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Lisa Milani, Mark S. Kulie, Daniele Casella, Pierre E. Kirstetter, Giulia Panegrossi, Veljko Petkovic, Sarah E. Ringerud, Jean-François Rysman, Paolo Sanò, Nai-Yu Wang, Yalei You, and Gail Skofronick-Jackson

precipitation has been estimated from satellites for more than five decades with accuracy improving over time ( Tang et al. 2020 ). However, concerted efforts to estimate falling snow from spaceborne platforms have only been undertaken in the last 1–2 decades ( Casella et al. 2017 ; Kongoli et al. 2003 ; Kulie and Bennartz 2009 ; Meng et al. 2017 ; Rysman et al. 2019 ; Skofronick-Jackson et al. 2004 , 2019 ). Retrieving snowfall from space is necessary to globally quantify water resources transported

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Veljko Petković, Marko Orescanin, Pierre Kirstetter, Christian Kummerow, and Ralph Ferraro

supplement to PMW observations. It is therefore important to assess if convective/stratiform information can be inferred from the passive microwave information itself. Yet, despite sustained, decades-long effort to identify a robust link between PMW observations and convective fraction, only a few regression methods with modest skill are available. These methods largely utilize the spatial variability of the brightness temperature (Tb) of the high-frequency channels (e.g., 30 GHz and above). Thus, the

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