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Zachary S. Bruick, Kristen L. Rasmussen, and Daniel J. Cecil

cm) was found to cause 80% of the agricultural damages in the Mendoza region through only 2–3 events annually ( Pérez and Puliafito 2006 ). An in-depth study of hailpad observations was undertaken by Sánchez et al. (2009) , which compared the hailpad climatologies of Mendoza with those of regions in France and Spain. This study found that the network in Argentina has a greater frequency of large hailstones than those in Europe. Other recent hail research in South America includes the analyses of

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Sujan Pal, Francina Dominguez, María Eugenia Dillon, Javier Alvarez, Carlos Marcelo Garcia, Stephen W. Nesbitt, and David Gochis

model. The IMERG precipitation product was interpolated to WRF-Hydro grid (1 km × 1 km) and used for the simulations IMERG-E–WRFHydro, IMERG-L–WRFHydro, and IMERG-F–WRFHydro (see Table 1 ). Table 1. Experimental set up used in this study to evaluate the performance of different meteorological forcing data and models. 3) ERA5 reanalysis data and GFS data ERA5 is the recent (2016) reanalysis data produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) with a horizontal resolution

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Matthew R. Kumjian, Rachel Gutierrez, Joshua S. Soderholm, Stephen W. Nesbitt, Paula Maldonado, Lorena Medina Luna, James Marquis, Kevin A. Bowley, Milagros Alvarez Imaz, and Paola Salio

Grants AGS-1661679 and AGS-1855063, and an award from the Insurance Institute for Business and Home Safety (IBHS). We thank IBHS for lending us their 3D laser scanner, and particularly Ross Maiden for training the lead author on its use. ERA5 data are from the European Centre for Medium-Range Weather Forecasts (ECMWF), acquired through the Copernicus Climate Change Service Climate Data Store (CDS). RMA1 data were provided by Secretaría de Infraestructura y Política Hídrica, Ministerio del Interior

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Jake P. Mulholland, Stephen W. Nesbitt, Robert J. Trapp, Kristen L. Rasmussen, and Paola V. Salio

the RMA1 data. ERA-Interim is a global (atmospheric) reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). ERA-Interim includes 3-h surface data and 6-h upper-air data and utilizes four-dimensional variational data assimilation techniques. The horizontal grid spacing is 0.7° (approximately 80 km) with 37 vertical model levels ( P top = 1 hPa); pressure-level interpolated data were used for this analysis. Reanalysis data were used to construct composites of

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