Martin A, Weissmann M, Reitebuch O, Rennie M, Geiss A, Cress A. Validation of Aeolus winds using radiosonde observations and NWP model equivalents. Atmospheric Measurement Techniques Discussions. 2020 Okt 12. doi.org/10.5194/amt-2020-404

Schröttle J, Weissmann M, Scheck L, Hutt A. Assimilating visible and infrared radiances in idealized simulations of deep convection. Monthly Weather Review. 2020 Jul 14;148(11):4357-4375. doi.org/10.1175/MWR-D-20-0002.1

Scheck L, Weissmann M, Bach L. Assimilating visible satellite images for convective‐scale numerical weather prediction: A case‐study. Quarterly Journal of the Royal Meteorological Society. 2020 Jun 7;Volume 146(Issue 732):3165-3186. doi.org/10.1002/qj.3840

Hutt A, Schraff C, Anlauf H, Bach L, Baldauf M, Bauernschubert E et al. Assimilation of SEVIRI water vapour channels with an ensemble Kalman filter on the convective scale. Frontiers in Earth Science. 2020 Mär 12. doi.org/10.3389/feart.2020.00070

Necker T, Weissmann M, Ruckstuhl Y, Anderson J, Miyoshi T. Sampling Error Correction Evaluated Using a Convective-Scale 1000-Member Ensemble. Monthly Weather Review. 2020 Mär;148(3):1229–1249. doi.org/10.1175/MWR-D-19-0154.1

Schindler M, Weissmann M, Schäfler A, Radnoti G. The Impact of Dropsonde and Extra Radiosonde Observations during NAWDEX in Autumn 2016. Monthly Weather Review. 2020 Feb;148(2):809-824. doi.org/10.1175/MWR-D-19-0126.1

Necker T, Geiss S, Weissmann M, Ruiz J, Miyoshi T, Lien GY. A convective‐scale 1,000‐member ensemble simulation and potential applications. Quarterly Journal of the Royal Meteorological Society. 2020 Jan 10;146(728):1423-1442. doi.org/10.1002/qj.3744

Bachmann K, Weissmann M, Keil C, Craig GC, Welzbacher CA. Predictability of Deep Convection in Idealized and Operational Forecasts: Effects of Radar Data Assimilation, Orography, and Synoptic Weather Regime. Monthly Weather Review. 2020 Jan;148(1):63-81. doi.org/10.1175/MWR-D-19-0045.1