Global Weather Data - Historical | Real-Time | Forecast | Climatology
Verified Data Provider|
time
|
cloudCover
|
dewPoint
|
humidity
|
pressure
|
precipIntensity
|
surfacePressure
|
temperature
|
visibility
|
windGust
|
windSpeed
|
windBearing
|
ozone
|
uvIndex
|
apparentTemperature
|
icon
|
summary
|
updatedAt
|
lat
|
lng
|
country_code
|
timezone
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx |
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| Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
| xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
| xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
| Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx |
| Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
| Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
time
|
Integer | 1751274000 | |
|
cloudCover
|
Integer | 1 | |
|
dewPoint
|
Float | 70.68 | |
|
humidity
|
Integer | 80 | |
|
pressure
|
Integer | 1015 | |
|
precipIntensity
|
Integer | 0 | |
|
surfacePressure
|
Integer | 1010 | |
|
temperature
|
Integer | 77 | |
|
visibility
|
Integer | 10 | |
|
windGust
|
Float | 2.59 | |
|
windSpeed
|
Float | 3.35 | |
|
windBearing
|
Integer | 176 | |
|
ozone
|
Float | 309.59 | |
|
uvIndex
|
Integer | 0 | |
|
apparentTemperature
|
Integer | 77 | |
|
icon
|
String | cloudy | |
|
summary
|
String | Cloudy skies. Temperatures will feel warm. Higher humidit... | |
|
updatedAt
|
DateTime | 2025-06-30T09:00:00+00:00 | |
|
lat
|
Float | 38.89 | |
|
lng
|
Float | -77.03 | |
|
country_code
|
String | US | |
|
timezone
|
String | America/New_York |
Description
Country Coverage
History
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
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WeatherDataAI | Multi-Point Historical Weather Data | Global Coverage
Global Weather Data | Real-time & Historical | US and EU Sensor Coverage
Frequently asked questions
What is Global Weather Data - Historical Real-Time Forecast Climatology?
Global Weather Data - Leveraging the best global weather models including ECMWF, GFS and HRRR and augmenting with satellite, radar and observation stations, Ambee’s proprietary weather data is available for any lat / lon or geographically bounded area such as ZIP or Postal Code, DMA, or MSA.
What is Global Weather Data - Historical Real-Time Forecast Climatology used for?
This product has 5 key use cases. Ambee recommends using the data for Demand Forecasting, Retail Intelligence, Marketing Strategy, Operational Intelligence, and Manufacturing. Global businesses and organizations buy Historical Weather Data from Ambee to fuel their analytics and enrichment.
Who can use Global Weather Data - Historical Real-Time Forecast Climatology?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Historical Weather Data. Get in touch with Ambee to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Global Weather Data - Historical Real-Time Forecast Climatology go?
This product has 30 years of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Global Weather Data - Historical Real-Time Forecast Climatology cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Ambee is headquartered in India.
How much does Global Weather Data - Historical Real-Time Forecast Climatology cost?
Pricing information for Global Weather Data - Historical Real-Time Forecast Climatology is available by getting in contact with Ambee. Connect with Ambee to get a quote and arrange custom pricing models based on your data requirements.
How can I get Global Weather Data - Historical Real-Time Forecast Climatology?
Businesses can buy Historical Weather Data from Ambee and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, Compressed File, Snowflake Share, Google BigQuery, Google Cloud Storage, Azure Blob Storage, and Databricks Delta Share. Depending on your data requirements and subscription budget, Ambee can deliver this product in .csv, .geojson, .json, .parquet, .tiff, .txt, .xls, and .xml format.
What is the data quality of Global Weather Data - Historical Real-Time Forecast Climatology?
You can compare and assess the data quality of Ambee using Datarade’s data marketplace.
What are similar products to Global Weather Data - Historical Real-Time Forecast Climatology?
This product has 3 related products. These alternatives include CustomWeather Historical Weather Forecasts Historical Weather Data Forecasts Archived Back To 2012 85,000 Global Weather Data Locations, Weather Source: OnPoint Weather Historical ECMWF Short/Mid Range Forecast - Back to 2017, and WeatherDataAI Multi-Point Historical Weather Data Global Coverage. You can compare the best Historical Weather Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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