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--- publications:reviewed_e [2025/03/09 22:29] – uli
+++ publications:reviewed_e [2025/06/11 09:14] (current) – bernhard
@@ Line 5: / Line 5: @@
 ==== Submitted ====
-Burchart, Y., **B. Pospichal**, R. Neggers: Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions, submitted to //J. Adv. Model. Earth Syst.//, 28 Oct, 2024
-Cimini, D., R. Gandoin, S. Fiedler, C. Acquistapace, A. Balotti, S. Gentile, E. Geraldi, C. Knist, P. Martinet, S. T. Nilo, G. Pace, **B. Pospichal**, and F. Romano: Atmospheric stability from microwave radiometer observations for on/offshore wind energy applications. submitted to //Atmos. Meas. Tech.//, 12 Nov, 2024
+**Böck, T., M. Löffler, T. Marke, B. Pospichal,** C. Knist, and **U. Löhnert**: Instrument uncertainties of network-suitable ground-based microwave radiometers: overview, quantification, and mitigation strategies, submitted to //Atmos. Meas. Tech//, 10 Apr 2025
 **Toporov, M.**, and **U. Löhnert**: Monitoring regional atmospheric stability with hyperspectral satellite observations enhanced with a potential network of ground-based microwave radiometers, submitted to //J. Appl. Meteorol. Climatol.//, 30 Oct, 2024
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 ==== Accepted ====
+Burchart, Y., **B. Pospichal**, R. Neggers: Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions, submitted to //J. Adv. Model. Earth Syst.//, 28 Oct, 2024
 ==== 2025 ====
+Cimini, D., R. Gandoin, S. Fiedler, C. Acquistapace, A. Balotti, S. Gentile, E. Geraldi, C. Knist, P. Martinet, S. T. Nilo, G. Pace, **B. Pospichal**, and F. Romano: Atmospheric stability from microwave radiometer observations for on/offshore wind energy applications. //Atmos. Meas. Tech//, **18**, 2041–2067, 2025,[[https://doi.org/10.5194/amt-18-2041-2025]] \\
 Hu., G.  S. L. Dance, A. Fowler, D. Simonin, J. Waller, T. Auligne, S. Healy, D. Hotta, **U. Löhnert**, T. Miyoshi, N. C. Prive, O. Stiller, X. Wang, and M. Weissmann:  On methods for assessment of the value of observations in convection-permitting data assimilation and numerical weather forecasting, //Q. J. R. Meteorol. Soc.//, 1–36,2025, [[https://doi.org/10.1002/qj.4933]]