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Dalia B. Kirschbaum, George J. Huffman, Robert F. Adler, Scott Braun, Kevin Garrett, Erin Jones, Amy McNally, Gail Skofronick-Jackson, Erich Stocker, Huan Wu, and Benjamin F. Zaitchik

assimilation systems become more effective at assimilating radiometric observations affected by clouds and precipitation. Global flood monitoring. Access to near-real-time precipitation estimates on a global scale is valuable for regional assessments of current or potential flood events. The TMPA precipitation estimates are input to a Global Flood Monitoring System (GFMS; http://flood.umd.edu/ ) with the goal of providing near-real-time flood estimates and forecasts between 50°N and 50°S ( Wu et al. 2014

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Hooman Ayat, Jason P. Evans, Steven Sherwood, and Ali Behrangi

sufficient to monitor highly dynamic spatial and temporal processes. Therefore, ground-based radar data plays an important part in the assessment of satellite estimates using coincident samples ( Porcú et al. 1999 ). A number of studies have compared satellite precipitation estimates to ground radar products. For instance, Gaona et al. (2016) evaluated the 30-min gridded Integrated Multisatellite Retrievals for GPM (IMERG) Final Run (V03D) based on gauge-adjusted radar rainfall over the Netherlands at

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Daniel Watters, Alessandro Battaglia, Kamil Mroz, and Frédéric Tridon

precipitation products, can currently be used for a wide variety of applications, such as disaster response, agricultural modeling, and monitoring of disease risks ( Kirschbaum et al. 2017 ). The GPM CO includes the Dual-Frequency Precipitation Radar (DPR) and a conically scanning multifrequency passive microwave radiometer [GPM Microwave Imager (GMI)] ( Skofronick-Jackson et al. 2017 ). The DPR measures the three-dimensional structure of precipitation systems at Ka-band (35.5 GHz) and Ku-band (13.6 GHz

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