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user:mmaahn [2025/01/10 13:00] – Maximilian Maahn | user:mmaahn [2025/04/01 08:05] (current) – [Publications] Maximilian Maahn | ||
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< | < | ||
Institut für Meteorologie\\ | Institut für Meteorologie\\ | ||
- | Stephanstraße 3, Room 7\\ | + | Stephanstraße 3, Room 111\\ |
04103 Leipzig | 04103 Leipzig | ||
</ | </ | ||
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- | Maximilian Maahn joined the Leipzig Institute for Meteorology in July 2020 and leads the drOPS (clouD and pRecipitation Observations for Process Studies) group. His main research interests include enhancing radar observations of polar clouds and precipitation and understanding | + | Maximilian Maahn joined the Leipzig Institute for Meteorology in July 2020 and leads the drOPS (clouD and pRecipitation Observations for Process Studies) group. His main research interests include enhancing radar observations of polar clouds and precipitation and using these observations for understanding |
===== CV ===== | ===== CV ===== | ||
**Professional career** | **Professional career** | ||
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* 01/2009 - 06/2009: University Centre in Svalbard: Semester abroad | * 01/2009 - 06/2009: University Centre in Svalbard: Semester abroad | ||
* 10/2005 - 11/2010: Bonn University: Meteorology (Diplom). Thesis: Measuring Precipitation with Micro Rain Radars in Svalbard. | * 10/2005 - 11/2010: Bonn University: Meteorology (Diplom). Thesis: Measuring Precipitation with Micro Rain Radars in Svalbard. | ||
+ | **Qualifications** | ||
+ | * 11/2024: Mental Health First Aid (MHFA) first aider | ||
===== Teaching ===== | ===== Teaching ===== | ||
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* Member [[https:// | * Member [[https:// | ||
* Editor [[https:// | * Editor [[https:// | ||
- | * Reviewer | + | * Reviewer: |
* Conference Program Committee Member: [[https:// | * Conference Program Committee Member: [[https:// | ||
* Organizer: Young Scientists Networking Meeting at the AMS 38th Conference on Radar Meteorology 2017 | * Organizer: Young Scientists Networking Meeting at the AMS 38th Conference on Radar Meteorology 2017 | ||
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===== Publications ===== | ===== Publications ===== | ||
- | drOPS team members are __underlined__. //Data (DXX) und code (CXX) publications are in italic.// | + | drOPS team members are in **bold**. //Data (DXX) und code (CXX) publications are in italic.// |
**Submitted/ | **Submitted/ | ||
- | 43) __Maherndl, N.__, A. Battaglia, A. Kötsche, and **M. Maahn**, 2025: Riming-dependent snowfall rate and ice water content retrievals for W-band cloud radar. | + | 44) Kötsche, A., A. Myagkov, **M. Maahn**, **V. Ettrichraetz**, |
+ | 43) **Maherndl, N.**, A. Battaglia, A. Kötsche, and **M. Maahn**, 2025: Riming-dependent snowfall rate and ice water content retrievals for W-band cloud radar. EGUsphere (**in review for AMT**), 1–27, https:// | ||
42) Scarsi, F. E., A. Battaglia, **M. Maahn**, and S. Lhermitte, 2024: How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates. **EGUsphere (in review for TC)**, 1–23, | 42) Scarsi, F. E., A. Battaglia, **M. Maahn**, and S. Lhermitte, 2024: How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates. **EGUsphere (in review for TC)**, 1–23, | ||
- | 41) Ehrlich, A., S. Crewell, A. Herber, M. Klingebiel, C. Lüpkes, M. Mech, S. Becker, S. Borrmann, H. Bozem, M. Buschmann, H.-C. Clemen, E. De La Torre Castro, H. Dorff, R. Dupuy, O. Eppers, F. Ewald, G. George, A. Giez, S. Grawe, C. Gourbeyre, J. Hartmann, E. Jäkel, P. Joppe, O. Jourdan, Z. Jurányi, B. Kirbus, J. Lucke, A. E. Luebke, | + | |
+ | **2025** | ||
+ | |||
+ | 41) Ehrlich, A., and coauthors (including | ||
**2024** | **2024** | ||
- | 40) __Maherndl, N.__, M. Moser, | + | 40) **Maherndl, N.**, M. Moser, |
- | 39) Wendisch, M., and coauthors (including **M. Maahn**, | + | 39) Wendisch, M., and coauthors (including **M. Maahn**, |
38) Mahecha, M. D., A. Bastos, F. J. Bohn, N. Eisenhauer, H. Feilhauer, T. Hickler, H. Kalesse-Los, | 38) Mahecha, M. D., A. Bastos, F. J. Bohn, N. Eisenhauer, H. Feilhauer, T. Hickler, H. Kalesse-Los, | ||
37) Lee, J., P. Seifert, T. Hashino, **M. Maahn**, F. Senf, and O. Knoth, 2024: Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds. Atmospheric Chemistry and Physics, 24, 5737–5756, | 37) Lee, J., P. Seifert, T. Hashino, **M. Maahn**, F. Senf, and O. Knoth, 2024: Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds. Atmospheric Chemistry and Physics, 24, 5737–5756, | ||
- | 36) __Maherndl, N.__, M. Moser, J. Lucke, M. Mech, N. Risse, I. Schirmacher, | + | 36) **Maherndl, N.**, M. Moser, J. Lucke, M. Mech, N. Risse, I. Schirmacher, |
- | 35) **Maahn, M.**, D. Moisseev, | + | 35) **Maahn, M.**, D. Moisseev, |
D10) //Ehrlich, A., M. Wendisch, S. Crewell, C. Lüpkes, M. Mech, M. Klingebiel, F. Ament, S. Borrmann, H. Dorff, F. Ewald, G. George, I. Gorodetskaya, | D10) //Ehrlich, A., M. Wendisch, S. Crewell, C. Lüpkes, M. Mech, M. Klingebiel, F. Ament, S. Borrmann, H. Dorff, F. Ewald, G. George, I. Gorodetskaya, | ||
- | D9) //**Maahn, M.**, and __N. Maherndl__, 2024: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (July 2022 - December 2023). https:// | + | D9) //**Maahn, M.**, and **N. Maherndl**, 2024: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (July 2022 - December 2023). https:// |
D8) //**Maahn, M.**, and S. Wolter, 2024: Hardware design of the Video In Situ Snowfall Sensor v3 (VISSS3). https:// | D8) //**Maahn, M.**, and S. Wolter, 2024: Hardware design of the Video In Situ Snowfall Sensor v3 (VISSS3). https:// | ||
- | D7) //**Maahn, M.**, __V. Ettrichraetz__, and __I. Steinke__, 2024: VISSS Raw data from SAIL at Gothic from November 2022 to June 2023, https:// | + | D7) //**Maahn, M.**, **V. Ettrichraetz**, and **I. Steinke**, 2024: VISSS Raw data from SAIL at Gothic from November 2022 to June 2023, https:// |
**2023** | **2023** | ||
34) Rizik, A., A. Battaglia, F. Tridon, F. E. Scarsi, A. Kötsche, H. Kalesse-Los, | 34) Rizik, A., A. Battaglia, F. Tridon, F. E. Scarsi, A. Kötsche, H. Kalesse-Los, | ||
- | 33) __Maherndl, N.__, **M. Maahn**, F. Tridon, J. Leinonen, D. Ori, and S. Kneifel, 2023: A riming-dependent parameterization of scattering by snowflakes using the self-similar Rayleigh–Gans approximation. Q.J.R. Meteorol. Soc., https:// | + | 33) **Maherndl, N.**, **M. Maahn**, F. Tridon, J. Leinonen, D. Ori, and S. Kneifel, 2023: A riming-dependent parameterization of scattering by snowflakes using the self-similar Rayleigh–Gans approximation. Q.J.R. Meteorol. Soc., https:// |
32) Wendisch, M., and Coauthors (including **M. Maahn**), 2023: Atmospheric and Surface Processes, and Feedback Mechanisms Determining Arctic Amplification: | 32) Wendisch, M., and Coauthors (including **M. Maahn**), 2023: Atmospheric and Surface Processes, and Feedback Mechanisms Determining Arctic Amplification: | ||
C5) //**Maahn, M.**, 2023: Video In Situ Snowfall Sensor (VISSS) data processing library | C5) //**Maahn, M.**, 2023: Video In Situ Snowfall Sensor (VISSS) data processing library | ||
C4) //**Maahn, M.**, 2023: Video In Situ Snowfall Sensor (VISSS) data acquisition software V0.3.1. https:// | C4) //**Maahn, M.**, 2023: Video In Situ Snowfall Sensor (VISSS) data acquisition software V0.3.1. https:// | ||
- | D6) // __Maherndl. N.__, **Maahn, M.**, F. Tridon, J. Leinonen, D. Ori, and S. Kneifel, 2023: Data set of simulated rimed aggregates for “A riming-dependent parameterization of scattering by snowflakes using the self-similar Rayleigh-Gans approximation.” https:// | + | D6) // **Maherndl. N.**, **Maahn, M.**, F. Tridon, J. Leinonen, D. Ori, and S. Kneifel, 2023: Data set of simulated rimed aggregates for “A riming-dependent parameterization of scattering by snowflakes using the self-similar Rayleigh-Gans approximation.” https:// |
- | D5) // **Maahn, M.**, and __N. Maherndl__, 2023: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (2021-2023). https:// | + | D5) // **Maahn, M.**, and **N. Maherndl**, 2023: Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (2021-2023). https:// |
D4) // **Maahn, M.**, and D. Moisseev, 2023: Video In Situ Snowfall Sensor (VISSS) data for Hyytiälä (2021-2022). https:// | D4) // **Maahn, M.**, and D. Moisseev, 2023: Video In Situ Snowfall Sensor (VISSS) data for Hyytiälä (2021-2022). https:// | ||
D3) //**Maahn, M.**, C. J. Cox, M. R. Gallagher, J. K. Hutchings, M. D. Shupe, and U. Taneil, 2023: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN (2019-2020). https:// | D3) //**Maahn, M.**, C. J. Cox, M. R. Gallagher, J. K. Hutchings, M. D. Shupe, and U. Taneil, 2023: Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN (2019-2020). https:// | ||
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**2020** | **2020** | ||
- | 25) **Maahn, M.**, D. D. Turner, U. Löhnert, D. J. Posselt, K. Ebell, G. G. Mace, and J. M. Comstock, 2020: Optimal Estimation Retrievals and Their Uncertainties: | + | 25) **Maahn, M.**, D. D. Turner, U. Löhnert, D. J. Posselt, K. Ebell, G. G. Mace, and J. M. Comstock, 2020: Optimal Estimation Retrievals and Their Uncertainties: |
24) Matrosov, S. Y., A. V. Ryzhkov, **M. Maahn**, and G. de Boer, 2020: Hydrometeor Shape Variability in Snowfall as Retrieved from Polarimetric Radar Measurements. J. Appl. Meteor. Climatol., 59, 1503–1517, | 24) Matrosov, S. Y., A. V. Ryzhkov, **M. Maahn**, and G. de Boer, 2020: Hydrometeor Shape Variability in Snowfall as Retrieved from Polarimetric Radar Measurements. J. Appl. Meteor. Climatol., 59, 1503–1517, | ||
23) Mech, M., **M. Maahn**, S. Kneifel, D. Ori, E. Orlandi, P. Kollias, V. Schemann, and S. Crewell, 2020: PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere. Geosci. Model Dev., 13, 4229–4251, | 23) Mech, M., **M. Maahn**, S. Kneifel, D. Ori, E. Orlandi, P. Kollias, V. Schemann, and S. Crewell, 2020: PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere. Geosci. Model Dev., 13, 4229–4251, |