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publications:reviewed_a [2024/03/27 19:41] – [submitted] ischirmapublications:reviewed_a [2024/03/27 19:52] – [submitted] ischirma
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 **Chatterjee, D.**, **S. Schnitt**,** P. Bigalke**, **C. Acquistapace**, and  **S. Crewell**, (2024). Capturing the Diversity of Mesoscale Trade Wind Cumuli Using Complementary Approaches from Self-Supervised Deep Learning. Geophysical Research Letters, https://doi.org/10.22541/essoar.170000384.49382400/v2 **Chatterjee, D.**, **S. Schnitt**,** P. Bigalke**, **C. Acquistapace**, and  **S. Crewell**, (2024). Capturing the Diversity of Mesoscale Trade Wind Cumuli Using Complementary Approaches from Self-Supervised Deep Learning. Geophysical Research Letters, https://doi.org/10.22541/essoar.170000384.49382400/v2
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 +Benjamin Kirbus, **Imke Schirmacher**, Marcus Klingebiel, Michael Schäfer, André Ehrlich, Nils Slättberg, Johannes Lucke, Manuel Moser, Hanno Müller, and Manfred Wendisch, 2023: Thermodynamic and cloud evolution in a cold-air outbreak during HALO-(AC)3: quasi-Lagrangian observations compared to the ERA5 and CARRA reanalyses. //Atmos. Chem. Phys.//,https://doi.org/10.5194/egusphere-2023-2989.
  
 **Risse, N.**, **M. Mech**, C. Prigent, G. Spreen, and **S. Crewell**: Assessing the sea ice microwave emissivity up to submillimeter waves from airborne and satellite observations, //The Cryosphere//, submitted on 19 Jan 2024 **Risse, N.**, **M. Mech**, C. Prigent, G. Spreen, and **S. Crewell**: Assessing the sea ice microwave emissivity up to submillimeter waves from airborne and satellite observations, //The Cryosphere//, submitted on 19 Jan 2024
publications/reviewed_a.txt · Last modified: 2024/05/07 16:28 by mech