| Singularity avoidance in Bianchi I quantum cosmology C Kiefer, N Kwidzinski, D Piontek The European Physical Journal C 79, 1-12, 2019 | 37 | 2019 |
| Determination of complex refractive indices and optical properties of volcanic ashes in the thermal infrared based on generic petrological compositions D Piontek, AJ Hornby, C Voigt, L Bugliaro, J Gasteiger Journal of Volcanology and Geothermal Research 411, 107174, 2021 | 19 | 2021 |
| The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 2. Validation D Piontek, L Bugliaro, J Kar, U Schumann, F Marenco, M Plu, C Voigt Remote Sensing 13 (16), 3128, 2021 | 15 | 2021 |
| Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol … M Plu, G Bigeard, B Sič, E Emili, L Bugliaro, L El Amraoui, J Guth, B Josse, ... Natural Hazards and Earth System Sciences Discussions 2021, 1-24, 2021 | 14 | 2021 |
| The new volcanic ash satellite retrieval vacos using msg/seviri and artificial neural networks: 1. development D Piontek, L Bugliaro, M Schmidl, DK Zhou, C Voigt Remote Sensing 13 (16), 3112, 2021 | 12 | 2021 |
| An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions M Plu, B Scherllin-Pirscher, D Arnold Arias, R Baro, G Bigeard, L Bugliaro, ... Natural Hazards and Earth System Sciences 21 (10), 2973-2992, 2021 | 9 | 2021 |
| Combining radiative transfer calculations and a neural network for the remote sensing of volcanic ash using MSG/SEVIRI L Bugliaro, D Piontek, S Kox, M Schmidl, B Mayer, R Müller, ... Nat. Hazards Earth Syst. Sci. Discuss.[preprint], https://doi. org/10.5194 …, 2021 | 7 | 2021 |
| VADUGS: a neural network for the remote sensing of volcanic ash with MSG/SEVIRI trained with synthetic thermal satellite observations simulated with a radiative transfer model L Bugliaro, D Piontek, S Kox, M Schmidl, B Mayer, R Müller, ... Natural Hazards and Earth System Sciences 22 (3), 1029-1054, 2022 | 4 | 2022 |
| A tailored multi-model ensemble for air traffic management: Demonstration and evaluation for the Eyjafjallajökull eruption in May 2010 M Plu, B Scherllin-Pirscher, D Arnold Arias, R Baro, G Bigeard, L Bugliaro, ... Natural Hazards and Earth System Sciences Discussions 2021, 1-32, 2021 | 3 | 2021 |
| Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers D Piontek, L Bugliaro, R Müller, L Muser, M Jerg Remote Sensing 15 (5), 1247, 2023 | 1 | 2023 |
| Bringing to life a monitoring, reporting and verification system for aviation non-CO2 climate effects R Eichinger, V Grewe, K Dahlmann, M Niklass, A Lau, J Scheelhaase, ... EGU24, 2024 | | 2024 |
| Bayesian Cloud Top Phase Determination for Meteosat Second Generation J Mayer, L Bugliaro, B Mayer, D Piontek, C Voigt EGUsphere 2024, 1-32, 2024 | | 2024 |
| A novel machine learning-based satellite retrieval of volcanic ash for Meteosat covering the petrological variability D Piontek Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2022 | | 2022 |
| A New Algorithm for the Retrieval of Volcanic Ash Cloud Properties using MSG-SEVIRI and Artificial Neural Networks D Piontek, L Bugliaro, C Voigt, A Hornby, J Gasteiger, U Schumann, ... EGU General Assembly Conference Abstracts, EGU21-159, 2021 | | 2021 |
| Development of an Algorithm for Volcanic Ash Detection using MSG-SEVIRI and Neural Networks. D Piontek, M Vazquez-Navarro Geophysical Research Abstracts 21, 2019 | | 2019 |
Christiane VoigtProfessor, DLR and University MainzVerified email at dlr.de
