CustomWeather API | Weather Forecasts | Hourly And Daily | 85,000 Global Weather Forecast Points | Forecasts Archived Back To 2012
# | city location identifier (up to 9 alphanumeric characters) |
UTC Time (format hhMMDDYYYY) |
Local Time (format hhMMDDYYYY) |
day of the week - UTC time (Integer - 1 through 7; 1 = Sunday) |
day of the week - local time (Integer - 1 through 7; 1 = Sunday) |
daylight status (Character - 'D' for daytime icons; 'N' for nighttime icons) |
sky descriptor (Integer - see lookup) |
precipitation descriptor (Integer - see lookup) |
temperature descriptor (Integer - see lookup) |
additional air descriptor (optional) (Integer - see lookup) |
temperature (Floating Point - Celsius) |
wind direction (Integer - compass degrees; 0 - 359; 0 == North) |
humidity (Integer - percent) |
dew point (Floating Point - Celsius) |
comfort level (Floating Point - Celsius) |
visibility (Floating Point - kilometers) |
rainfall amount for last hour (Floating Point - centimeters) |
snowfall amount for last hour (Floating Point - centimeters) |
probability of precipitation for last hour - US Only (Integer - percent) |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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4 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
5 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
6 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
10 | 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 |
---|---|---|---|
city location identifier (up to 9 alphanumeric characters)
|
Integer | 12156 | |
UTC Time (format hhMMDDYYYY)
|
Integer | 1206012022 | |
Local Time (format hhMMDDYYYY)
|
Integer | 85464082 | |
day of the week - UTC time (Integer - 1 through 7; 1 = Sunday)
|
Integer | 4 | |
day of the week - local time (Integer - 1 through 7; 1 = Sunday)
|
Integer | 4 | |
daylight status (Character - 'D' for daytime icons; 'N' for nighttime icons)
|
String | D | |
sky descriptor (Integer - see lookup)
|
Integer | 3 | |
precipitation descriptor (Integer - see lookup)
|
String | * | |
temperature descriptor (Integer - see lookup)
|
Integer | 5 | |
additional air descriptor (optional) (Integer - see lookup)
|
String | * | |
temperature (Floating Point - Celsius)
|
Float | 11.3 | |
Float | 10.8 | Wind Speed | |
wind direction (Integer - compass degrees; 0 - 359; 0 == North)
|
Integer | 230 | |
humidity (Integer - percent)
|
Integer | 82 | |
dew point (Floating Point - Celsius)
|
Float | 8.2 | |
comfort level (Floating Point - Celsius)
|
Float | 9.98 | |
visibility (Floating Point - kilometers)
|
Float | 12.87 | |
rainfall amount for last hour (Floating Point - centimeters)
|
String | * | |
snowfall amount for last hour (Floating Point - centimeters)
|
String | * | |
probability of precipitation for last hour - US Only (Integer - percent)
|
Integer | 0 |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 26.34N 112.20W | Latitude-Longitude | |
Wellington
|
City Location |
Description
Country Coverage
Volume
85,000 | Global Weather Forecast Points |
Pricing
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Frequently asked questions
What is CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012?
CustomWeather runs a proven forecast model, the CustomWeather 100. The model is so-named as it is run at 100-m horizontal resolution. The CW100 delivers hourly and daily forecasts/alerts for 85,000+ global locations. This global weather data is available in 95 languages and archived back to 2012.
What is CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012 used for?
This product has 5 key use cases. CustomWeather recommends using the data for Location Intelligence, Data Science, Predictive Analytics, Weather Forecasting, and Weather Analytics. Global businesses and organizations buy Global Weather Data from CustomWeather to fuel their analytics and enrichment.
Who can use CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Global Weather Data. Get in touch with CustomWeather to see what their data can do for your business and find out which integrations they provide.
Which countries does CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012 cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. CustomWeather is headquartered in United States of America.
How much does CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012 cost?
Pricing information for CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012 is available by getting in contact with CustomWeather. Connect with CustomWeather to get a quote and arrange custom pricing models based on your data requirements.
How can I get CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012?
Businesses can buy Global Weather Data from CustomWeather and get the data via SFTP, Email, and REST API. Depending on your data requirements and subscription budget, CustomWeather can deliver this product in .json, .csv, and .xls format.
What is the data quality of CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012?
CustomWeather has reported that this product has the following quality and accuracy assurances: 100% Highest Possible Accuracy. You can compare and assess the data quality of CustomWeather using Datarade’s data marketplace. CustomWeather has received 7 reviews from clients. CustomWeather appears on selected Datarade top lists ranking the best data providers, including Best 4 Temperature APIs for Reliable Temperature Data, Best 7+ Historical Weather APIs for Reliable Weather Data, and June Provider Spotlight.
What are similar products to CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012?
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 Long Range Forecast - Back to 2014, and wetter.com data Storm warning data Severe Weather Warning data Custom Weather Alert Rainfall data Wind data. You can compare the best Global Weather Data providers and products via Datarade’s data marketplace and get the right data for your use case.