CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage
| # | 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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| 3 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| 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 |
Description
Country Coverage
History
Volume
| 85,000 | records |
Pricing
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Frequently asked questions
What is CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage?
CustomWeather forecasts for 85,000+ global locations. Hourly and extended long-range forecasts available in any one of 95 languages.
What is CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage used for?
This product has 4 key use cases. CustomWeather recommends using the data for Earth Observation, Asset Management, Supply Chain Management, and Supply Chain Analytics. Global businesses and organizations buy Climate Data from CustomWeather to fuel their analytics and enrichment.
Who can use CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Climate Data. Get in touch with CustomWeather to see what their data can do for your business and find out which integrations they provide.
How far back does the data in CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage go?
This product has 40 years of historical coverage. It can be delivered on a hourly, daily, weekly, and real-time basis.
Which countries does CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage cover?
This product includes data covering 236 countries like China, Japan, Germany, India, and UK. CustomWeather is headquartered in United States of America.
How much does CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage cost?
Pricing information for CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage 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 Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage?
Businesses can buy Climate Data from CustomWeather and get the data via S3 Bucket, SFTP, and REST API. Depending on your data requirements and subscription budget, CustomWeather can deliver this product in .json, .xml, and .csv format.
What is the data quality of CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage?
CustomWeather has reported that this product has the following quality and accuracy assurances: 100% %. 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 7+ Historical Weather APIs for Reliable Weather Data, June Provider Spotlight, and Best 4 Temperature APIs for Reliable Temperature Data.
What are similar products to CustomWeather Rainfall API: Rainfall Forecast and Historical Weather Data with Global Coverage?
This product has 3 related products. These alternatives include CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s, Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015, and 5 Years Historical Weather Data for Europe Per Zip Code Temperature Data Rainfall Data Climate Data Wind Data. You can compare the best Climate Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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