This historical weather dataset provides hourly weather data for a number of major European Cities between 2003-01-01 and 2022-12-31. You can use this data to analyze and understand how weather has impacted your business, enrich your website with weather-related information, or enhance your data science projects with weather data. In addition to standard weather measurements such as air pressure, temperature, precipitation, and wind speed, this dataset includes solar radiation and UV index data as well. The full list of fields is provided in the documentation.

Key features:

• Hourly historical weather data between 2003 and 2022
• Includes solar radiation data
• Provides information on standard weather measurements such as air pressure, temperature, precipitation, and wind speed
• Offers insights into how weather has impacted your business

This Historical Weather Data is crucial for businesses needing detailed Climate Data, including Precipitation Data and Wind Data, to make informed decisions

Generated using Copernicus Climate Change Service information 2023 Contains modified Copernicus Climate Change Service information 2023

Saudi Arabia hourly climate integrated surface data with the below data observations, WindSky conditionVisibilityAir temperatureDewSea level pressureNote: The dataset will contain the last 5 years hourly data, however, check the attachments section in this dataset if you need historical data.

Historical Weather Data
This dataset falls under the category Environmental Data Climate Data.
It contains the following data: historical weather data
This dataset was scouted on 2022-02-28 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://www.worldweatheronline.com/hosur-weather-history/tamil-nadu/in.aspxSee URL for data access and license information.

Climate data have been collected at Scott Base continuously since 1957 and more recently from Arrival Heights and is one of the longest continuous climate records in Antarctica. Climate parameters measured include: wind speed and direction, air temperature, relative humidity, barometric pressure, and global, diffuse and direct solar radition. Climate data are collected on a daily basis from both sites. At Scott Base, this takes two forms: a standard daily observation at 0900 NZDT, and continuous data collection at 10 minute and hourly intervals using a CR10X data logger. The initial record of the 0900 daily observations began on 1 March 1957 with air temperature, air pressure, wind speed and direction, and global solar radiation being measured with standard instrumentation (wind measurements since 1972). This record constitutes the reference record. In January 1997 an electronic weather station (EWS) was added to collect and archive 10 minute and hourly data. The daily manual observations continued so as to provide a continuous reference and daily record. Historically, Arrival Heights only had a wind recorder (since January 1984). A data logger was installed in January 1999 and measured air temperature, relative humidity and global solar radition using a secondary network sensor, as well as wind speed and direction. A barometric pressure sensor was installed in 2001. A standard 10m mast was installed and all sensors were moved to the new Arrival Heights laboratory in 2007. 10-minute and hourly data are recorded. Data are retrieved and archived from both automatic stations daily, as well as manual observations from Scott Base and available on New Zealand's national climate database.

AWIS Weather Services has delivered weather data from our small business in Auburn, Alabama to companies all over the world for over 25 years. We started with a few citrus growing clients in Florida and have expanded to worldwide offerings in both Historical Weather Data and Localized Human Weather Forecasts.

Our Extensive Historical Weather Database is full of 100% quality checked weather data from over 30,000 observation sites worldwide. The data is REAL WEATHER OBSERVATIONS and visually checked by humans each day.

This service is your access to that database as it gets updated.

You choose the variables you need. You choose the cities you need covered. We'll handle the data pulling, updating, and delivery. Most of the time, it's a simple .csv file saved to the Amazon S3 bucket system that only you have access to.

Variables for Live Weather Data Feed available for most locations are Max Temperature Min Temperature Total Precipitation Average Wind Speed Average Cloud Cover Average Temperature Max Relative Humidity Min Relative Humidity Evapotranspiration Potential Evapotranspiration Total Hours of Sunshine Solar Radiation Veg Wetting Max Soil Temperature Min Soil Temperature Average Soil Temperature Snow Fall Snow Depth

If a variable not listed is needed, contact us, we can likely generate the output from our many ingested inputs stored in our historical databases.

PRICING ESTIMATES: (The number of variables requested could change the price slightly) $1.50 per site, per month if you need less than 1000 sites. $1.25 per site, per month if you need 1001-5000 sites. $0.75 per site, per month if you need 5001-10000 sites. $0.25 per site, per month if you need over 10k sites.

Discounts available for long term deals. HISTORICAL DATA available upon request at a reduced rate. Reach out to us for more details and we can provide a targeted proposal within hours.

This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at Beacon Wind | Bureau of Ocean Energy Management (boem.gov) Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.

Note that 2013 and 2014 datasets are available for download in the attachment tab below.The journal article describing GHCN-Daily is: Menne, M.J., I. Durre, R.S. Vose, B.E. Gleason, and T.G. Houston, 2012: An overview of the Global Historical Climatology Network-Daily Database. Journal of Atmospheric and Oceanic Technology, 29, 897-910, doi:10.1175/JTECH-D-11-00103.1.Menne, M.J., I. Durre, B. Korzeniewski, S. McNeal, K. Thomas, X. Yin, S. Anthony, R. Ray, R.S. Vose, B.E.Gleason, and T.G. Houston, 2012: Global Historical Climatology Network - Daily (GHCN-Daily), Version 3. [indicate subset used following decimal, e.g. Version 3.12]. NOAA National Climatic Data Center. http://doi.org/10.7289/V5D21VHZ

Local Climatological Data (LCD) are summaries of climatological conditions from airport and other prominent weather stations managed by NWS, FAA, and DOD. The product includes hourly observations and associated remarks, and a record of hourly precipitation for the entire month. Also included are daily summaries summarizing temperature extremes, degree days, precipitation amounts and winds. The tabulated monthly summaries in the product include maximum, minimum, and average temperature, temperature departure from normal, dew point temperature, average station pressure, ceiling, visibility, weather type, wet bulb temperature, relative humidity, degree days (heating and cooling), daily precipitation, average wind speed, fastest wind speed/direction, sky cover, and occurrences of sunshine, snowfall and snow depth. The source data is global hourly (DSI 3505) which includes a number of quality control checks.

Global Surface Summary of the Day is derived from The Integrated Surface Hourly (ISH) dataset. The ISH dataset includes global data obtained from the USAF Climatology Center, located in the Federal Climate Complex with NCDC. The latest daily summary data are normally available 1-2 days after the date-time of the observations used in the daily summaries. The online data files begin with 1929 and are at the time of this writing at the Version 8 software level. Over 9000 stations' data are typically available. The daily elements included in the dataset (as available from each station) are: Mean temperature (.1 Fahrenheit) Mean dew point (.1 Fahrenheit) Mean sea level pressure (.1 mb) Mean station pressure (.1 mb) Mean visibility (.1 miles) Mean wind speed (.1 knots) Maximum sustained wind speed (.1 knots) Maximum wind gust (.1 knots) Maximum temperature (.1 Fahrenheit) Minimum temperature (.1 Fahrenheit) Precipitation amount (.01 inches) Snow depth (.1 inches) Indicator for occurrence of: Fog, Rain or Drizzle, Snow or Ice Pellets, Hail, Thunder, Tornado/Funnel Cloud Global summary of day data for 18 surface meteorological elements are derived from the synoptic/hourly observations contained in USAF DATSAV3 Surface data and Federal Climate Complex Integrated Surface Hourly (ISH). Historical data are generally available for 1929 to the present, with data from 1973 to the present being the most complete. For some periods, one or more countries' data may not be available due to data restrictions or communications problems. In deriving the summary of day data, a minimum of 4 observations for the day must be present (allows for stations which report 4 synoptic observations/day). Since the data are converted to constant units (e.g, knots), slight rounding error from the originally reported values may occur (e.g, 9.9 instead of 10.0). The mean daily values described below are based on the hours of operation for the station. For some stations/countries, the visibility will sometimes 'cluster' around a value (such as 10 miles) due to the practice of not reporting visibilities greater than certain distances. The daily extremes and totals--maximum wind gust, precipitation amount, and snow depth--will only appear if the station reports the data sufficiently to provide a valid value. Therefore, these three elements will appear less frequently than other values. Also, these elements are derived from the stations' reports during the day, and may comprise a 24-hour period which includes a portion of the previous day. The data are reported and summarized based on Greenwich Mean Time (GMT, 0000Z - 2359Z) since the original synoptic/hourly data are reported and based on GMT.

We created and curated a dataset of historical (1980-2019) hourly meteorology, load, wind, and solar data for the Salt River Project (SRP) region. The data was created by PNNL's GODEEEP project. Each row in the dataset is a single hour and each column is a variable. All meteorological variables are spatially-averaged over the SRP service territory. The variables and their units are as follows:

"Time_UTC"; Coordinated Universal Time (UTC); Time of day. "T2"; Fahrenheit; 2-m air temperature. "Q2"; kg/kg; 2-m water vapor mixing ratio. "SWDOWN"; W/m^2; Downwelling shortwave radiative flux at the surface. "GLW"; W/m^2; Downwelling longwave radiative flux at the surface. "WSPD"; m/s; 10-m wind speed. "Scaled_2019_Load"; MWh; Simulated hourly demand for electricity that is scaled to 2019 levels of annual energy. This load estimate does not account for historical changes in population and economics within the SRP service territory. It is included to make it easier to isolate weather impacts on load without having to consider long-term changes. "Load"; MWh; Simulated hourly demand for electricity. "Agua_Fria_Solar_Capacity"; N/A; Solar capacity factor for the SRP Agua Fria project with plant configurations taken from the EIA-860 database. "Phoenix_Solar_Capacity"; N/A; Solar capacity factor for hypothetical solar plants derived using the grid cell nearest to Phoenix, AZ. "Flagstaff_Solar_Capacity"; N/A; Solar capacity factor for hypothetical solar plants derived using the grid cell nearest to Flagstaff, AZ. "Phoenix_Wind_Capacity"; N/A; Wind capacity factor for hypothetical 80-m plants derived using the grid cell nearest to Phoenix, AZ. "Flagstaff_Wind_Capacity"; N/A; Wind capacity factor for hypothetical 80-m plants derived using the grid cell nearest to Flagstaff, AZ.

This data set was collected by weather sensors deployed on the AIMS Weather Station site John Brewer. Instrumentation was deployed for measuring Wind Direction from 31 Jul 1987 through to 30 May …Show full descriptionThis data set was collected by weather sensors deployed on the AIMS Weather Station site John Brewer. Instrumentation was deployed for measuring Wind Direction from 31 Jul 1987 through to 30 May 1988, and the installation was located at/on John Brewer Platform Historical Latitude:-18.6209 - Longitude:147.0538. Instrumentation was deployed for measuring Wind Speed from 31 Jul 1987 through to 30 May 1988, and the installation was located at/on John Brewer Platform Historical Latitude:-18.6209 - Longitude:147.0538.

These daily weather records were compiled from a subset of stations in the Global Historical Climatological Network (GHCN)-Daily dataset. A weather record is considered broken if the value exceeds the maximum (or minimum) value recorded for an eligible station. A weather record is considered tied if the value is the same as the maximum (or minimum) value recorded for an eligible station. Daily weather parameters include Highest Min/Max Temperature, Lowest Min/Max Temperature, Highest Precipitation, Highest Snowfall and Highest Snow Depth. All stations meet defined eligibility criteria. For this application, a station is defined as the complete daily weather records at a particular location, having a unique identifier in the GHCN-Daily dataset. For a station to be considered for any weather parameter, it must have a minimum of 30 years of data with more than 182 days complete in each year. This is effectively a 30-year record of service requirement, but allows for inclusion of some stations which routinely shut down during certain seasons. Small station moves, such as a move from one property to an adjacent property, may occur within a station history. However, larger moves, such as a station moving from downtown to the city airport, generally result in the commissioning of a new station identifier. This tool treats each of these histories as a different station. In this way, it does not thread the separate histories into one record for a city. Records Timescales are characterized in three ways. In order of increasing noteworthiness, they are Daily Records, Monthly Records and All Time Records. For a given station, Daily Records refers to the specific calendar day: (e.g., the value recorded on March 7th compared to every other March 7th). Monthly Records exceed all values observed within the specified month (e.g., the value recorded on March 7th compared to all values recorded in every March). All-Time Records exceed the record of all observations, for any date, in a station's period of record. The Date Range and Location features are used to define the time and location ranges which are of interest to the user. For example, selecting a date range of March 1, 2012 through March 15, 2012 will return a list of records broken or tied on those 15 days. The Location Category and Country menus allow the user to define the geographic extent of the records of interest. For example, selecting Oklahoma will narrow the returned list of records to those that occurred in the state of Oklahoma, USA. The number of records broken for several recent periods is summarized in the table and updated daily. Due to late-arriving data, the number of recent records is likely underrepresented in all categories, but the ratio of records (warm to cold, for example) should be a fairly strong estimate of a final outcome. There are many more precipitation stations than temperature stations, so the raw number of precipitation records will likely exceed the number of temperature records in most climatic situations.

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".

This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at Beacon Wind | Bureau of Ocean Energy Management (boem.gov) Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.

The backbone of CustomWeather's forecasting arm is our proven, high-resolution model, the CustomWeather 100 or 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 the model 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 precipitation amounts, and miles/kilometers 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/kilometers 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.

This Weather Forecast data is part of CustomWeather's comprehensive data offerings, covering the entire life cycle of weather - past, present, and future. The Weather Forecast data is archived back to 2012.

The CustomWeather 100 Weather Forecasts serve the following categories: Global Weather Data, Place Data, Precipitation Data, Rainfall Data, Surface Data, Storm Data, Agricultural Weather Data, Temperature Data, Weather, Weather Forecasts, Mobile App Data, Natural Disasters Data, and Wind Data.

This data set was collected by weather sensors deployed on the AIMS Weather Station site Coral Creek WS. Instrumentation was deployed for measuring Wind Direction from 16 Oct 1980 through to 30 Jul 1985, and the installation was located at/on Coral Creek Platform Historical Latitude:-18.2453 - Longitude:146.23. Instrumentation was deployed for measuring Wind Speed from 16 Oct 1980 through to 30 Jul 1985, and the installation was located at/on Coral Creek Platform Historical Latitude:-18.2453 - Longitude:146.23.

This data set was collected by weather sensors deployed on the AIMS Weather Station site Rib Reef. Instrumentation was deployed for measuring Wind Direction from 29 Feb 1980 through to 03 Dec 1985, …Show full descriptionThis data set was collected by weather sensors deployed on the AIMS Weather Station site Rib Reef. Instrumentation was deployed for measuring Wind Direction from 29 Feb 1980 through to 03 Dec 1985, and the installation was located at/on Rib Reef Platform Historical Latitude:-18.47774 - Longitude:146.87904. Instrumentation was deployed for measuring Wind Speed from 29 Feb 1980 through to 03 Dec 1985, and the installation was located at/on Rib Reef Platform Historical Latitude:-18.47774 - Longitude:146.87904.

Beacon Wind Current Mooring 2 (NE Corner) - Historical Data. This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at Beacon Wind | Bureau of Ocean Energy Management (boem.gov) Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.

This dataset contains observations to support the development of the Empire Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of New York. The Empire Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at Empire Wind | Bureau of Ocean Energy Management (boem.gov). Data were collected from two Floating LiDAR Buoys, one Wave/Met Buoy, and one Current Meter Mooring. This public dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.

The KNW (KNMI North Sea Wind) atlas is based on the ERA-Interim reanalyses dataset which captures more than 40 years (January 1979 - August 2019) of meteorological measurements and generates 3D wind (temperature, etc) fields consistent with these measurements and the laws of physics. This dataset is downscaled using the state-of-the-art weather forecasting model, HARMONIE with a horizontal grid of 2.5 km. The vertical profile of wind speed was calibrated against the 200 m tall Cabauw measurement mast to obtain a single wind shear correction coefficient which was applied throughout the whole dataset. The result is a high resolution dataset of more than 40 years: the KNW dataset.