20 Years of Historical Weather Data for Major European Cities
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Verified Data Provider| # | time |
dewpoint_2meter |
temperature_2meter |
cape_index |
mean_sea_level_pressure |
snow_depth |
snowfall |
surface_pressure |
solar_radiation_surface |
total_cloud_cover |
total_precipitation |
relative_humidity |
wind_speed_10m |
wind_speed_100m |
wind_direction_10m |
wind_direction_100m |
wind_direction_text_10m |
wind_direction_text_100m |
windchill |
uv_index |
precipitation_type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 2 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 3 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
| 5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
| 6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| 7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
| 8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
| 10 | 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 | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
time
|
DateTime | 2003-01-01T00:00:00+00:00 | |
|
dewpoint_2meter
|
Float | -4.2 | |
|
temperature_2meter
|
Float | -1.3 | |
|
cape_index
|
Float | 0.0 | |
|
mean_sea_level_pressure
|
Float | 1014.1 | |
|
snow_depth
|
Float | 0.0 | |
|
snowfall
|
Float | 0.0 | |
|
surface_pressure
|
Float | 1014.3 | |
|
solar_radiation_surface
|
Float | 0.0 | |
|
total_cloud_cover
|
Float | 84.0 | |
|
total_precipitation
|
Float | 0.0 | |
|
relative_humidity
|
Float | 81.0 | |
|
wind_speed_10m
|
Float | 2.5 | |
|
wind_speed_100m
|
Float | 3.8 | |
|
wind_direction_10m
|
Float | 306.0 | |
|
wind_direction_100m
|
Float | 312.0 | |
|
wind_direction_text_10m
|
String | NW | |
|
wind_direction_text_100m
|
String | NW | |
|
windchill
|
Float | -4.6 | |
|
uv_index
|
Float | 0.0 | |
|
precipitation_type
|
String | snow |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
time
|
DateTime | 2003-01-01 00:00 | |
|
dewpoint_2meter
|
Float | 10.1 | |
|
temperature_2meter
|
Float | 20.2 | |
|
cape_index
|
Integer | 230 | |
|
mean_sea_level_pressure
|
Float | 998.2 | |
|
snow_depth
|
Float | 2.0 | |
|
snowfall
|
Float | 0.2 | |
|
surface_pressure
|
Float | 952.3 | |
|
solar_radiation_surface
|
Integer | 834 | |
|
total_cloud_cover
|
Integer | 98 | |
|
total_precipitation
|
Float | 0.3 | |
|
relative_humidity
|
Integer | 78 | |
|
wind_speed_10m
|
Float | 5.2 | |
|
wind_speed_100m
|
Float | 10.6 | |
|
wind_direction_10m
|
Float | 246 | |
|
wind_direction_100m
|
Float | 287 | |
|
wind_direction_10m_text
|
String | NW | |
|
wind_direction_100m_text
|
String | N | |
|
Windchill
|
Float | -2.5 | |
|
uv_index
|
Integer | 8 | |
|
precipitation_type
|
String | rain |
Description
Geography
History
Volume
| 175,000 | rows |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$99 / purchase |
| Monthly License | Not available |
| Yearly License | Not available |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
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Frequently asked questions
What is 20 Years of Historical Weather Data for Major European Cities?
Hourly historical weather data between 2003 and 2022 Includes solar radiation data and UV index Provides information on standard weather measurements such as air pressure, temperature, precipitation, and wind speed Offers insights into how weather has impacted your business
What is 20 Years of Historical Weather Data for Major European Cities used for?
This product has 4 key use cases. Wetter.com recommends using the data for Demand Forecasting, Ecommerce Analysis, Analytics, and Sales Data Enrichment. Global businesses and organizations buy Historical Weather Data from Wetter.com to fuel their analytics and enrichment.
Who can use 20 Years of Historical Weather Data for Major European Cities?
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 Wetter.com to see what their data can do for your business and find out which integrations they provide.
How far back does the data in 20 Years of Historical Weather Data for Major European Cities go?
This Tabular Data has 20 years of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does 20 Years of Historical Weather Data for Major European Cities cover?
This product includes data covering 48 countries like Germany, United Kingdom, France, Italy, and Russia. Wetter.com is headquartered in Germany.
How much does 20 Years of Historical Weather Data for Major European Cities cost?
Pricing for 20 Years of Historical Weather Data for Major European Cities starts at USD99 per purchase. Connect with Wetter.com to get a quote and arrange custom pricing models based on your data requirements.
How can I get 20 Years of Historical Weather Data for Major European Cities?
Businesses can buy Historical Weather Data from Wetter.com and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, Wetter.com can deliver this product in .csv and .txt format.
What is the data quality of 20 Years of Historical Weather Data for Major European Cities?
Wetter.com has reported that this product has the following quality and accuracy assurances: 100% match rate. You can compare and assess the data quality of Wetter.com using Datarade’s data marketplace.
What are similar products to 20 Years of Historical Weather Data for Major European Cities?
This Tabular Data 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 GFS Forecast - Back to 2015, and Historical Weather Data for BRAZIL 10 years of weather data multiple variables Any City in BRAZIL. 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.
