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Ibrahim Demir, Helen Conover, Witold F. Krajewski, Bong-Chul Seo, Radosław Goska, Yubin He, Michael F. McEniry, Sara J. Graves, and Walter Petersen

of the day, weather forecasts, current instrument status, and quick-look imagery. Daily mission science reports presented an overview of goals and accomplishments. The portal was designed as an internal communication tool to enable collaboration among the participating scientists, and as such, access was restricted to team members. General project information was made available through public-facing websites. Fig . 1. IFloodS collaboration portal dashboard including daily schedule and plan of the

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Di Wu, Christa Peters-Lidard, Wei-Kuo Tao, and Walter Petersen

. 2008 ; Seity et al. 2011 ; Baldauf et al. 2011 ). The positive feedback between soil moisture and precipitation is also well known. The wet soil surface facilitates heat and moisture transport into the planetary boundary layer (PBL), so the moistening of lower PBL is likely to produce localized convective precipitation. Gallus and Segal (2000) found that precipitation amounts respond to the change of soil moisture differently among runs with different convective parameterizations. Case et al

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Luciana K. Cunha, James A. Smith, Witold F. Krajewski, Mary Lynn Baeck, and Bong-Chul Seo

hydrometeor sampled by the radar ( Ryzhkov et al. 2005a ; Park et al. 2009 ) using fuzzy logic, and the top and bottom melting-layer boundaries ( Giangrande et al. 2008 ). The boundaries of the melting layer are defined based on lower- and upper-limit thresholds for reflectivity and correlation coefficient typically found in a melting layer. In the current system the following classes are defined: 1) biological, 2) ground clutter and anomalous propagation, 3) ice crystal, 4) dry snow, 5) wet snow, 6

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Felipe Quintero, Witold F. Krajewski, Ricardo Mantilla, Scott Small, and Bong-Chul Seo

Anagnostou 2012 ). The hydrological models that partition rainfall into runoff components and route runoff to predict streamflow fluctuations represent the second key component of global flood forecasting systems. These models are constructed to obey basin boundaries, which are defined by the selection of points of interest (e.g., major cities) along the river network. In a global system, all of the millions of possible basins should be represented, which poses a computational challenge. Current global

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Bong-Chul Seo, Brenda Dolan, Witold F. Krajewski, Steven A. Rutledge, and Walter Petersen

, testing of DP algorithms has been generally limited to research-quality radars. The spatial-resolution difference between current operational (0.5° × 250 m) and earlier polarimetric prototype of Weather Surveillance Radar-1988 Doppler (WSR-88D) known as the KOUN (1° × 250–267 m) radar in Oklahoma (see, e.g., Giangrande and Ryzhkov 2008 ) is another aspect of this study because it might lead to considerable dissimilarity in the outcome of pixel-based rainfall estimation algorithms. In this study, we

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Huan Wu, Robert F. Adler, Yudong Tian, Guojun Gu, and George J. Huffman

precipitation errors on the hydrological errors at different space and time scales, at least in one location. The results can lead to a better use of current precipitation information and provide directions for QPE improvement and possibly even for further hydrological model improvement and application, including how to use improved real-time satellite precipitation retrievals in the GFMS. In the rest of this paper, section 2 describes the study domain; section 3 describes methodology, that is, the

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Merhala Thurai, Kumar Vijay Mishra, V. N. Bringi, and Witold F. Krajewski

et al. 2001 ). Because a composite method introduces discontinuities at threshold values, applying a weighted linear combination of multiple estimators to all precipitation regions might be helpful. The weights in such a combination account for the error characteristic of the estimator at different rainfall rates. Such weighted estimators are currently being tested for S-band radars ( Pepler et al. 2011 ; Pepler and May 2012 ; Wen et al. 2015 ). The plethora of rain-rate estimators, their

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