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--- publications [2023/09/11 12:32] – potthast
+++ publications [2023/12/09 11:42] (current) – [2021] potthast
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 ==== 2023 ====
-  * 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, acceted, [[https://arxiv.org/abs/2305.03548]]
+  * 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.
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 ==== 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]]
+  * 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]]