007%2F978-1-4614-7320-6|{{9781461466741.jpg?135}}]]
 [[https://link.springer.com/chapter/10.1007/978-3-7091-1649-4_7|{{978-3-7091-1649-4.jpg?128}}]] [[https://link.springer.com/chapter/10.1007/978-3-7091-1649-4_7|{{978-3-7091-1649-4.jpg?128}}]]
 +[[https://www.frontiersin.org/research-topics/6898/data-assimilation-and-control-theory-and-applications-in-life-sciences|{{http://scienceatlas.com/potthast/_media/book2019.png?146}}]]
  
  
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 <box 100% round #cceecc| > <box 100% round #cceecc| >
  
-  * 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!;;;
  
-  * 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!;;;
  
   * 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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   * <color #0000cc>Mathematical Foundations of Public Policy</color>, Correspondence Course, University of Erfurt 2002.   * <color #0000cc>Mathematical Foundations of Public Policy</color>, Correspondence Course, University of Erfurt 2002.
-</box> 
- 
----- 
-===== Preprints and Current Work ===== 
- 
-<box 100% round #eeeeff> 
-  * 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.  
- 
- 
-  * Qazi Muhammad Zaigham Zia and Roland W.E. Potthast: <color #0000aa>A Contraction Scheme for Shape Reconstruction Problems in Inverse Fluid Dynamics</color>, Submitted.  
- 
-  * Michael Bender, Andreas Rhodin, Christoph Schraff, Klaus Stephan, and Roland Potthast: <color #0000aa>A Slant Total Delay Observation Operator for ICON and COSMO</color>, Submitted.   
- 
- 
-Research Notes: [[research_notes]] ... \\ 
-Papers on hold (most is now in the book Inverse Modeling): [[other_work_ongoing]] ...  
 </box> </box>
  
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 <color #cc0000>leading to an average citation per article of 3.48 in a decade. </color> <color #cc0000>leading to an average citation per article of 3.48 in a decade. </color>
  
-{{mathscinet_2017_07_25.png?400x100 }}+{{mathscinet_2022_01.png?300 }}
 <color #cc0000> <color #cc0000>
-For the full research articles below in 08/2018 around 1401citations are recorded by Thompson, which +For the full research articles below in 1/2022 around 2635 citations are recorded by Scopus, which 
-is an average of 17.51 citations per article with an h-index of 20. Google Scholar records 3540 citations,  +is an average of more than 21 citations per article (121 documents) with an h-index of 26 
-an h-index of 30 and an i10-index of 64. Mendeley reports 1568 citations and an h-index of 22+Google Scholar records 4803 citations (1689 since 2017),  
 +an h-index of 35 (20 since 2017) and an i10-index of 78 (45 since 2017)
 The map on the right indicates the location of institutions The map on the right indicates the location of institutions
-citing the articles. The citation list of the MathSciNet database is indicated below. </color>+citing the articles. MathSciNet in 01/2022 shows 1295 citations by 691, compare image. </color>
  
 <color #cc0000>  <color #cc0000> 
 Today, often citation metrics play an important role in judging scientists. But we need to understand that Today, often citation metrics play an important role in judging scientists. But we need to understand that
-citation counts rather reflect the activity in some layer of science or some particular field rather than the quality of the science of a researcher. +citation counts rather reflect the activity in some layer of science or some particular field rather than the quality of the science of a researcher. In the last years, my work is moving step by step towards enabling scientists to do their work, getting the money in for them to do the research and to shape the programs which enable them to make progress
 </color> </color>
- 
 </box> </box>
 ---- ----
-===== Research Journal Papers =====+===== Research Journal Papers and Books ===== 
 + 
 +==== under review ==== 
 + 
 + 
 +   
 + 
 +==== 2023 ==== 
 + 
 +  * Amalia Iriza Burca, Rodica C. Dumitrache, Bogdan A. Maco, Mihaita Hustiu, Felix Fundel, Daniel Rieger, Roland Potthast: Comparison of COSMO and ICON-LAM High-resolution Numerical Forecast for Romanian Territory: Case Studies and Evaluation, Atmosfera 2023, accepted for publication.  
 + 
 +  * Dan Crisan, Oana Lang, Alexander Lobbe, Peter Jan Van Leeuwen and Roland Potthast, Noise calibration for the stochastic rotating shallow water model, Foundations of Data Science, accepted, [[https://arxiv.org/abs/2305.03548]] 
 + 
 +  * Baur, F., Scheck, L., Stumpf, C., Köpken-Watts, C., and Potthast, R.: A neural network-based method for generating synthetic 1.6 μm near-infrared satellite images, EGUsphere accepted, [[https://doi.org/10.5194/egusphere-2023-353]], 2023. 
 + 
 +  * Jannik Wilhelm, Kathrin Wapler, Ulrich Blahak, Roland Potthast, Michael Kunz: Statistical relevance of meteorological ambient conditions for nowcasting the life cycle of convective storms, QJRMS [[https://doi.org/10.1002/qj.4505|https://doi.org/10.1002/qj.4505]] 
 + 
 +  * Shigenori Otsuka1, Taeka Awazu, Christian Welzbacher, Roland Potthast, and Takemasa Miyoshi: Assimilating precipitation features based on the fractions skill score: an idealized study with an intermediate AGCM. Book Chapter of "NWP - an East Asian Perspective", accepted for publication.  
 + 
 +  * Anne Walter, Nora Schenk, Peter-Jan van Leeuwen, Roland Potthast: Particle Filtering and Gaussian Mixtures - On a Localized Mixture Coefficients Particle Filter (LMCPF) for global NWP, J. Meteor. Soc. Japan, 101 [[https://doi.org/10.2151/jmsj.2023-015]] [[https://arxiv.org/abs/2206.07433]] 
 + 
 +  * Maria Reinhardt, Sybille Y. Schoger, Frederik Kurzrock, Roland Potthast: Convective-scale Assimilation of Cloud Cover from Photographs using a Machine Learning Forward Operator, Artificial Intelligence for the Earth Systems (AMS) 2023 [[https://doi.org/10.1175/AIES-D-22-0025.1]]. 
 +==== 2022 ==== 
 +<box 100% round #eeffee> 
 + 
 +  * Kotsuki, S., Miyoshi, T., Kondo K., and Potthast R. (2022): A Local Particle Filter and Its Gaussian Mixture Extension Implemented with Minor Modifications to the LETKF. Geosci. Model Dev., (in print) https://gmd.copernicus.org/preprints/gmd-2022-69/ 
 + 
 +  * Oana Lang, Peter Jan van Leeuwen, Dan Crisan and Roland Potthast: Bayesian Inference for Fluid Dynamics: A Case Study for the Stochastic Rotating Shallow Water Model, Frontiers in Applied Mathematics and Statistics, accepted. [[https://arxiv.org/abs/2112.15216]] [[https://arxiv.org/pdf/2112.15216.pdf|pdf]] [[https://www.frontiersin.org/articles/10.3389/fams.2022.949354/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Applied_Mathematics_and_Statistics&id=949354|Web]] 
 + 
 +  * Takashi Furuya and Roland Potthast: Inverse medium scattering problems with Kalman filter techniques", Inverse Problems 2022. [[https://iopscience.iop.org/article/10.1088/1361-6420/ac836f]] 
 + 
 +  * Nora Schenk, Anne Walter und Roland Potthast: On Two Localized Particle Filter Methods for Lorenz 1963 and 1996 Models, Frontiers in Applied Mathematics and Statistics, section Dynamical Systems, 2022, [[https://www.frontiersin.org/articles/10.3389/fams.2022.920186/abstract]]. 
 + 
 + 
 +  * Christine Sgoff, Walter Acevedo, Zoi Paschalidi, Sven Ulbrich, Elisabeth Bauernschubert, Thomas Kratzsch, Roland Potthast: Assimilation of crowd-sourced surface observations over Germany into a Regional Weather Prediction System, QJRMS, 2022, [[https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/qj.4276]]  
 + 
 + 
 +  * Roland Potthast, Klaus Vobig, Ulrich Blahak, Clemens Simmer: Data Assimilation of Nowcasted Observations, MWR, 2022, [[https://doi.org/10.1175/MWR-D-21-0017.1]].  
 + 
 +  * World Bank. ICON-In-the-Cloud (ICONIC) : Piloting Numerical Weather Prediction on Commercial Cloud Services for Central Asia (English). Washington, D.C. : World Bank Group. [[http://documents.worldbank.org/curated/en/099357409192232700/IDU0a9852b0f0154e049a908e8405a45999ef5a7|PDF]] 
 + 
 +</box> 
 +==== 2021 ==== 
 + 
 +  * Bastian Harrach, Tim Jahn, Roland Potthast: Regularising linear inverse problems under unknown non-Gaussian white noise allowing repeated measurements, IMA Journal on Numerical Analysis 2021, accepted. [[https://arxiv.org/abs/2010.04519]] https://doi.org/10.1093/imanum/drab098 
 + 
 +  * Klaus Vobig, Klaus Stephan, Ulrich Blahak, Kobra Khosravian, Roland Potthast: Targeted Covariance Inflation for 3D-Volume RADAR Reflectivity Assimilation with the LETKF", QJRMS 2021. [[https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/qj.4157|Web]] 
 + 
 +  * Silke Trömel, Christian Chwala, Carina Furusho, Cintia Carbajal Henken, Julius Polz, Roland Potthast, Ricardo Reinoso-Rondinel, and Clemens Simmer: Near-Realtime Quantitative Precipitation Estimation and Prediction (RealPEP), BAMS 2021. https://doi.org/10.1175/BAMS-D-21-0073.1 
 + 
 +  * Yi-Hsuan Lin, Gen Nakamura, Roland Potthast, Haibing Wang: Duality between range and no-response tests and its application for inverse problems, Inverse Problems and Imaging, 2021. [[https://www.aimsciences.org/article/doi/10.3934/ipi.2020072|PDF]] 
 + 
 +  * J. Otkin, R. Potthast and A. Lawless: Nonlinear Conditional Model Bias Estimation for Data Assimilation, SIADS 2021. [[https://epubs.siam.org/doi/abs/10.1137/19M1294848|PDF]] 
 + 
 +  * A. Hutt, M. Bocquet, A. Carrassi, L. Lei and R. Potthast: Data Assimilation of Nonlocal Observations in Complex Systems, Editorial, Front. Appl. Math. Stat., 28 May 2021 | https://doi.org/10.3389/fams.2021.658272, [[https://internal-journal.frontiersin.org/articles/10.3389/fams.2021.658272/full|Web]] 
 +==== 2020 ==== 
 +<box 100% round #eeffee> 
 + 
 + 
 +  * R. Potthast: Ensemble Data Assimilation for Estimating Analysis Uncertainty, Book Chapter in Haraldur Olafsson Jian-Wen Bao (Editors): "Uncertainties in Numerical Weather Prediction" [[https://www.elsevier.com/books/uncertainties-in-numerical-weather-prediction/olafsson/978-0-12-815491-5|Book Webpage]] [[https://doi.org/10.1016/B978-0-12-815491-5.00006-9]] 
 + 
 +  * C. Sgoff, A. Schomburg, J. Schmidli, R. Potthast: Assimilating satellite-derived land surface temperature in a coupled land-atmosphere model, QJRMS [[https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/qj.3883|PDF]].  
 + 
 +  * Frank Kaspar, Deborah Niermann, Michael Borsche, Stephanie Fiedler, Jan Keller, Roland Potthast, Thomas Rösch, Thomas Spangehl, Birger Tinz:  Regional reanalysis at Deutscher Wetterdienst: Review of evaluation results and application examples, Advances in Science and Research, [[https://asr.copernicus.org/articles/17/115/2020/|PDF]].  
 + 
 +  * B. von Harrach, T. Jahn and R. Potthast: Beyond the Bakushinkii veto: Regularising linear inverse problems without knowing the noise distribution, 2020, Numerische Mathematik. [[https://link.springer.com/article/10.1007/s00211-020-01122-2|PDF]], see also [[https://arxiv.org/abs/1811.06721]] 
 + 
 +  * Axel Hutt, C. Schraff, H. Anlauf, L. Bach, M. Baldauf, E. Bauernschubert, A. Cress, R. Faulwetter, F. Fundel, C. Köpken-Watts, H. Reich, A. Schomburg, J. Schröttle, K. Stephan, O. Stiller, M. Weissmann and R. Potthast, Assimilation of SEVIRI Water Vapor Channels With an Ensemble Kalman Filter on the Convective Scale, Front. Earth Sci., 12 March 2020, [[https://www.frontiersin.org/articles/10.3389/feart.2020.00070/full]] 
 + 
 +  * Guergana Guerova, G. MöllerE. Pottiaux, H. Brenot, R. Van Malderen, H. Haralambous, F. Tymvios J. Douša, M. KačmaříkK. Eben, H. Vedel, K. Rannat, R. Kivi, A.-M. Harri, O. Bock, J. F. Mahfouf, J. Wickert, G. Dick, R. Potthast, S. CrewellC. Pikridas, N. Zinas, A. Ganas, R. Szabolcs, M. Mile, S. Thorsteinsson, B. G. Ófeigsson, Y. Reuveni, S. Krichak, R. Pacione, G. Bianco, R. Biondi, G. Stankunavicius, F. N. Teferle, J. Bosy, J. Kaplon, K. Szafranek, R. Fernandes, P. Viterbo, A. SáJ. Hefty, M. H. Igondova, E. Priego, G. Elgered, M. Lindskog, M. Ridal, U. Willén, T. Ning, E. Brockmann, K. Wilgan, A. Geiger, C. Mekik, J. Jones, Z. Liu, B. Chen, C. Wang, S. Masoumi, M. Moore, S. MacPherson (2020): //National Status Reports.// In: Jones J. et al. (eds) //Advanced GNSS Tropospheric Products for Monitoring Severe Weather Events and Climate.// Springer, Cham [[https://link.springer.com/chapter/10.1007/978-3-030-13901-8_6|PDF]] 
 + 
 +</box> 
 +==== 2019 ==== 
 + 
 +  * Axel Hutt , Wilhelm Stannat and Roland Potthast (Editors): Data Assimilation and Control: Theory and Applications in Life, 2019, Front. Appl. Math. Stat. doi: 10.3389/fams.2019.00025 [[https://www.frontiersin.org/research-topics/6898/data-assimilation-and-control-theory-and-applications-in-life-sciences|Web and PDF]] 
 + 
 +  * J. Otkin and R. Potthast: Assimilation of All-Sky SEVIRI Infrared Brightness Temperatures in a regional-scale Ensemble Data Assimilation System", MWR Monthly Weather Review, accepted for publication [[http://journals.ametsoc.org/doi/pdf/10.1175/MWR-D-19-0133.1|PDF]]  
 + 
 +  * 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|PDF]] 
 + 
 +  * 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, [[https://journals.ametsoc.org/doi/pdf/10.1175/MWR-D-19-0104.1|PDF]].  
 + 
 +  * 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]] 
 + 
 +  * 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]].  
 + 
 +  * Meike Hellweg, Jens Nachtigall, Thomas Kratzsch, Roland Potthast, Hella Riede, Zoi Paschalidi, Alexandros Boura, Walter Acevedo, Christoph Stiller. Fleet Weather Map - A Project to Integrate Fleet Data into the Field of Automated Driving. In 2019 Joined Conference and Exhibition of Transportation Association Canada and Intelligent Transportation Systems Canada (TAC-ITSC), September 2019. [[https://www.tac-atc.ca/en/conference/papers/fleet-weather-map-project-integrate-weather-field-autonomous-driving|Web]] [[https://www.tac-atc.ca/sites/default/files/conf_papers/hellwegm_fleetweathermap_20190426.pdf|PDF]]
  
 ==== 2018 ==== ==== 2018 ====
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   * 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]]. 
- 
-  * 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]]   * 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]]
publications.1545072728.txt.gz · Last modified: 2023/03/28 09:14 (external edit)