Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015
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Verified Data Provider
Verified Data Provider| # | time_init_utc |
date_valid_std |
doy_std |
min_temperature_air_2m_f |
avg_temperature_air_2m_f |
max_temperature_air_2m_f |
min_temperature_wetbulb_2m_f |
avg_temperature_wetbulb_2m_f |
max_temperature_wetbulb_2m_f |
min_temperature_dewpoint_2m_f |
avg_temperature_dewpoint_2m_f |
max_temperature_dewpoint_2m_f |
min_temperature_feelslike_2m_f |
avg_temperature_feelslike_2m_f |
max_temperature_feelslike_2m_f |
min_temperature_windchill_2m_f |
avg_temperature_windchill_2m_f |
max_temperature_windchill_2m_f |
min_temperature_heatindex_2m_f |
avg_temperature_heatindex_2m_f |
max_temperature_heatindex_2m_f |
min_humidity_relative_2m_pct |
avg_humidity_relative_2m_pct |
max_humidity_relative_2m_pct |
min_humidity_specific_2m_gpkg |
avg_humidity_specific_2m_gpkg |
max_humidity_specific_2m_gpkg |
min_pressure_2m_mb |
avg_pressure_2m_mb |
max_pressure_2m_mb |
min_pressure_mean_sea_level_mb |
avg_pressure_mean_sea_level_mb |
max_pressure_mean_sea_level_mb |
avg_wind_direction_10m_deg |
avg_wind_direction_80m_deg |
avg_wind_direction_100m_deg |
tot_precipitation_in |
tot_snowfall_in |
min_cloud_cover_tot_pct |
avg_cloud_cover_tot_pct |
max_cloud_cover_tot_pct |
min_radiation_solar_total_wpm2 |
avg_radiation_solar_total_wpm2 |
max_radiation_solar_total_wpm2 |
tot_radiation_solar_total_wpm2 |
probability_of_precipitation_pct |
probability_of_snow_pct |
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Avail. Formats
.json, .xml, and .csv
File
Coverage
248
Countries
Data Dictionary
[Sample] GFS-historyforecast-postalcode-day.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | WC2N 5DN | Postal Code | |
| String | GB | Country Name | |
|
time_init_utc
|
String | 1/1/2021 0:00 | |
|
date_valid_std
|
String | 12/31/2020 | |
|
doy_std
|
Integer | 366 | |
|
min_temperature_air_2m_f
|
Integer | 32 | |
|
avg_temperature_air_2m_f
|
Integer | 32 | |
|
max_temperature_air_2m_f
|
Integer | 32 | |
|
min_temperature_wetbulb_2m_f
|
Integer | 31 | |
|
avg_temperature_wetbulb_2m_f
|
Integer | 31 | |
|
max_temperature_wetbulb_2m_f
|
Integer | 31 | |
|
min_temperature_dewpoint_2m_f
|
Float | 29.3 | |
|
avg_temperature_dewpoint_2m_f
|
Float | 29.3 | |
|
max_temperature_dewpoint_2m_f
|
Float | 29.3 | |
|
min_temperature_feelslike_2m_f
|
Float | 28.5 | |
|
avg_temperature_feelslike_2m_f
|
Float | 28.5 | |
|
max_temperature_feelslike_2m_f
|
Float | 28.5 | |
|
min_temperature_windchill_2m_f
|
Float | 28.5 | |
|
avg_temperature_windchill_2m_f
|
Float | 28.5 | |
|
max_temperature_windchill_2m_f
|
Float | 28.5 | |
|
min_temperature_heatindex_2m_f
|
Integer | 32 | |
|
avg_temperature_heatindex_2m_f
|
Integer | 32 | |
|
max_temperature_heatindex_2m_f
|
Integer | 32 | |
|
min_humidity_relative_2m_pct
|
Float | 89.7 | |
|
avg_humidity_relative_2m_pct
|
Float | 89.7 | |
|
max_humidity_relative_2m_pct
|
Float | 89.7 | |
|
min_humidity_specific_2m_gpkg
|
Float | 3.4 | |
|
avg_humidity_specific_2m_gpkg
|
Float | 3.4 | |
|
max_humidity_specific_2m_gpkg
|
Float | 3.4 | |
|
min_pressure_2m_mb
|
Float | 1001.8 | |
|
avg_pressure_2m_mb
|
Float | 1001.8 | |
|
max_pressure_2m_mb
|
Float | 1001.8 | |
|
min_pressure_mean_sea_level_mb
|
Float | 1008.6 | |
|
avg_pressure_mean_sea_level_mb
|
Float | 1008.6 | |
|
max_pressure_mean_sea_level_mb
|
Float | 1008.6 | |
| Float | 3.6 | Wind Speed | |
| Float | 3.6 | Wind Speed | |
| Float | 3.6 | Wind Speed | |
|
avg_wind_direction_10m_deg
|
Integer | 321 | |
| Float | 7.9 | Wind Speed | |
| Float | 7.9 | Wind Speed | |
| Float | 7.9 | Wind Speed | |
|
avg_wind_direction_80m_deg
|
Integer | 331 | |
| Float | 8.8 | Wind Speed | |
| Float | 8.8 | Wind Speed | |
| Float | 8.8 | Wind Speed | |
|
avg_wind_direction_100m_deg
|
Integer | 334 | |
|
tot_precipitation_in
|
Integer | 0 | |
|
tot_snowfall_in
|
Integer | 0 | |
|
min_cloud_cover_tot_pct
|
String | \N | |
|
avg_cloud_cover_tot_pct
|
String | \N | |
|
max_cloud_cover_tot_pct
|
String | \N | |
|
min_radiation_solar_total_wpm2
|
String | \N | |
|
avg_radiation_solar_total_wpm2
|
String | \N | |
|
max_radiation_solar_total_wpm2
|
String | \N | |
|
tot_radiation_solar_total_wpm2
|
String | \N | |
|
probability_of_precipitation_pct
|
Integer | 0 | |
|
probability_of_snow_pct
|
Integer | 0 |
Description
Weather Source provides historical GFS forecast data in hourly and daily format.
OnPoint Weather Historical GFS Forecast data provides hourly and daily weather values in pristine format back to January 2015. This database is a stable source of historical forecast information because once the data is archived no further changes or edits are made.
Weather Source provides the 00z and 12z forecast runs.
Country Coverage
Africa
(58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia
(51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe
(51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America
(13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania
(25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other
(8)
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America
(42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)
Pricing
Free sample available
5% discount if you buy via Datarade
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Available |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Delivery
Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Frequency
hourly
daily
monthly
quarterly
yearly
Format
.json
.xml
.csv
.xls
Use Cases
Categories
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20 years of historical data
Historical weather data for any location worldwide and observed hourly data for the requested day.
Frequently asked questions
What is Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015?
Weather Source provides historical GFS forecast data in hourly and daily format.
What is Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015 used for?
This product has 4 key use cases. Weather Source recommends using the data for Predictive Analytics, Business Intelligence (BI), Data Modeling, and Analytics. Global businesses and organizations buy Weather Data from Weather Source to fuel their analytics and enrichment.
Who can use Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Weather Data. Get in touch with Weather Source to see what their data can do for your business and find out which integrations they provide.
Which countries does Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015 cover?
This product includes data covering 248 countries like USA, China, Japan, Germany, and India. Weather Source is headquartered in United States of America.
How much does Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015 cost?
Pricing information for Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015 is available by getting in contact with Weather Source. Connect with Weather Source to get a quote and arrange custom pricing models based on your data requirements.
How can I get Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015?
Businesses can buy Weather Data from Weather Source and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Weather Source can deliver this product in .json, .xml, .csv, and .xls format.
What is the data quality of Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015?
You can compare and assess the data quality of Weather Source using Datarade’s data marketplace. Weather Source 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 Weather Source: OnPoint Weather Historical GFS Forecast - Back to 2015?
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 Global Weather Data Weather Data API Historical Weather Data Real-Time Weather Data Free Data Sample Available. You can compare the best Weather Data providers and products via Datarade’s data marketplace and get the right data for your use case.
