Weather Source: OnPoint Weather Forecast Ensembles - Potential Variances of Each Forecast

#	postal_code	country	time_init_utc	time_valid_utc	perturbation	temperature_air_2m_f	temperature_dewpoint_2m_f	pressure_mean_sea_level_mb	wind_speed_10m_mph	wind_direction_10m_deg	precipitation_in	snowfall_in
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx
2	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx
3	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx
4	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx
5	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
6	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx
7	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx
8	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx
9	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx
10	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx
...	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx

#	postal_code	country	time_init_utc	time_valid_utc	perturbation	temperature_air_2m_f	temperature_dewpoint_2m_f	pressure_mean_sea_level_mb	u_comp_10m_mph	v_comp_10m_mph	wind_speed_10m_mph	wind_direction_10m_deg	precipitation_in	snowfall_water_equivalent_in
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx
2	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx
3	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx
4	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx
5	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx
6	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx
7	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx
8	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx
9	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx
10	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx
...	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx

Avail. Formats

.json, .xml, and .csv

File

Coverage

248

Countries

[Sample] GEFS-short-forecast-postalcode-hour.csv

Attribute	Type	Example	Mapping
postal_code	Integer	10024	Postal Code
country	String	US	Latitude-Longitude
time_init_utc	DateTime	2022-11-22T00:00:00+00:00	Latitude-Longitude
time_valid_utc	DateTime	2022-11-22T03:00:00+00:00	Latitude-Longitude
perturbation	Float	0	Latitude-Longitude
temperature_air_2m_f	Float	0.41	Latitude-Longitude
temperature_dewpoint_2m_f	Float	24.24	Latitude-Longitude
pressure_mean_sea_level_mb	Float	1025.3	Latitude-Longitude
wind_speed_10m_mph	Float	14.52	Latitude-Longitude
wind_direction_10m_deg	Float	237	Latitude-Longitude
precipitation_in	Float	0.0	Latitude-Longitude
snowfall_in	Float	0.0	Latitude-Longitude

[Sample] ECMWFENS-short-forecast-postalcode-hour.csv

Attribute	Type	Example	Mapping
postal_code	Integer	10024	Postal Code
country	String	US	Latitude-Longitude
time_init_utc	DateTime	2022-11-22T00:00:00+00:00	Latitude-Longitude
time_valid_utc	DateTime	2022-11-22T00:00:00+00:00	Latitude-Longitude
perturbation	Integer	0	Latitude-Longitude
temperature_air_2m_f	Float	38.11	Latitude-Longitude
temperature_dewpoint_2m_f	Float	19.62	Latitude-Longitude
pressure_mean_sea_level_mb	Float	1025.1	Latitude-Longitude
u_comp_10m_mph	Float	8.67	Latitude-Longitude
v_comp_10m_mph	Float	10.57	Latitude-Longitude
wind_speed_10m_mph	Float	13.67	Latitude-Longitude
wind_direction_10m_deg	Integer	219	Latitude-Longitude
precipitation_in	Float	0.0	Latitude-Longitude
snowfall_water_equivalent_in	Float	0.0	Latitude-Longitude

All GFS and ECMWF forecast ensemble members (31 for GFS and 51 for ECMWF) in hourly format.

For each forecast run, Weather Source processes all of the forecast ensemble members (31 for GFS and 51 for ECMWF) in real-time and users have the ability to create business intelligence around the spread of the distributions of the ensembles to better understand the potential variances of each forecast which can be very useful for scenario planning but also understand the confidence level in the forecast skill score.

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.)

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What is Weather Source: OnPoint Weather Forecast Ensembles - Potential Variances of Each Forecast?

All GFS and ECMWF forecast ensemble members (31 for GFS and 51 for ECMWF) in hourly format.

What is Weather Source: OnPoint Weather Forecast Ensembles - Potential Variances of Each Forecast used for?

This product has 4 key use cases. Weather Source recommends using the data for Predictive Analytics, Weather Forecasting, Business Intelligence (BI), and Weather Analytics. Global businesses and organizations buy Weather Data from Weather Source to fuel their analytics and enrichment.

Who can use Weather Source: OnPoint Weather Forecast Ensembles - Potential Variances of Each Forecast?

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 Forecast Ensembles - Potential Variances of Each Forecast 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 Forecast Ensembles - Potential Variances of Each Forecast cost?

Pricing information for Weather Source: OnPoint Weather Forecast Ensembles - Potential Variances of Each Forecast 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.

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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 Forecast Ensembles - Potential Variances of Each Forecast?

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 Forecast Ensembles - Potential Variances of Each Forecast?

This product has 3 related products. These alternatives include Weather Source: OnPoint Weather Historical ECMWF Short/Mid Range Forecast - Back to 2017, CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012, and Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country. 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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Weather Source: OnPoint Weather Forecast Ensembles - Potential Variances of Each Forecast

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Weather Source: OnPoint Weather Forecast Ensembles - Potential Variances of Each Forecast

Data Dictionary

Description

Country Coverage

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Products

Frequently asked questions

Weather Source Weather & Climate Technologies for Business

Trusted by

Weather Source
Weather & Climate Technologies for Business