CustomWeather API | Historical Weather Data | Climate Data | Hourly And Daily | 8,500 Global Weather Stations | Archived Back To The 1940s
# | city location identifier (up to 9 alphanumeric characters) |
observation time in UTC (String as YYYYMMDDhhmm) |
observation time in LST (Local Standard Time) (String as YYYYMMDDhhmm) |
observation time in local time (String as YYYYMMDDhhmm) |
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 speed (Floating Point - knots.) |
wind direction (Integer - compass degrees; 0 - 359; 0 == North) |
wind gusts [optional] (Floating Point - knots.) |
humidity (Integer - percent) |
dew point (Floating Point - Celsius) |
comfort level (Floating Point - Celsius) |
sea level pressure (Floating Point - millibars) |
barometric tendency ('S' - Steady; 'F' - Falling; 'R' - Rising) |
visibility (Floating Point - miles) |
sky conditions (C-lear;F-ew;S-cattered;B-roken;O-vercast; X-obscured) |
minimum cloud base (Floating Point - meters) |
maximum cloud base (Floating Point - meters) |
weather type (+FC = tornado/waterspout; FC = funnel cloud; TS = thunderstorm; GR = hail; RA = rain; DZ = drizzle; SN = snow; SG = snow grains; GS = small hail &/or snow pellets; PE = ice pellets; IC = crystals; FG+ = heavy fog less than 0.25 miles vis; FG = fog; BR = mist; UP = unknown precip.; HZ = haze; FU = smoke; VA = volcanic ash; DU = widespread dust; DS = duststorm; PO = sand/dust whirls; SA = sand; SS = sandstorm; PY = spray; SQ = squall) (DR - low drifting; SH - shower; FZ - freezing; MI - shallow; PR - partial; BC - patches; BL - blowing; VC - vicinity; - LIGHT; + HEAVY; 'NO SIGN' - moderate) |
hourly precip. [optional] (Floating Point - centimeters) |
3 hour precipitation [optional] (Floating Point - centimeters) |
6 hour precipitation [optional] (Floating Point - centimeters) |
12 hour precipitation [optional] (Floating Point - centimeters) |
24 hour precipitation [optional] (Floating Point - centimeters) |
24-hr Maximum temperature [optional] (Floating Point - Celsius) |
6 hour maximum temperature [optional] (Floating Point - Celsius) |
24-hr Minimum temperature [optional] (Floating Point - Celsius) |
6 hour minimum temperature [optional] (Floating Point - Celsius) |
Snow cover [optional] (Floating Point - centimeters) |
Solar radiation [optional] (Integer - minutes) |
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5 | 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 |
6 | 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 |
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9 | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx |
10 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
city location identifier
|
Text | KSFO | |
observation time in UTC
|
Text | 201909080553 | |
observation time in LST
|
Text | 201909080553 | |
observation time in local time
|
Text | 201909080553 | |
daylight status
|
Text | N | |
sky descriptor
|
Integer | 1 | |
precipitation descriptor
|
Integer | 1 | |
temperature descriptor
|
Integer | 1 | |
additional air descriptor
|
Integer | 1 | |
temperature
|
Float | 27.22 | |
Float | 7.41 | Wind Speed | |
wind direction
|
Integer | 180 | |
wind gusts
|
Float | 22.22 | |
humidity
|
Integer | 94 | |
dew point
|
Float | 16.14 | |
comfort level
|
Float | 20.78 | |
sea level pressure
|
Float | 1012.34 | |
barometric tendency
|
Text | F | |
visibility
|
Float | 16.09 | |
sky conditions
|
Text | C | |
minimum cloud base
|
Float | 1002.83 | |
maximum cloud base
|
Float | 3196.72 | |
weather type
|
Text | RA | |
hourly precipitation
|
Float | 0.89 | |
3 hour precipitation
|
Float | 0.89 | |
6 hour precipitation
|
Float | 0.89 | |
12 hour precipitation
|
Float | 0.89 | |
24 hour precipitation
|
Float | 0.89 | |
24-hr Maximum temperature
|
Float | 22.47 | |
6 hour maximum temperature
|
Float | 10.46 | |
24-hr Minimum temperature
|
Float | 6.19 | |
6 hour minimum temperature
|
Float | 4.32 | |
Snow cover
|
Float | 4.87 | |
Solar radiation
|
Float | 65.17 |
Description
Country Coverage
Volume
8,500 | Global Weather Stations |
Pricing
License | Starts at |
---|---|
One-off purchase |
$250 / purchase |
Monthly License | Not available |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
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Frequently asked questions
What is CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s?
CustomWeather houses hourly and daily climate data for 8,500 global weather stations. This archived weather data extends back to the 1940s. The historical weather data sets include all key variables - temperature, wind speed/direction, humidity, dewpoint, sea level pressure, precipitation, etc.
What is CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s used for?
This product has 5 key use cases. CustomWeather recommends using the data for Weather Observation, Climate Analytics, Climate Change Analytics, Risk Prediction, and Supply Chain Analytics. Global businesses and organizations buy Climate Data from CustomWeather to fuel their analytics and enrichment.
Who can use CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s?
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.
Which countries does CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s 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 Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s cost?
Pricing for CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s starts at USD250 per purchase. Connect with CustomWeather to get a quote and arrange custom pricing models based on your data requirements.
How can I get CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s?
Businesses can buy Climate Data from CustomWeather and get the data via S3 Bucket, SFTP, Email, 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 API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s?
CustomWeather has reported that this product has the following quality and accuracy assurances: 100% Accurate Data. 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 Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s?
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, Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s, and Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format. You can compare the best Climate Data providers and products via Datarade’s data marketplace and get the right data for your use case.