48 datasets found
  1. Uv index forecast

    • dexes.eu
    • dataplatform.knmi.nl
    • +2more
    html
    Updated Aug 30, 2025
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    Koninklijk Nederlands Meteorologisch Instituut (2025). Uv index forecast [Dataset]. https://dexes.eu/en/dataset/uv-index-forecast
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    htmlAvailable download formats
    Dataset updated
    Aug 30, 2025
    Dataset provided by
    Royal Netherlands Meteorological Institutehttp://www.knmi.nl/
    Authors
    Koninklijk Nederlands Meteorologisch Instituut
    License

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

    Description

    The KNMI provides a daily solar irradiation forecast. The sun's power is a measure for the amount of ultraviolet radiation (UV) in sunlight that reaches the earth. The higher the sun is in the sky, the more solar radiation enters the atmosphere. Part of that radiation is invisible ultraviolet light (UV). It gives you a tan, but too much UV leads to sunburn and can eventually cause skin problems. The total amount of UV on the ground at noon is called solar power, internationally also known as the UV Index. The data is published in two different formats: txt and xml.

  2. u

    UV Index Data for Allada

    • uvindex.io
    Updated May 15, 2024
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    UVIndex.io (2024). UV Index Data for Allada [Dataset]. https://uvindex.io/allada
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    Dataset updated
    May 15, 2024
    Dataset provided by
    UVIndex.io
    Description

    This dataset contains current and historical UV Index data for Allada.

  3. Daily maximum and mean UV indices | DATA.GOV.HK

    • data.gov.hk
    Updated Dec 23, 2022
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    data.gov.hk (2022). Daily maximum and mean UV indices | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-hko-rss-daily-maximum-mean-uv-index
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    Dataset updated
    Dec 23, 2022
    Dataset provided by
    data.gov.hk
    Description

    Data on daily maximum and mean UV indices (Please visit the reference link for other climate information). The multiple file formats are available for datasets download in API.

  4. u

    UV Index Data for Wuxue

    • uvindex.io
    Updated Dec 25, 2023
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    UVIndex.io (2023). UV Index Data for Wuxue [Dataset]. https://uvindex.io/wuxue
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    Dataset updated
    Dec 25, 2023
    Dataset provided by
    UVIndex.io
    Description

    This dataset contains current and historical UV Index data for Wuxue.

  5. u

    UV Index Data for Kenosha

    • uvindex.io
    Updated May 27, 2024
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    UVIndex.io (2024). UV Index Data for Kenosha [Dataset]. https://uvindex.io/kenosha
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    Dataset updated
    May 27, 2024
    Dataset provided by
    UVIndex.io
    Area covered
    Kenosha
    Description

    This dataset contains current and historical UV Index data for Kenosha.

  6. d

    Ultraviolet Index (UVI)

    • data.gov.sg
    Updated Jul 31, 2025
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    National Environment Agency (2025). Ultraviolet Index (UVI) [Dataset]. https://data.gov.sg/datasets/d_1b676cd174a9af4704fdb3f9aa58ff5e/view
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    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    National Environment Agency
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from National Environment Agency. For more information, visit https://data.gov.sg/datasets/d_1b676cd174a9af4704fdb3f9aa58ff5e/view

  7. Cloud-modified uv index

    • dexes.eu
    • dataplatform.knmi.nl
    • +3more
    html
    Updated Aug 23, 2025
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    Koninklijk Nederlands Meteorologisch Instituut (2025). Cloud-modified uv index [Dataset]. https://dexes.eu/en/dataset/cloud-modified-uv-index
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    htmlAvailable download formats
    Dataset updated
    Aug 23, 2025
    Dataset provided by
    Royal Netherlands Meteorological Institutehttp://www.knmi.nl/
    Authors
    Koninklijk Nederlands Meteorologisch Instituut
    License

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

    Description

    Cloud-free and cloud-modified UV index data for an area covering The Netherlands for each quarter of an hour from 03:00 UTC up to and including 21:45 UTC, both in the usual non-dimensional unit, and given with 3 decimals. The UV index makes use of total ozone column data as well as the surface height and the amount of aerosols in the atmosphere.

  8. u

    UV Index Data for Xiping

    • uvindex.io
    Updated Feb 6, 2024
    + more versions
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    UVIndex.io (2024). UV Index Data for Xiping [Dataset]. https://uvindex.io/xiping
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    Dataset updated
    Feb 6, 2024
    Dataset provided by
    UVIndex.io
    Description

    This dataset contains current and historical UV Index data for Xiping.

  9. Latest 15-minute mean UV index from 7:00 a.m. to 6:00 p.m. Hong Kong time |...

    • data.gov.hk
    Updated Sep 2, 2025
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    (2023). Latest 15-minute mean UV index from 7:00 a.m. to 6:00 p.m. Hong Kong time | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-hko-rss-latest-fifteen-minute-mean-uv-index
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    Dataset updated
    Sep 2, 2025
    Dataset provided by
    data.gov.hk
    Area covered
    Hong Kong
    Description

    Provide the latest 15-minute mean UV index from 7:00 a.m. to 6:00 p.m. Hong Kong time. The multiple file formats are available for datasets download in API.

  10. w

    WOUDC UV Index Hourly

    • api.woudc.org
    • betageo.woudc.org
    Updated Jun 21, 2025
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    (2025). WOUDC UV Index Hourly [Dataset]. https://api.woudc.org/collections/uv_index_hourly
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    html, json, application/schema+json, jsonld, application/geo+jsonAvailable download formats
    Dataset updated
    Jun 21, 2025
    License

    https://woudc.org/en/data/data-use-policyhttps://woudc.org/en/data/data-use-policy

    Area covered
    Description

    Connection to uv_index_hourly in the WOUDC Data Registry Search Index.

  11. d

    Meteorological Administration_ Living Weather Index inquiry service (3.0)

    • data.go.kr
    json+xml
    Updated Apr 17, 2025
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    (2025). Meteorological Administration_ Living Weather Index inquiry service (3.0) [Dataset]. https://www.data.go.kr/en/data/15085288/openapi.do
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    json+xmlAvailable download formats
    Dataset updated
    Apr 17, 2025
    License

    http://www.kogl.or.kr/info/license.dohttp://www.kogl.or.kr/info/license.do

    Description

    The Korea Meteorological Administration’s daily weather index query API service that searches information such as UV index, air congestion index, and perceived temperature in summer by target environment

  12. d

    CustomWeather API | Ski Resort Weather Forecasts | Global Weather Data

    • datarade.ai
    .json, .xml, .csv
    Updated Oct 22, 2020
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    CustomWeather (2020). CustomWeather API | Ski Resort Weather Forecasts | Global Weather Data [Dataset]. https://datarade.ai/data-products/ski-resort-weather-forecasts-and-condition-reports-customweather
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    .json, .xml, .csvAvailable download formats
    Dataset updated
    Oct 22, 2020
    Dataset authored and provided by
    CustomWeather
    Area covered
    Lao People's Democratic Republic, French Southern Territories, Costa Rica, French Guiana, Estonia, Seychelles, French Polynesia, Tanzania, Bulgaria, Honduras
    Description

    CustomWeather's Ski Resort Weather Forecasts are available in both Metric and Imperial Units and are available in any of 95 languages.

    Ski Area Weather Forecasts: Each report provides condition descriptions, high/low temperatures, wind speed and direction, humidity, comfort level, UV index, expected and probability of precipitation, and visibility for the base, mid-mountain, and mountain peak. Available for over 4,800 ski resorts globally.

  13. u

    UV Index Data for Xigaze

    • uvindex.io
    Updated Dec 1, 2023
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    UVIndex.io (2023). UV Index Data for Xigaze [Dataset]. https://uvindex.io/xigaze
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    Dataset updated
    Dec 1, 2023
    Dataset provided by
    UVIndex.io
    Area covered
    Shigatse
    Description

    This dataset contains current and historical UV Index data for Xigaze.

  14. d

    CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data...

    • datarade.ai
    .json, .xml, .csv
    Updated Jun 10, 2023
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    CustomWeather (2023). CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage [Dataset]. https://datarade.ai/data-products/customweather-rainfall-api-rainfall-forecast-and-historical-customweather
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset authored and provided by
    CustomWeather
    Area covered
    Holy See, South Georgia and the South Sandwich Islands, Brunei Darussalam, Tokelau, Fiji, Qatar, Lebanon, Kuwait, Iran (Islamic Republic of), Ecuador
    Description

    The backbone of CustomWeather's forecasting arm is our proven, high-resolution model, the CW100. The CW100 Model is based on physics, not statistics or airport observations. As a result, it can achieve significantly better accuracy than statistical models, especially for non-airport locations. While other forecast models are designed to forecast the entire atmosphere, the CW100 greatly reduces computational requirements by focusing entirely on conditions near the ground. This reduction of computations allows it to resolve additional physical processes near the ground that are not resolved by other models. It also allows the CW100 to operate at a much higher resolution, typically 100x finer than standard models and other gridded forecasts.

    Detailed Forecasts:
    Features a detailed 48-hour outlook broken into four segments per day: morning, afternoon, evening, and overnight. Each segment provides condition descriptions, high/low temperatures, wind speed and direction, humidity, comfort level, UV index, expected and probability of precipitation, 6-hr forecasted precip amounts, and miles of visibility. Available for over 85,000 forecast points globally. The information is updated four times per day.

    Extended Forecasts Days 1-15:
    Features condition descriptions, high/low temperatures, wind speed and direction, humidity, comfort level, UV index, expected and probability of precipitation, and miles of visibility. Available for over 85,000 forecast points globally. The information is updated four times per day.

    Hour-by-Hour Forecasts: Features Hour-by-Hour forecasts. The product is available as 12 hour, 48 hour and 168 hour blocks. Each hourly forecast includes weather descriptions, wind conditions, temperature, dew point, humidity, visibility, rainfall totals, snowfall totals, and precipitation probability. Available for over 85,000 forecast points globally. Updated four times per day.

    Historical Longer Term Forecasts: Includes historical hourly and/or daily forecast data from 2009 until present date. Data will include condition descriptions, high/low temperatures, wind speed and direction, dew point, humidity, comfort level, UV index, probability of precipitation, rainfall and snowfall amounts. Available for over 85,000 forecast points globally. The information is updated four times per day.

    Below are available time periods per each type of forecast from the GFS model and from CustomWeather's proprietary CW100 model:

    GFS: 7-day hourly forecasts from August 2nd 2009; 48-hour to 5-day detailed forecasts from August 4th 2009; 15-day forecasts from October 9th 2008.

    CW100: 7-day hourly forecasts from November 27, 2012; 48-hour detailed forecasts from November 12, 2011; 7-day forecasts from December 6, 2010, 15-day forecasts from August 6, 2012. CW100 is CustomWeather's proprietary model.

    MOS: (Model Output Statistics) for any global location using archive of model and observation data. 0.25 degree resolution. 15-day hourly forecasts from January 1, 2017; 15-day forecasts from April 19, 2017.

  15. u

    UV Index Data for Pinghu

    • uvindex.io
    Updated Dec 12, 2023
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    UVIndex.io (2023). UV Index Data for Pinghu [Dataset]. https://uvindex.io/pinghu
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    Dataset updated
    Dec 12, 2023
    Dataset provided by
    UVIndex.io
    Area covered
    Pinghu
    Description

    This dataset contains current and historical UV Index data for Pinghu.

  16. u

    UV Index Data for Baojishi

    • uvindex.io
    Updated Jun 5, 2025
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    UVIndex.io (2025). UV Index Data for Baojishi [Dataset]. https://uvindex.io/baojishi
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    Dataset updated
    Jun 5, 2025
    Dataset provided by
    UVIndex.io
    Description

    This dataset contains current and historical UV Index data for Baojishi.

  17. u

    UV Index Data for Xingcheng

    • uvindex.io
    Updated Dec 25, 2023
    + more versions
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    UVIndex.io (2023). UV Index Data for Xingcheng [Dataset]. https://uvindex.io/xingcheng
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    Dataset updated
    Dec 25, 2023
    Dataset provided by
    UVIndex.io
    Area covered
    Xingcheng
    Description

    This dataset contains current and historical UV Index data for Xingcheng.

  18. Washington DC Historical Weather 2015/8~2024/07

    • kaggle.com
    Updated Oct 8, 2024
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    Ta-wei Lo (2024). Washington DC Historical Weather 2015/8~2024/07 [Dataset]. https://www.kaggle.com/datasets/taweilo/washington-dc-historical-weather-20158202407/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 8, 2024
    Dataset provided by
    Kaggle
    Authors
    Ta-wei Lo
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Washington
    Description

    Washington DC Weather Data

    1. File information: duration 2015/08~2024/07

    • name: location
    • datetime: date
    • tempmax: maximum temperature (°C) at the location.
    • tempmin: minimum temperature (°C) at the location.
    • temp: temperature (°C) at the location. Daily values are average values (mean) for the day.
    • feelslikemax: maximum feels like temperature (°C) at the location.
    • feelslikemin: minimum feels like temperature (°C) at the location.
    • feelslike: what the temperature feels like (°C) accounting for heat index or wind chill. Daily values are average values (mean) for the day.
    • dew: dew point temperature (°C)
    • humidity: relative humidity in %
    • precip: the amount of liquid precipitation that fell or is predicted to fall in the period.
    • precipprob: the likelihood of measurable precipitation ranging from 0% to 100%
    • precipcover: the proportion of hours where there was non-zero precipitation
    • preciptype: an array indicating the type(s) of precipitation expected or that occurred.
    • snow: the amount of snow that fell or is predicted to fall
    • snowdepth: the depth of snow on the ground
    • windgust: instantaneous wind speed at a location
    • windspeed: the sustained wind speed measured as the average windspeed that occurs during the preceding one to two minutes. Daily values are the maximum hourly value for the day.
    • winddir: direction from which the wind is blowing
    • sealevelpressure: the sea level atmospheric or barometric pressure in millibars
    • cloudcover: the sea level atmospheric or barometric pressure in millibars
    • visibility: distance at which distant objects are visible
    • solarradiation: (W/m2) the solar radiation power at the instantaneous moment of the observation (or forecast prediction)
    • solarenergy: (MJ /m2 ) indicates the total energy from the sun that builds up over a day.
    • uvindex: a value between 0 and 10 indicating the level of ultra violet (UV) exposure for that day.
    • severerisk: a value between 0 and 100 representing the risk of convective storms
    • sunrise: the formatted time of the sunrise
    • sunset: the formatted time of the sunset
    • moonphase: represents the fractional portion through the current moon lunation cycle ranging from 0 (the new moon) to 0.5 (the full moon) and back to 1 (the next new moon)
    • conditions: textual representation of the weather conditions.
    • description: longer text descriptions suitable for displaying in weather displays
    • icon: a fixed, machine readable summary that can be used to display an icon
    • stations: the weather stations used when collecting a historical observation record Parameters information: https://www.visualcrossing.com/resources/documentation/weather-api/timeline-weather-api/

    Data source : https://www.visualcrossing.com/

    2. Recommended analysis

    - EDA / Visualize the weather information

    - Time-series prediction of the weather

    - Dimension reduction(PCA, t-SNE, UMAP)

    Feel free to leave comments on the discussion. I'd appreciate your upvote if you find my dataset useful! 😀

  19. u

    UV Index Data for Ailan Mubage

    • uvindex.io
    Updated Dec 31, 2024
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    UVIndex.io (2024). UV Index Data for Ailan Mubage [Dataset]. https://uvindex.io/ailan-mubage
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    Dataset updated
    Dec 31, 2024
    Dataset provided by
    UVIndex.io
    Description

    This dataset contains current and historical UV Index data for Ailan Mubage.

  20. ERA5 hourly data on single levels from 1940 to present

    • cds.climate.copernicus.eu
    • arcticdata.io
    grib
    Updated Sep 2, 2025
    + more versions
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    ECMWF (2025). ERA5 hourly data on single levels from 1940 to present [Dataset]. http://doi.org/10.24381/cds.adbb2d47
    Explore at:
    gribAvailable download formats
    Dataset updated
    Sep 2, 2025
    Dataset provided by
    European Centre for Medium-Range Weather Forecastshttp://ecmwf.int/
    Authors
    ECMWF
    License

    https://object-store.os-api.cci2.ecmwf.int:443/cci2-prod-catalogue/licences/cc-by/cc-by_f24dc630aa52ab8c52a0ac85c03bc35e0abc850b4d7453bdc083535b41d5a5c3.pdfhttps://object-store.os-api.cci2.ecmwf.int:443/cci2-prod-catalogue/licences/cc-by/cc-by_f24dc630aa52ab8c52a0ac85c03bc35e0abc850b4d7453bdc083535b41d5a5c3.pdf

    Time period covered
    Jan 1, 1940 - Aug 27, 2025
    Description

    ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 8 decades. Data is available from 1940 onwards. ERA5 replaces the ERA-Interim reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. This principle, called data assimilation, is based on the method used by numerical weather prediction centres, where every so many hours (12 hours at ECMWF) a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. ERA5 provides hourly estimates for a large number of atmospheric, ocean-wave and land-surface quantities. An uncertainty estimate is sampled by an underlying 10-member ensemble at three-hourly intervals. Ensemble mean and spread have been pre-computed for convenience. Such uncertainty estimates are closely related to the information content of the available observing system which has evolved considerably over time. They also indicate flow-dependent sensitive areas. To facilitate many climate applications, monthly-mean averages have been pre-calculated too, though monthly means are not available for the ensemble mean and spread. ERA5 is updated daily with a latency of about 5 days. In case that serious flaws are detected in this early release (called ERA5T), this data could be different from the final release 2 to 3 months later. In case that this occurs users are notified. The data set presented here is a regridded subset of the full ERA5 data set on native resolution. It is online on spinning disk, which should ensure fast and easy access. It should satisfy the requirements for most common applications. An overview of all ERA5 datasets can be found in this article. Information on access to ERA5 data on native resolution is provided in these guidelines. Data has been regridded to a regular lat-lon grid of 0.25 degrees for the reanalysis and 0.5 degrees for the uncertainty estimate (0.5 and 1 degree respectively for ocean waves). There are four main sub sets: hourly and monthly products, both on pressure levels (upper air fields) and single levels (atmospheric, ocean-wave and land surface quantities). The present entry is "ERA5 hourly data on single levels from 1940 to present".

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Koninklijk Nederlands Meteorologisch Instituut (2025). Uv index forecast [Dataset]. https://dexes.eu/en/dataset/uv-index-forecast
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Uv index forecast

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416 scholarly articles cite this dataset (View in Google Scholar)
htmlAvailable download formats
Dataset updated
Aug 30, 2025
Dataset provided by
Royal Netherlands Meteorological Institutehttp://www.knmi.nl/
Authors
Koninklijk Nederlands Meteorologisch Instituut
License

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

Description

The KNMI provides a daily solar irradiation forecast. The sun's power is a measure for the amount of ultraviolet radiation (UV) in sunlight that reaches the earth. The higher the sun is in the sky, the more solar radiation enters the atmosphere. Part of that radiation is invisible ultraviolet light (UV). It gives you a tan, but too much UV leads to sunburn and can eventually cause skin problems. The total amount of UV on the ground at noon is called solar power, internationally also known as the UV Index. The data is published in two different formats: txt and xml.

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