2006; Donat et al. To learn more about cookies, click here. Short records of sub-daily rainfall are available from many countries, but longer records, particularly useful for the assessment of trends and variability, are much harder to access. Zhang et al. Multi-Source Weighted-Ensemble Precipitation (MSWEP; Beck et al. to the Statistical Commission, International One of the most important questions in climate change research is how the intensity, frequency, and duration of extreme rainfall will change with global warming. As in Fig. 2018). WMO defines climatological standard normals as "averages of climatological data computed for the following consecutive periods of 30 years: January 1, 1901 to December 31, 1930, January 1, 1931 to December 31, 1960, etc." 2011; Donat et al. It is possible that longer datasets exist but only as paper records. Average precipitation in depth (mm per year) from The World Bank: Data Learn how the World Bank Group is helping countries with COVID-19 (coronavirus). To this end, a global sub-daily rainfall dataset based on gauged observations has been collated. Africa has very low density of GloREDa stations (5% of the total). In the meantime, future work from the INTENSE project will produce indices of extreme sub-daily rainfall, similar to those already available at daily time scales, such as the Expert Team on Climate Change Detection and Indices (ETCCDI) Climate Change Indices (Zhang et al. In North America and the Caribbean, we collected erosivity values from 146 stations located in 6 countries (Unites States, Canada, Mexico, Cuba, Jamaica and Costa Rica). (2017) for a graphical summary]. 2) but some contain a large percentage of missing data at an hourly time step (see Table 2 and Fig. Short, incomplete records may still have value for some applications (e.g., to validate satellite or radar observations) and may be used for some types of analyses (e.g., to determine the diurnal cycle of rainfall) or may be pooled for temperature scaling and extreme value analysis. Sometimes all stations were included in one file or each station might be a separate file. Data collection is still ongoing, and we have identified additional sub-daily rainfall datasets for Spain, the Philippines, New Zealand, a few stations in Kenya, Tuvalu, the Caribbean, South Africa, Colombia, Fiji, Israel, India, Denmark, Slovenia, Iran, Bangladesh, Russia, Hungary, Czechia, China, Uruguay, Vanuatu, Hong Kong, Mexico, Poland, and Vietnam. Rainfall erosivity dataset (2017) is one of the input layers when calculating the Revised Universal Soil Loss Equation (RUSLE) model, which is the most frequently used model for soil erosion risk estimation; for the whole World; R-factor map at resolutions of 30 arc-sec ((~1 km at the Equator). More information about Global Rainfall erosivity in the corresponding section. School of Engineering, Newcastle University, Newcastle, United Kingdom.