Worldwide Hourly Historical Weather Data | Climate Data | Human Checked Weather Data starting in the mid 1900s
Verified Data Provider| # | station |
date |
HR |
temperature |
dewpoint |
rh |
6hr_max |
6hr_min |
24hr_max |
24hr_min |
precip |
6hr_precip |
24hr_precip |
wd |
ws |
wg |
solar_rad |
cc |
present_wx |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx |
| 2 | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx |
| 3 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx |
| 4 | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
| 5 | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx |
| 6 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
| 7 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx |
| 8 | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
| 9 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx |
| 10 | 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 |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
station
|
String | KATL | |
|
date
|
String | 11/30/2021 | |
|
HR
|
Integer | 18 | |
|
temperature
|
Integer | 55 | |
|
dewpoint
|
Integer | 39 | |
|
RH
|
Integer | 54 | |
|
6 hour max
|
Integer | 66 | |
|
6 hour min
|
Integer | 55 | |
|
24 hour max
|
Integer | 999999 | |
|
24 hour min
|
Integer | 999999 | |
|
Total Precip
|
Integer | 0 | |
|
precip_6hour
|
Integer | 0 | |
|
precip_24hour
|
Integer | 999999 | |
|
WD
|
Integer | 230 | |
|
WS
|
Integer | 5 | |
|
WG
|
Integer | 0 | |
|
Solar_Rad
|
Integer | 999999 | |
|
Cloud Cover
|
Integer | 70 | |
|
Present_Wx
|
String | RA |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
location
|
String | Atlanta | |
|
date
|
String | 01/01/2001 | |
|
hour
|
Integer | 05 | |
| Float | 45.55585 | Latitude | |
| Float | -135.254123 | Longitude | |
|
temperature
|
Float | 35.52 | |
|
wetbulb temperature
|
Float | 35.01 | |
|
dewpoint
|
Float | 32.52 | |
| Float | 12.5 | Wind Speed | |
|
wind gust
|
Float | 15.2 | |
|
wind direction
|
Integer | 150 | |
|
relative humidity
|
Integer | 75 | |
|
wind chill
|
Float | 35.50 | |
|
heat index
|
Float | 40.51 | |
|
precip_hourly
|
Float | 0.15 | |
|
precip_6hour
|
Float | 1.15 | |
|
precip_24hour
|
Float | 2.51 | |
|
solar_rad
|
Float | 951.5 | |
|
pressure
|
Float | 994.5 | |
|
altimeter
|
Float | 29.99 | |
|
evap
|
Float | 0.17 | |
|
pet
|
Float | 0.19 | |
|
cc
|
Integer | 70 | |
|
present_wx
|
String | +RASN | |
|
visibility
|
Float | 9.2 | |
|
max_temp_6hr
|
Float | 95.5 | |
|
min_temp_6hr
|
Float | 80.1 | |
|
max_temp_24hr
|
Float | 95.2 | |
|
min_temp_24hr
|
Float | 75.2 |
Description
Country Coverage
History
Volume
| 20,000 | Observation Locations |
| 20 | or more variable options |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License | Not available |
| Usage-based |
$150 / City |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s?
AWIS Weather Services houses, maintains, and constantly updates an extensive database full of Climate and Weather Data. We can offer Worldwide Historical Weather Data dating back to the early 1900s. Variables include daily Temperature, Wind Speed, Wind Direction, and many others.
What is Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s used for?
This product has 5 key use cases. AWIS Weather Services recommends using the data for Weather Forecasting, Weather Observation, Climate Analytics, Climate Change Analytics, and Weather Analytics. Global businesses and organizations buy Weather Data from AWIS Weather Services to fuel their analytics and enrichment.
Who can use Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Weather Data. Get in touch with AWIS Weather Services to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s go?
This product has 75 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 Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. AWIS Weather Services is headquartered in United States of America.
How much does Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s cost?
Pricing for Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s starts at USD150 per City. Connect with AWIS Weather Services to get a quote and arrange custom pricing models based on your data requirements.
How can I get Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s?
Businesses can buy Weather Data from AWIS Weather Services and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, AWIS Weather Services can deliver this product in .csv and .txt format.
What is the data quality of Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s?
AWIS Weather Services has reported that this product has the following quality and accuracy assurances: 100% quality checked. You can compare and assess the data quality of AWIS Weather Services using Datarade’s data marketplace. AWIS Weather Services 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 Who’s New on Datarade? June Edition.
What are similar products to Worldwide Hourly Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s?
This product has 3 related products. These alternatives include Worldwide Daily Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s, Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format, and CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s. You can compare the best Weather Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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