Short-duration rainfall intensity-duration-frequency IDF statistics in the form of tables and graphs with accompanying documentation for 549 locations across Canada. These files can be downloaded for each province territory or for all of Canada.

These GIS grids were produced from NOAA and NRCC precipitation frequency estimates for North America based on precipitation data collected from 1816 to 2014. The grids provide information for durations from 24-hour and for recurrence periods of 2 year through 500 years. Grid value units are inches * 1000.

RIST (Rainfall Intensity Summarization Tool) is a Windows-based program designed to facilitate analysis of precipitation records. RIST has improved efficiency and output files suitable for input to runoff, erosion, and water quality models including RUSLE, WEPP, SWAT, and AnnAGNPS. RIST inputs text files in user-specified fixed-width or comma-delimited formats. Rainfall records may be time-and-date stamp, fixed interval, or variable interval (breakpoint) data. Standard outputs include: Standard RUSLE outputs include a storm-by-storm summary of total precipitation, duration, intensity, kinetic energy, and EI30; and bi-weekly and monthly rainfall summaries of rainfall, energy, EI30 and erosivity density. Optionally, storms with less than 0.5 in. (12.7mm) of precipitation may be excluded from the energy and intensity calculations. Standard WEPP outputs include daily rainfall, storm duration (reduced by excluding periods greater than 30 minutes without rain), ip, and tp. Output for SWAT and AnnAGNPS include daily precipitation and, optionally, sub-daily precipitation totals. RIST also includes the capability to generate (1) precipitation totals at any user-specified fixed time interval or (2) a storm-by-storm analysis including maximum intensities observed during 5, 10, 15, 20, 30, and 60 minute within-in storm periods. Resources in this dataset:Resource Title: RIST - Rainfall Intensity Summarization Tool. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=WPP-01&modecode=60-60-05-05 download page

Compilation of rainfall IDF curves for 6,550 rainfall gauges in Brazil. Includes curves established using: a) sub-daily rainfall data (Standard), and, b) daily rainfall maximum depth (Disaggregation).

Contents of each folder: 1. XLSX file - datasheet containing curves from Standard method, Disaggregation method, and a Reference list. 2. One GIS vector file in geopackage format: includes two vector files (Standard and Disaggregation) and a Reference list 3. Two GIS vector files in shapefile format: two separated shapefiles compacted as RAR files - Standard (4a) and Disaggregation (4b). 4. Two GIS vector files in geojson format: two separated files - Standard (4a) and Disaggregation (4b).

Technical Description: Geographic Coordinate System: WGS_1984 Datum: WGS_1984 Unit: Degree

Precipitation, volumetric soil-water content, videos, and geophone data characterizing postfire debris flows were collected at the 2022 Hermit’s Peak Calf-Canyon Fire in New Mexico. This dataset contains data from June 22, 2022, to June 26, 2024. The data were obtained from a station located at 35° 42’ 28.86” N, 105° 27’ 18.03” W (geographic coordinate system). Each data type is described below. Raw Rainfall Data: Rainfall data, Rainfall.csv, are contained in a comma separated value (.csv) file. The data are continuous and sampled at 1-minute intervals. The columns in the csv file are TIMESTAMP(UTC), RainSlowInt (the depth of rain in each minute [mm]), CumRain (cumulative rainfall since the beginning of the record [mm]), and VWC# (volumetric water content [V/V]) at three depths (1 = 10 cm, 2=30 cm, and 3=50 cm). VWC values outside of the range of 0 to 0.5 represent sensor malfunctions and were replaced with -99999 . Storm Record: We summarized the rainfall, volumetric soil-water content, and geophone data based on rainstorms. We defined a storm as rain for a duration >= 5 minutes or with an accumulation > 2.54 mm. Each storm was then assigned a storm ID starting at 0. The storm record data, StormRecord.csv, provides peak rainfall intensities and times and volumetric soil-water content information for each storm. The columns from left to right provide the information as follows: ID, StormStart yyyy-mm-dd hh:mm:ss-tz, StormStop yyyy-mm-dd hh:mm:ss-tz, StormDepth mm, StormDuration h, I-5 mm h-1, I-10 mm h-1, I-15 mm h-1, I-30 mm h-1, I-60 mm h-1, I-5 time yyyy-mm-dd hh:mm:ss-tz, I-10 time yyyy-mm-dd hh:mm:ss-tz, I-15 time yyyy-mm-dd hh:mm:ss-tz] ([UTC], the time of the peak 15-minute rainfall intensity), I-30 time yyyy-mm-dd hh:mm:ss-tz] ] ([UTC], the time of the peak 30-minute rainfall intensity), I-60 time [yyyy-mm-dd hh:mm:ss-tz] [UTC], (the time of the peak 60-minute rainfall intensity), VWC (volumetric water content [V/V] at three depths (1 = 10 cm, 2 = 30 cm, 3 = 50 cm) at the start of the storm, the time of the peak 15-minute rainfall intensity, and the end of the storm), Velocity [m s-1] of the flow, and Event (qualitative observation of type of flow from video footage). VWC values outside of the range of 0 to 0.5 represent sensor malfunctions and were replaced with -99999. Velocity was only calculated for flows with a noticeable surge as the rest of the signal is not sufficient for a cross-correlation, and Event was only filled for storms with quality video data. Values of -99999 were assigned for these columns for all other storms. Geophone Data: Geophone data, GeophoneData.zip, are contained in comma separated value (.csv) files labeled by ‘storm’ and the corresponding storm ID in the storm record and labeled IDa and IDb if the geophone stopped recording for more than an hour during the storm. The data was recorded at two geophones sampled at 50 Hz, one 11.5 m upstream from the station and one 9.75 m downstream from the station. Geophones were triggered to record when 1.6 mm of rain was detected during a period of 10 minutes, and they continued to record for 30 minutes past the last timestamp when this criteria was met. The columns in each csv file are TIMESTAMP [UTC], GeophoneUp_mV (the upstream geophone [mV]), GeophoneDn_mV (the downstream geophone [mV]). Note that there are occasional missed samples when the data logger did not record due to geophone malfunction when data points are 0.04 s or more apart. Videos: The videos stormID_mmdd.mp4 (or .mov) are organized by storm ID where one folder contains data for one storm. Within folders for each storm, videos are labeled by the timestamp in UTC of the end of the video as IMGPhhmm. Some videos in the early mornings or late evenings, or in very intense rainfall, have had brightness and contrast adjustments in Adobe Premiere Pro for better video quality and are in MP4 format. All raw videos are in MOV format. The camera triggered when a minimum of 1.6 mm of rain fell in a 10-minute interval and it recorded in 16-minute video clips until it was 30 minutes since the last trigger. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Two measures of rainfall intensity - percent of annual precipitation in the 95th percentile (r95ptot) and annual maximum one-day rainfall (rx1day). Intense rainfall can result in flash floods or land slips that damage homes and property, disrupt transportation, and endanger lives. It can also interfere with recreation and increase erosion. Changes to the frequency of intense rainfall events can alter biodiversity. More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

The plate contains four maps of 24 hour rainfalls (in millimetres) for a 2 year return period, a 5 year return period, a 10 year return period and a 25 year return period. Each map has a detailed inset of the Vancouver area. These four maps were not analyzed for the mountainous parts of Canada in British Columbia and the Yukon because of the limited number of stations, the non-representative nature of the valley stations and the variability of precipitation owing to the orographic effects. From the incomplete data, it is impossible to draw accurate isolines of short duration rainfall amounts on maps of national scale. Point values for all stations west of the Rocky Mountain range and in the Yukon have been plotted for durations of less than 24 hours. For the Vancouver metropolitan area, recording rain gauges have been in operation for several years. For some of these stations point rainfall data have been plotted on inset maps. The density of climatological stations varies widely as does population density. In general, the accuracy of the analysis increases with station density. North of latitude 55 degrees North, there are only five stations. Therefore, the isoline analyses represent extrapolations beyond the station values. Whenever sufficient data were available for interpretation, isolines were drawn as solid lines. The scale of the map used for Canada dictates the use of an isoline interval of 12 millimetres.

UKCP09: 5 km gridded data - Annual averages of the rainfall intensity on days of rain ≥1 mm (mm/day). The data set contains 12 files (one for each month for the 1961-1990 average period). The individual grids are named according to the following convention: variablename_mmm_Average_Actual.txt where mmm is the month name (e.g. Jan).

The datasets have been created with financial support from the Department for Environment, Food and Rural Affairs (Defra) and they are being promoted by the UK Climate Impacts Programme (UKCIP) as part of the UK Climate Projections (UKCP09). http://ukclimateprojections.defra.gov.uk/content/view/12/689/.

To view this data you will have to register on the Met Office website, here: http://www.metoffice.gov.uk/research/climate/climate-monitoring/UKCP09/register

Geospatial data about Data quality info for rainfall intensity. Export to CAD, GIS, PDF, CSV and access via API.

The "Jornada Experimental Range Rainfall Intensity" data set contains information on the intensity and duration of individual rainfall events at the Jornada Experimental Range near Las Cruces, New Mexico. During summer months, gears were changed in weighing rain gauges so that 24-hour charts could be used. Water was maintained in catch buckets so that evaporation would separate daily inked lines.

Collection Organization: Jornada Experimental Range

Collection Methodology: During summer months gears were changed in weighing rain gauges so that 24 hour charts could be used. Water was maintained in catch bucket so evaporation would separate daily inked lines.

Collection Frequency: Weekly.

Update Characteristics: Not updated in its entirety.

LANGUAGE: English

ACCESS/AVAILABILITY: Data Center: Jornada Experimntal Range Dissemination Media: Hard copy File Format: Paper rain guage charts Access Instructions: Dataset transferred to the ARS Southwest Watershed Researxh Laboratory for rescue processes. Contact the data center for further questions. Availability Status: On Rquest

Rainfall videos and the rainfall data measured by a rain gauge.

The NOAA Cooperative Observer Program (COOP) 15-Minute Precipitation Data consists of quality controlled precipitation amounts, which are measurements of 15 minute accumulation of precipitation, including rain and snow for approximately 2,000 observing stations around the country, and several U.S. territories in the Caribbean and Pacific operated or managed by the NOAA National Weather Service (NWS). Stations are primary, secondary, or cooperative observer sites that have the capability to measure precipitation at 15 minute intervals. This dataset contains 15-minute precipitation data (reported 4 times per hour, if precipitation occurred) for U.S. stations along with selected non-U.S. stations in U.S. territories and associated nations. It includes major city locations and many small town locations. Daily total precipitation is also included as part of the data record. The dataset period of record is from May 1970 to December 2013. The dataset is archived by the NOAA National Centers for Environmental Information (NCEI).

These GIS grids were produced from NOAA precipitation frequency estimates for North America based on precipitation data collected from 1816 to 2014. The grids provide data for the 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence intervals for a 24-hour duration. Grid values are in inches.

This dataset is constructed using measurements of electronical raingauges and Present Weather Sensors. The dataset is neither validated nor are missing values completed.

NOAA provided Atlas 14, Volume 11 rainfall data in a GIS compatible ASCii format. The resulting processed rainfall isopluvials align in a general east-west direction. Using the east-west isopluvial orientation as a general guide, the datasets listed below were used to inform and refine the delineation of the Precipitation Area boundaries. The five (5) Precipitation Areas are generally orientated lengthwise in an east-west direction to follow the isopluvial orientation. Precipitation Area numbering followed a north-south direction, with PA-1 being the most northerly area and PA-5 being the most southerly area.Datasets used to inform the PA boundary delineations and source (acquired in 2018):• San Antonio River watershed subbasins - San Antonio River Authority• HUC 12 layers – Texas Natural Resources Information System• Rivers & Creeks – United States Geological Survey• Bexar County boundary – City of San Antonio• Cibolo Creek subbasins – San Antonio River AuthorityThis dataset will be evaluated for general accuracy on an annual basis, or more frequently as necessary.

Six rainfall videos and the rainfall data measured by a rain gauge

Experiments evaluating the uniformity and intensity of rainfall produced by the NGEE Arctic Rainfall Simulator (NARS) were conducted at Los Alamos National Laboratory, New Mexico, over summer 2022. Petri dishes were placed in a grid within the NARS plot. Simulated rainfall was collected in each petri dish and the intensity and uniformity of the simulator was subsequently calculated. This data package contains two .csv files, one that summarizes the rainfall intensity and uniformity for each experiment, the other that contains individual petri dish water volume and intensity for each plot location and experiment. The Python scripts to control NARS are also included. The NGEE Arctic Rainfall Simulator (NARS) is a variable intensity rainfall simulator (RFS) with a frame design based on the Humphry et al. (2002) RFS and a water delivery system based on the Walnut Gulch (Paige et al., 2004) RFS. The NARS uses an aluminum frame that is fully deconstructable for transportation to field locations and a water system that enables variable rain intensity. Rain intensity control and data collection are automated using a Raspberry Pi microcomputer. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 15-year research effort (2012-2027) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).

RIST has improved efficiency and output files suitable for input to runoff, erosion, and water quality models including RUSLE, WEPP, SWAT, and AnnAGNPS. RIST inputs text files in user-specified fixed-width or comma-delimited formats. Rainfall records may be time-and-date stamp, fixed interval, or variable interval (breakpoint) data. Standard outputs include: Standard RUSLE outputs include a storm-by-storm summary of total precipitation, duration, intensity, kinetic energy, and EI30; and bi-weekly and monthly rainfall summaries of rainfall, energy, EI30 and erosivity density. Optionally, storms with less than 0.5 in. (12.7mm) of precipitation may be excluded from the energy and intensity calculations. Standard WEPP outputs include daily rainfall, storm duration (reduced by excluding periods greater than 30 minutes without rain), ip, and tp. Output for SWAT and AnnAGNPS include daily precipitation and, optionally, sub-daily precipitation totals. RIST also includes the capability to generate (1) precipitation totals at any user-specified fixed time interval or (2) a storm-by-storm analysis including maximum intensities observed during 5, 10, 15, 20, 30, and 60 minute within-in storm periods.

UKCP09: Gridded datasets of annual values. Rainfall intensity on days of rain. The day-by-day sum of the mean number of degrees by which the air temperature is more than a value of 22 °C Total precipitation on days with ≥1 mm divided by count of days with ≥1 mm during the year.

The datasets have been created with financial support from the Department for Environment, Food and Rural Affairs (Defra) and they are being promoted by the UK Climate Impacts Programme (UKCIP) as part of the UK Climate Projections (UKCP09). http://ukclimateprojections.defra.gov.uk/content/view/12/689/.

To view this data you will have to register on the Met Office website, here: http://www.metoffice.gov.uk/research/climate/climate-monitoring/UKCP09/register

ABSTRACT Rainfall intensity equations are fundamental in hydrological studies of road design, which require a project rainfall definition to estimate the project flow and the subsequent design of the hydraulic structure. This paper develops an integrated framework for rainfall intensity equations analyses from global optimization via Differential Evolution. The code was specially developed to facilitate the Gumbel model adjustment in the frequency analysis of annual series, as well as the intensity-duration-frequency model fit, without prior knowledge about the parameters of both models. The developed system was evaluated by using Markov chain Monte Carlo simulation, that search efficiently the model parameter space in pursuit of posterior samples and the posterior prediction uncertainty for both models. The results indicate that simulations are shown to be in good agreement with the measured flow and precipitation data. The optimal parameters obtained with the developed framework agreed with the maximum a-posteriori value of the Monte Carlo simulations. The paper illustrates explicitly the benefits of the method using real-world precipitation data collected for a hydrologic study of a highway design.