Other quasi-global data products exist that are not based on gauged observations, including daily satellite datasets like Tropical Rainfall Measuring Mission (TRMM)/TRMM Multisatellite Precipitation Analysis (TMPA; Huffman et al. INTENSE will endeavor to provide as much support with this as possible and are taking steps to find a suitable organization to continue the work of this project. Gaussian Process Regression(GPR) model was used to interpolate the rainfall erosivity values of single stations and to generate the R-factor map.Spatial coverage: WorldPixel size: 30 arc-seconds (~1 km at the Equator).Measurement Unit: MJ mm ha-1 h-1 yr-1Projection: ETRS89 Lambert Azimuthal Equal AreaTemporal coverage: 30-40 years - Predominant in the last decade: 2000 - 2010. The data are the result of JRC research activities and are primarily made available for further research. HJF is also funded by the Wolfson Foundation and the Royal Society as a Royal Society Wolfson Research Merit Award (WM140025) holder. First, data were obtained at different time steps: typically 1 h but also 1 min, 5 min, 10 min, 15 min, 30 min, 3 h, and 6 h. Almost all data were provided at 1-h or finer resolution and so only these data are presented here, although 6-h data were also collected for Bermuda (1 station), Brazil (297 stations), and Canada (72 stations). Real record length [record length × (1 − fraction of missing data)] of stations for Australia. Contribution of large-scale midlatitude disturbances to hourly precipitation extremes in the United States, MSWEP: 3-hourly 0.25 global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data, Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling, Quality-control of an hourly rainfall dataset and climatology of extremes for the UK, The INTENSE project: Using observations and models to understand the past, present and future of sub-daily rainfall extremes, Downturn in scaling of UK extreme rainfall with temperature for future hottest days, Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset, Global land-based datasets for monitoring climatic extremes, Temperature dependency of hourly precipitation intensities—Surface versus cloud layer temperature, Observed coherent changes in climatic extremes during the second half of the twentieth century, On the design of national, real-time warning systems with capability for site-specific, flash-flood forecasts, Trends in intense precipitation in the climate record, Changes in intense precipitation over the central United States, Detection of continental-scale intensification of hourly rainfall extremes, Observed relationships between extreme sub-daily precipitation, surface temperature, and relative humidity, Supplement to “State of the Climate in 2017.”, The Global Precipitation Measurement Mission, Precipitation estimation from remotely sensed information using artificial neural networks, The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution, Heavier summer downpours with climate change revealed by weather forecast resolution model. These longer records are suitable for looking at changes in rainfall over time, such as trend analysis and the influence of natural variability. 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). We used the Global Rainfall Erosivity Database (GloREDa) which contains 3,625 precipitation stations from 63 countires in the Globe  with temporal resolutions of 1 to 60 minutes. 2017), Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN; Hsu et al. (2017) to harmonize surface meteorological holdings across essential climate variables and time scales, and in time be open and free from usage restrictions. (2013) showed that close to two-thirds of stations across the world displayed increasing trends in annual maximum rainfall while Groisman et al. to the Statistical Commission, International This paper outlines the gauge data we have collected so far for the GSDR, providing details of spatial coverage, record duration, and completeness in an ongoing process to form the first comprehensive global sub-daily rainfall dataset. The Global erosivity map (GeoTIFF format) at 30 arc-seconds (~1 km) resolution is available for free download in the European Soil Data Centre (ESDAC). During 2018, 11 of 12 monthly global land and ocean temperature departures from average ranked among the five warmest for their respective months, giving way to the fourth warmest year in NOAA's 139-year record. 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. of Economic and Social Affairs, Economic Lewis, E., and Coauthors, 2019: GSDR: A Global Sub-Daily Rainfall Dataset. The calculated erosivity values per station in GloREDa will become available in the future pending on the agreed copyright issues with data providers. Finally, Asia and the Middle East were well represented in GloREDa, with 1,220 stations (34% of the total) distributed in 10 countries including the Siberian part of the Russian Federation, China, India, Japan. (2017) call for a comprehensive global set of data holdings that integrate across essential climate variables and time scales and outline the steps that need to be taken to make this happen. Climate Data Online (CDO) provides free access to NCDC's archive of global historical weather and climate data in addition to station history information.

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