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Diurnal cycle of the three most extreme categories (top 0.1%; Figs. 2 and 3) for each parameter separated by land and ocean PFs. There are not enough extreme events over oceans to use only the top two categories. 

Diurnal cycle of the three most extreme categories (top 0.1%; Figs. 2 and 3) for each parameter separated by land and ocean PFs. There are not enough extreme events over oceans to use only the top two categories. 

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... The exact reflectivity value adopted for the echo-top calculation varies because of the different saturation values for each wavelength and the radars' minimum sensitivity thus offering different insights about the lofting of hydrometeors on convection. Reflectivity values for convective proxies range from 0 and 10 dBZ for CPR (e.g., Stephens and Wood 2007;Luo et al. 2008;Takahashi and Luo 2014) and 30 to 40 dBZ for TRMM (e.g., Zipser et al. 2006;Houze Jr. et al. 2015) and GPM's KuPR (e.g., Skofronick-Jackson et al. 2018). The broad result of the echo-top convective proxies between missions paints a consistent picture of stronger convection being generally located over land, with more frequent locations of intense convection over hotspots like Central Africa, North-Central Argentina and the central United States (Zipser et al. 2006;Houze Jr. et al. 2015;Takahashi and Luo 2014). ...
... Reflectivity values for convective proxies range from 0 and 10 dBZ for CPR (e.g., Stephens and Wood 2007;Luo et al. 2008;Takahashi and Luo 2014) and 30 to 40 dBZ for TRMM (e.g., Zipser et al. 2006;Houze Jr. et al. 2015) and GPM's KuPR (e.g., Skofronick-Jackson et al. 2018). The broad result of the echo-top convective proxies between missions paints a consistent picture of stronger convection being generally located over land, with more frequent locations of intense convection over hotspots like Central Africa, North-Central Argentina and the central United States (Zipser et al. 2006;Houze Jr. et al. 2015;Takahashi and Luo 2014). The differences in echo-top heights of the different radar systems, not yet researched in detail, also offers potential insights into processes associated with detraining ice in upper levels of storms. ...
... The differences arise from the echo-top height locations, the anvil characteristics and the depth at which the shorter wavelengths become affected by attenuation and multiple scattering. Contextualizing these two cases of very strong convection in the broader convective proxy literature, both cases would be used in CPR studies of deep convective clouds with 10 dBZ echo-tops exceeding 10 km (e.g., Takahashi et al. 2023).Meanwhile from the KuPR perspective, the MCS on 12 Jun 2018 would be within the top 0.33% of storms and the more isolated storm from 08 May 2019 would be within the top 0.03% within the Zipser et al. (2006) framework (see Fig. 6 in Skofronick-Jackson et al. 2018). In the University of Washington classifications both storms are considered the Deep and Wide classification (Houze Jr. et al. 2007), but note the part sampled by the three radars for the MCS case was likely not the most intense part of the storm (stronger GMI brightness temperature deficits were found outside the DPR swath; not shown). ...
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... The prevailing monsoonal flows transport abundant moisture to the BoB, creating an environment conducive to the initiation and organization of deep convection (e.g., Romatschke & Houze, 2011;Shige et al., 2017;Xie et al., 2006). Zipser et al. (2006) and Romatschke et al. (2010) used the precipitation radar onboard the Tropical Rainfall Measuring Mission (TRMM) satellite to study the monsoonal convective systems over the BoB. They found that the majority of warmseason precipitation over the BoB is contributed by wide cloud features with broad stratiform areas (>50,000 km 2 ) embedded by several deep convective cores. ...
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... For analysis of convective intensity, defined in this paper as radar reflectivity intensity related to hydrometeors as a proxy for convective updraft intensity (e.g., Heymsfield et al., 2010;Ni et al., 2019;Zipser et al., 2006;Zipser & Lutz, 1994), all APR-3 Ku-band reflectivity profiles for an individual case were binned into two-dimensional (2-D) histograms with 5-dBZ and 0.5-km intervals. Reflectivity was binned from 10 dBZ to 60 dBZ, and height bins extend from 1.5 to 8 km, so as to omit potentially spurious near-surface data Sadowy et al., 2003) and provide a uniform upper layer altitude cap to allow for case intercomparison. ...
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... The maximum height of 40 dBZ echo-top (maxHt_40dBZ) is used to characterize convective intensity of the individual CCs, following previous studies (i.e., Hamada et al., 2014Hamada et al., , 2015Zipser et al., 2006). Convective intensity of a CC with maxHt_40dBZ above 9 km is considered as "intense convection" , as such maxHt_40dBZ values indicate presence of strong updrafts in the convective system to lift large precipitation particles (graupel or hail) up to above the 22°C level (Yu22). ...
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... Ku-band detections derived separately (Kubota et al. 2014 Jiang et al. 2013) and other precipitation systems (e.g., thunderstorms) (Zipser et al. 2006). The ocean surface has low emissivity, which interferes with the identification of convection. ...
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... OTs were analyzed over southeastern South America (SESA), which is known to have some of the deepest convective storms on Earth (Liu et al., 2020;Zipser et al., 2006). The Remote Sensing of Electrification, Lightning, and Mesoscale/Microscale Processes with Adaptive Ground Observations-Clouds, Aerosol, and Complex Terrain Interactions (RELAMPAGO-CACTI) field campaign took place in SESA, with most observations taken from 1 November 2018-31 January 2019 Varble et al., 2021). ...
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... Particularly concerning the regions of interest, the Southern region ( Figure 6 e) exhibits notable disparities in ice content compared to other regions. Several studies consider the subtropical region of the South Atlantic (which includes the South brazilian region) as one of the areas on the planet most affected by severe convective events [33][34][35][36][37]. Such events involve clouds with deep vertical development, reaching very low temperatures, and consequently, they form a substantial amount of ice. ...
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Intense rainfall events frequently occur in Brazil, often leading to rapid flooding. Despite their recurrence, there is a notable lack of sub-daily studies in the country. This research aims to assess patterns related to the structure and microphysics of clouds driving intense rainfall in Brazil, resulting in high accumulations within 1 hour. Employing a 40 mm/h threshold and validation criteria, 83 events were selected for study, observed by both single and dual-polarization radars. Contoured Frequency by Altitude Diagrams (CFADs) of reflectivity, Vertical Integrated Liquid (VIL), and Vertical Integrated Ice (VII) are employed to scrutinize the vertical cloud characteristics in each region. To address limitations arising from the absence of polarimetric coverage in some events, three case studies focusing on polarimetric variables are included. A fourth case study enhances the overall understanding of these events, emphasizing the underexplored nature of short-term intense rainfall studies in Brazil. Results reveal that the generating system significantly influences the rainfall pattern, especially in the Southern, Southeastern, and Central-Western regions. Regional CFADs unveil primary convective columns with 40-50 dBZ reflectivity, extending to approximately 6 km. The microphysical analysis highlights the rapid structural intensification, challenging the event predictability and the issuance of timely specific warnings.
... The pattern of monthly rainfall erosivity (Fig. 2) followed the typical seasonality of rainfall 38,39 : high monthly mean daily rainfall values were observed in July and August globally and in the Northern Hemisphere and in January and February in the Southern Hemisphere. Zipser et al. 40 also reported high-intensity storms, notably in June-August (Northern Hemisphere) and December-February and March-May (Southern Hemisphere). The latitudinal profile of a zonally averaged monthly rainfall erosivity (Fig. 3a) provides a near-global view of the intra-annual variability. ...
... Table S2). The seasonal EDs suggest that intense rainstorms dominantly occurred during June-August in the Northern Hemisphere, but were bimodally distributed between December-February and March-May in the Southern Hemisphere, in good agreement with the results of Zipser et al. 40 . ...
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Modeling monthly rainfall erosivity is vital to the optimization of measures to control soil erosion. Rain gauge data combined with satellite observations can aid in enhancing rainfall erosivity estimations. Here, we presented a framework which utilized Geographically Weighted Regression approach to model global monthly rainfall erosivity. The framework integrates long-term (2001–2020) mean annual rainfall erosivity estimates from IMERG (Global Precipitation Measurement (GPM) mission’s Integrated Multi-satellitE Retrievals for GPM) with station data from GloREDa (Global Rainfall Erosivity Database, n = 3,286 stations). The merged mean annual rainfall erosivity was disaggregated into mean monthly values based on monthly rainfall erosivity fractions derived from the original IMERG data. Global mean monthly rainfall erosivity was distinctly seasonal; erosivity peaked at ~ 200 MJ mm ha−1 h−1 month−1 in June–August over the Northern Hemisphere and ~ 700 MJ mm ha−1 h−1 month−1 in December–February over the Southern Hemisphere, contributing to over 60% of the annual rainfall erosivity over large areas in each hemisphere. Rainfall erosivity was ~ 4 times higher during the most erosive months than the least erosive months (December–February and June–August in the Northern and Southern Hemisphere, respectively). The latitudinal distributions of monthly and seasonal rainfall erosivity were highly heterogeneous, with the tropics showing the greatest erosivity. The intra-annual variability of monthly rainfall erosivity was particularly high within 10–30° latitude in both hemispheres. The monthly rainfall erosivity maps can be used for improving spatiotemporal modeling of soil erosion and planning of soil conservation measures.
... Many studies have recognized Southern South America (south of 15°S; Fig. 1) as a worldwide hot spot for strong deep moist convection (e.g.: Zipser et al. 2006;Romatschke and Houze 2010;Rasmussen and Houze 2011;Rasmussen et al. 2014;Prein and Holland 2018;Ribeiro and Bosart 2018;Bruick et al. 2019;Zhou et al. 2021). Environmental conditions here often favor the development of organized storms capable of producing severe weather hazards (i.e., hail, strong wind gusts, tornadoes). ...
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Despite Southern South America being recognized as a hotspot for deep convective storms, little is known about the socio-environmental impacts of high impact weather (HIW) events. Although there have been past efforts to collect severe weather reports in the region, they have been highly fragmented among and within countries, sharing no common protocol, and limited to a particular phenomenon, a very specific region or a short period of time. There is a pressing need for a more comprehensive understanding of the present risks linked to HIW events, specifically deep convective storms, on a global scale as well as their variability and potential future evolution in the context of climate change. A database of high-quality and systematic HIW reports and associated socio-environmental impacts is essential to understand the regional atmospheric conditions leading to hazardous weather, to quantify its predictability and to build robust early warning systems. To tackle this problem and following successful initiatives in other regions of the world, researchers, national weather service members, and weather enthusiasts from Argentina, Brazil, Chile, Paraguay and Uruguay have embarked on a multi-national collaboration to generate a standardized database of reports of HIW events principally associated with convective storms and their socio-environmental impacts in South America. The goal of this paper is to describe this unprecedented initiative over the region, to summarize first results and to discuss the potential applications of this collaboration.