39 datasets found
  1. Annual precipitation in the United States 2024, by state

    • statista.com
    Updated Feb 2, 2025
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    Statista (2025). Annual precipitation in the United States 2024, by state [Dataset]. https://www.statista.com/statistics/1101518/annual-precipitation-by-us-state/
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    Dataset updated
    Feb 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, Louisiana recorded ***** inches of precipitation. This was the highest precipitation within the 48 contiguous U.S. states that year. On the other hand, Nevada was the driest state, with only **** inches of precipitation recorded. Precipitation across the United States Not only did Louisiana record the largest precipitation volume in 2024, but it also registered the highest precipitation anomaly that year, around 14.36 inches above the 1901-2000 annual average. In fact, over the last decade, rainfall across the United States was generally higher than the average recorded for the 20th century. Meanwhile, the driest states were located in the country's southwestern region, an area which – according to experts – will become even drier and warmer in the future. How does global warming affect precipitation patterns? Rising temperatures on Earth lead to increased evaporation which – ultimately – results in more precipitation. Since 1900, the volume of precipitation in the United States has increased at an average rate of **** inches per decade. Nevertheless, the effects of climate change on precipitation can vary depending on the location. For instance, climate change can alter wind patterns and ocean currents, causing certain areas to experience reduced precipitation. Furthermore, even if precipitation increases, it does not necessarily increase the water availability for human consumption, which might eventually lead to drought conditions.

  2. Highest rainfall anomalies in the United States 2024, by state

    • statista.com
    Updated Feb 2, 2025
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    Statista (2025). Highest rainfall anomalies in the United States 2024, by state [Dataset]. https://www.statista.com/statistics/1293625/wettest-precipitation-anomalies-in-the-us-by-state/
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    Dataset updated
    Feb 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, the state of Louisiana recorded the wettest precipitation anomaly across the contiguous United States, with around **** inches of precipitation above the ********* annual average. Ranking second was the state of Rhode Island, where rainfall was more than **** inches above the average. That same year, the annual precipitation anomaly across the U.S. amounted to some **** inches.

  3. Annual precipitation volume in the United States 1900-2024

    • statista.com
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    Statista, Annual precipitation volume in the United States 1900-2024 [Dataset]. https://www.statista.com/statistics/504400/volume-of-precipitation-in-the-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the United States saw some **** inches of precipitation. The main forms of precipitation include hail, drizzle, rain, sleet, and snow. Since the turn of the century, 2012 was the driest year on record with an annual precipitation of **** inches. Regional disparities in rainfall Louisiana emerged as the wettest state in the U.S. in 2024, recording a staggering ***** inches (*** meters) of precipitation—nearly **** inches (ca. ** centimeters) above its historical average. In stark contrast, Nevada received only **** inches (ca. ** centimeters), underscoring the vast differences in rainfall across the nation. These extremes illustrate the uneven distribution of precipitation, with the southwestern states experiencing increasingly dry conditions that experts predict will worsen in the coming years. Drought concerns persist Drought remains a significant concern in many parts of the country. The Palmer Drought Severity Index (PDSI) for the contiguous United States stood at ***** in December 2024, indicating moderate to severe drought conditions. This reading follows three years of generally negative PDSI values, with the most extreme drought recorded in December 2023 at *****.

  4. d

    Data from: Daily time series of surface water input from rainfall, rain on...

    • catalog.data.gov
    • data.usgs.gov
    Updated Nov 21, 2025
    + more versions
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    U.S. Geological Survey (2025). Daily time series of surface water input from rainfall, rain on snow, and snowmelt for the Conterminous United States from 1990 to 2023, as well as annual series of input seasonality, precipitation seasonality, and average rainfall, rain on snow, and snowmelt rates [Dataset]. https://catalog.data.gov/dataset/daily-time-series-of-surface-water-input-from-rainfall-rain-on-snow-and-snowmelt-for-the-c
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    Dataset updated
    Nov 21, 2025
    Dataset provided by
    U.S. Geological Survey
    Area covered
    United States
    Description

    This data release contains daily gridded data reflecting surface water input from rainfall, rain on snow (mixed), and snowmelt for the conterminous United States for water years 1990 to 2023 (1990/10/01 to 2023/09/30). This release also contains annual estimates of gridded input seasonality (an index reflecting whether surface water input occurs within a concentrated period or is equally distributed throughout the year), precipitation seasonality, average snowmelt, rainfall and rain on snow rates, and finally, annual totals of each input type. Average snowmelt, rainfall and rain on snow rates were computed using days where values were greater than zero. Daily data were generated using precipitation input from the gridMET dataset (Abatzoglou, 2013) and the University of Arizona snow water equivalent product (Broxton et al., 2019). Abatzoglou, J. T. (2013), Development of gridded surface meteorological data for ecological applications and modelling. Int. J. Climatol., 33: 121–131. Broxton, P., X. Zeng, and N. Dawson. (2019). Daily 4 km Gridded SWE and Snow Depth from Assimilated In-Situ and Modeled Data over the Conterminous US, Version 1. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/0GGPB220EX6A.

  5. U.S. Hourly Precipitation Data

    • ncei.noaa.gov
    • data.globalchange.gov
    • +7more
    csv, dat, kmz
    Updated Oct 1951
    + more versions
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    NOAA National Centers for Environmental Information (NCEI) (1951). U.S. Hourly Precipitation Data [Dataset]. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00313
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    csv, dat, kmzAvailable download formats
    Dataset updated
    Oct 1951
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Time period covered
    Jan 1, 1940 - Dec 31, 2013
    Area covered
    Geographic Region > Polar, Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Palau, Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Marshall Islands, Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands, Ocean > Atlantic Ocean > North Atlantic Ocean > Caribbean Sea > Virgin Islands, Geographic Region > Mid-Latitude, Ocean > Pacific Ocean > Central Pacific Ocean > American Samoa, Geographic Region > Equatorial, Ocean > Atlantic Ocean > North Atlantic Ocean > Caribbean Sea > Puerto Rico, Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Guam
    Description

    Hourly Precipitation Data (HPD) is digital data set DSI-3240, archived at the National Climatic Data Center (NCDC). The primary source of data for this file is approximately 5,500 US National Weather Service (NWS), Federal Aviation Administration (FAA), and cooperative observer stations in the United States of America, Puerto Rico, the US Virgin Islands, and various Pacific Islands. The earliest data dates vary considerably by state and region: Maine, Pennsylvania, and Texas have data since 1900. The western Pacific region that includes Guam, American Samoa, Marshall Islands, Micronesia, and Palau have data since 1978. Other states and regions have earliest dates between those extremes. The latest data in all states and regions is from the present day. The major parameter in DSI-3240 is precipitation amounts, which are measurements of hourly or daily precipitation accumulation. Accumulation was for longer periods of time if for any reason the rain gauge was out of service or no observer was present. DSI 3240_01 contains data grouped by state; DSI 3240_02 contains data grouped by year.

  6. T

    United States Average Precipitation

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). United States Average Precipitation [Dataset]. https://tradingeconomics.com/united-states/precipitation
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1901 - Dec 31, 2024
    Area covered
    United States
    Description

    Precipitation in the United States increased to 777.25 mm in 2024 from 738.01 mm in 2023. This dataset includes a chart with historical data for the United States Average Precipitation.

  7. U

    30 year (1981 - 2010) annual average of daily intensity of precipitation for...

    • data.usgs.gov
    • gimi9.com
    • +2more
    Updated May 11, 2019
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    Timur Sabitov; Michael Wieczorek (2019). 30 year (1981 - 2010) annual average of daily intensity of precipitation for a rain event for the Conterminous United States and District of Columbia [Dataset]. http://doi.org/10.5066/P9T3NSBB
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    Dataset updated
    May 11, 2019
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Timur Sabitov; Michael Wieczorek
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jan 1, 1981 - Dec 31, 2010
    Area covered
    Contiguous United States, Washington, United States
    Description

    This metadata record describes the average daily precipitation intensity for rain events during the 30-year period 1981 – 2010 for the conterminous United States. A rain event is defined as a period when the number of consecutive days with precipitation equals or exceeds 1 millimeter. Daily precipitation intensity is defined as the amount of precipitation over the duration of a rain event divided by the number of days in a rain event. The source data was produced and acquired from DAYMET (2018) and is presented here as a 1-kilometer resolution GeoTIFF file.

  8. U.S. cities with the highest annual precipitation 1981-2010

    • statista.com
    Updated Nov 16, 2018
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    Statista (2018). U.S. cities with the highest annual precipitation 1981-2010 [Dataset]. https://www.statista.com/statistics/1039746/us-cities-with-the-most-precipitation/
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    Dataset updated
    Nov 16, 2018
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1981 - 2010
    Area covered
    United States
    Description

    The majority of the wettest cities in the United States are located in the Southeast. The major city with the most precipitation is New Orleans, Louisiana, which receives an average of 1592 millimeters (62.7 inches) of precipitation every year, based on an average between 1981 and 2010.

  9. p

    Rain for Rent Locations Data for United States

    • poidata.io
    csv, json
    Updated Nov 2, 2025
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    Business Data Provider (2025). Rain for Rent Locations Data for United States [Dataset]. https://poidata.io/brand-report/rain-for-rent/united-states
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    csv, jsonAvailable download formats
    Dataset updated
    Nov 2, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 65 verified Rain for Rent locations in United States with complete contact information, ratings, reviews, and location data.

  10. s

    Major U.S. cities with the most rainy days 1981-2010

    • statista.com
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    Statista, Major U.S. cities with the most rainy days 1981-2010 [Dataset]. https://www.statista.com/statistics/226747/us-cities-with-the-most-rainy-days/
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    Dataset authored and provided by
    Statista
    Time period covered
    1981 - 2010
    Area covered
    United States
    Description

    This statistic shows the ten major U.S. cities with the most rainy days per year between 1981 and 2010. Rochester, New York, had an average of about 167 days per year with precipitation. The sunniest city in the U.S. was Phoenix, Arizona, with an average of 85 percent of sunshine per day.

  11. Buy Rain Umbrellas Online In Florida

    • kaggle.com
    zip
    Updated Jun 14, 2022
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    Huriia (2022). Buy Rain Umbrellas Online In Florida [Dataset]. https://www.kaggle.com/datasets/huriia/buy-rain-umbrellas-online-in-florida
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    zip(3784 bytes)Available download formats
    Dataset updated
    Jun 14, 2022
    Authors
    Huriia
    Area covered
    Florida
    Description

    Huriia is a platform for people who are looking for an umbrella to **buy rain umbrellas online in Florida**. There's no need to worry about buying an expensive and branded umbrella from the market, just choose from a variety of umbrellas that we provide online.

  12. National Neighborhood Data Archive (NaNDA): Weather by County, United...

    • icpsr.umich.edu
    • archive.icpsr.umich.edu
    ascii, delimited, r +3
    Updated Sep 14, 2023
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    Gronlund, Carina; Melendez, Robert; Gypin, Lindsay; Clarke, Philippa (2023). National Neighborhood Data Archive (NaNDA): Weather by County, United States, 2003-2016 [Dataset]. http://doi.org/10.3886/ICPSR38858.v1
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    r, spss, delimited, stata, ascii, sasAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Gronlund, Carina; Melendez, Robert; Gypin, Lindsay; Clarke, Philippa
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38858/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38858/terms

    Time period covered
    2003 - 2016
    Area covered
    United States
    Description

    These datasets contain measures of weather by county in the United States for the years 2003-2016. Measures include average daily temperature, freezing days, cold days, hot days, rainy days, and snowy days.

  13. R-Factor for the Conterminous United States

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Oct 31, 2024
    + more versions
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). R-Factor for the Conterminous United States [Dataset]. https://catalog.data.gov/dataset/r-factor-for-the-conterminous-united-states1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Contiguous United States, United States
    Description

    The rainfall-runoff erosivity factor (R-Factor) quantifies the effects of raindrop impacts and reflects the amount and rate of runoff associated with the rain. The R-factor is one of the parameters used by the Revised Unified Soil Loss Equation (RUSLE) to estimate annual rates of erosion. This product is a raster representation of R-Factor derived from isoerodent maps published in the Agriculture Handbook Number 703 (Renard et al.,1997). Lines connecting points of equal rainfall ersoivity are called isoerodents. The iserodents plotted on a map of the coterminous U.S. were digitized, then values between these lines were obtained by linear interpolation. The final R-Factor data are in raster GeoTiff format at 800 meter resolution in Albers Conic Equal Area, GRS80, NAD83.

  14. d

    Data from: Attributes for NHDPlus Catchments (Version 1.1) for the...

    • search.dataone.org
    • data.usgs.gov
    • +2more
    Updated Oct 29, 2016
    + more versions
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    Michael E. Wieczorek; Andrew E. LaMotte (2016). Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Average Monthly Precipitation, 2002 [Dataset]. https://search.dataone.org/view/75706b4a-3b35-4bb9-93c9-51b42e028e06
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Michael E. Wieczorek; Andrew E. LaMotte
    Area covered
    Variables measured
    OID, COMID, COV_PERC, PPT02MEAN, BASIN_AREA, NODATA_ARE
    Description

    This data set represents the average monthly precipitation in millimeters multiplied by 100 for 2002 compiled for every catchment of NHDPlus for the conterminous United States. The source data were the Near-Real-Time Monthly High-Resolution Precipitation Climate Data Set for the Conterminous United States (2002) raster dataset produced by the Spatial Climate Analysis Service at Oregon State University.

    The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as "the New England Method." This technique involves "burning in" the 1:100,000-scale NHD and when available building "walls" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States.

    The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.

  15. d

    Data from: Attributes for NHDPlus Catchments (Version 1.1) for the...

    • search.dataone.org
    • data.usgs.gov
    • +4more
    Updated Oct 29, 2016
    + more versions
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    Michael E. Wieczorek; Andrew E. LaMotte (2016). Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: 30-Year Average Annual Precipitation, 1971-2000 [Dataset]. https://search.dataone.org/view/9486d556-66af-413e-ae5d-032592843a92
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Michael E. Wieczorek; Andrew E. LaMotte
    Time period covered
    Jan 1, 1971 - Jan 1, 2000
    Area covered
    Variables measured
    OID, COMID, COV_PERC, PPT30MEAN, BASIN_AREA, NODATA_ARE
    Description

    This data set represents the 30-year (1971-2000) average annual precipitation in millimeters multiplied by 100 compiled for every catchment of NHDPlus for the conterminous United States. The source data were the "United States Average Monthly or Annual Precipitation, 1971 - 2000" raster dataset produced by the PRISM Group at Oregon State University.

    The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as "the New England Method." This technique involves "burning in" the 1:100,000-scale NHD and when available building "walls" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States.

    The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.

  16. Historical Annual Precipitation (CONUS) (Image Service)

    • catalog.data.gov
    • usfs.hub.arcgis.com
    • +4more
    Updated Nov 14, 2025
    + more versions
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    U.S. Forest Service (2025). Historical Annual Precipitation (CONUS) (Image Service) [Dataset]. https://catalog.data.gov/dataset/historical-annual-precipitation-conus-image-service-f2c16
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    Dataset updated
    Nov 14, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    The National Forest Climate Change Maps project was developed to meet the need of National Forest managers for information on projected climate changes at a scale relevant to decision making processes, including Forest Plans. The maps use state-of-the-art science and are available for every National Forest in the contiguous United States with relevant data coverage. Currently, the map sets include variables related to precipitation and air temperature, including both Alaskan and lower 48 datasets. Data from the lower 48 were downloaded from here: https://www.fs.usda.gov/rm/boise/AWAE/projects/national-forest-climate-change-maps.html, and Alaskan data came from here: https://www.snap.uaf.edu/tools/data-downloads. Historical data are compared with RCP 8.5 projections from the 2080s.A Raster Function Template is available in this service that will classify the data as originally intended by OSC. The RFT currently works in AGOL but not in ArcGIS Pro.

  17. d

    Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed...

    • catalog.data.gov
    • data.usgs.gov
    Updated Oct 22, 2025
    + more versions
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    U.S. Geological Survey (2025). Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds: 30 year (1981 - 2010) annual average of daily intensity of precipitation for a rain event for the Conterminous United States and District of Columbia [Dataset]. https://catalog.data.gov/dataset/attributes-for-nhdplus-version-2-1-reach-catchments-and-modified-routed-upstream-watershed-3e306
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    Dataset updated
    Oct 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Washington, United States
    Description

    This tabular data describes the annual average of daily intensity of precipitation for a rain event during the 30-year period 1981 – 2010 for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. A rain event is defined as a period when the number of consecutive days with precipitation equals or exceeds 1 millimeter. Daily precipitation intensity is defined as the amount of precipitation over the duration of a rain event divided by the number of days in a rain event. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for 30 year (1981-2010) annual average of daily intensity of precipitation for a rain event was a 1-kilometer resolution GeoTIFF file that was produced and acquired from DAYMET (2018). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

  18. M

    Rain Gauge Sites

    • gisdata.mn.gov
    ags_mapserver, fgdb +4
    Updated Dec 1, 2025
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    Metropolitan Council (2025). Rain Gauge Sites [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metc-env-mces-rain-gauge-sites
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    gpkg, shp, fgdb, jpeg, html, ags_mapserverAvailable download formats
    Dataset updated
    Dec 1, 2025
    Dataset provided by
    Metropolitan Council
    Description

    This dataset contains MCES rain gauges in the Twin Cities seven county metro area. MCES uses rain gauges for flow monitoring, planning, inflow/infiltration (I/I) analysis, and modeling purposes.

  19. f

    Rain Enhancement Technologies Holdco, Inc. Financial Filings and Reports

    • financialreports.eu
    json, pdf
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    FinancialReports, Rain Enhancement Technologies Holdco, Inc. Financial Filings and Reports [Dataset]. https://financialreports.eu/companies/rain-enhancement-technologies-holdco-inc/
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    pdf, jsonAvailable download formats
    Dataset authored and provided by
    FinancialReports
    License

    https://financialreports.eu/terms/https://financialreports.eu/terms/

    Area covered
    Europe
    Description

    A dataset of public corporate filings (such as annual reports, quarterly reports, and ad-hoc disclosures) for Rain Enhancement Technologies Holdco, Inc. (RAIN), provided by FinancialReports.eu.

  20. n

    Precipitation-Excessive Amounts for Short Durations

    • access.earthdata.nasa.gov
    • access.uat.earthdata.nasa.gov
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    Precipitation-Excessive Amounts for Short Durations [Dataset]. https://access.earthdata.nasa.gov/collections/C2102892569-NOAA_NCEI
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    not provided(1 KB)Available download formats
    Time period covered
    Jan 1, 1962 - Dec 31, 1972
    Area covered
    Description

    Precipitation-Excessive Amounts for Short Durations is historical digital data set DSI-9656, archived at the National Climatic Data Center (NCDC). These data consist of daily Heavy Precipitation Data (HPD) for the United States and the Pacific Islands from 1962 to 1972 in durations of 5, 10, 15, 20, 30, 45, 60, 80, 100, 120, 150, and 180 minute periods. The HPD maximums are for 15 or more minutes and up to 24 hours. They also include hourly and 15 minute accumulative data when available. A related file is DSI-9649 (C00243), Maximum Short Duration Precipitation. The Original sources are recording precipitation gauge charts from either a weighing or tipping bucket gauge. Excessive amounts are scaled from these charts and entered on WBAN 10B. Beginning January 1965 the amounts were punched at the station on Card No. 3 of precipitation Data Card 056 and converted to Card 060, excessive Precipitation Amounts, for this deck. Prior to January 1965 the amounts were obtained from WBAN 10B or Form 721-4, anannual chronological list of excessive precipitation. SUPPLEMENTARY NOTE Excessive precipitation is published in Climatological Data, National Summary, annual issue, beginning in 1950. Prior to 1950, excessive precipitation data were published in the Annual Report of the Chief of U.S. Weather Bureau, 1895-1934, and in the Meteorological Yearbook, 1935-1949.

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Statista (2025). Annual precipitation in the United States 2024, by state [Dataset]. https://www.statista.com/statistics/1101518/annual-precipitation-by-us-state/
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Annual precipitation in the United States 2024, by state

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 2, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United States
Description

In 2024, Louisiana recorded ***** inches of precipitation. This was the highest precipitation within the 48 contiguous U.S. states that year. On the other hand, Nevada was the driest state, with only **** inches of precipitation recorded. Precipitation across the United States Not only did Louisiana record the largest precipitation volume in 2024, but it also registered the highest precipitation anomaly that year, around 14.36 inches above the 1901-2000 annual average. In fact, over the last decade, rainfall across the United States was generally higher than the average recorded for the 20th century. Meanwhile, the driest states were located in the country's southwestern region, an area which – according to experts – will become even drier and warmer in the future. How does global warming affect precipitation patterns? Rising temperatures on Earth lead to increased evaporation which – ultimately – results in more precipitation. Since 1900, the volume of precipitation in the United States has increased at an average rate of **** inches per decade. Nevertheless, the effects of climate change on precipitation can vary depending on the location. For instance, climate change can alter wind patterns and ocean currents, causing certain areas to experience reduced precipitation. Furthermore, even if precipitation increases, it does not necessarily increase the water availability for human consumption, which might eventually lead to drought conditions.

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