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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Volume

8.5K

Global Weather Stations

Data Quality

100%

Accurate Data

Avail. Formats

.json, .xml, and .csv

File

Coverage

249

Countries

Product Attributes

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
wind speed	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

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.

CustomWeather houses one of the world's most comprehensive troves of Historical Weather Data. This climate data is sourced directly from 8,500 global weather stations. The global weather data is used in many verticals including Agriculture, Energy, Event Planning, Food and Grocery Planning, Oil and Gas, Supply Chains, Climate Data Studies, Wind Power Studies, and research on Natural Disasters. The Historical Climate Data is part of CustomWeather's trove of historical, real-time, and forecast data sets covering the entire life cycle of weather - past, present, and future. The Historical Weather data includes information on Places Data, Precipitation Data, Rainfall Data, Severe Weather Data, Storm Data, Temperature Data, and Wind Data. The hourly Historical Weather Data is available directly through the CustomWeather API for the past 365 days. We send over files for the hourly data going back in time more than the past year. The daily Historical Weather Data is also available directly from the CustomWeather API, in yearly call increments, dating back many years. Hourly Climate Data: Normalized values can be delivered for various time periods. Fields include: daylight status, sky descriptor, precipitation descriptor, temperature, wind speed, wind direction, wind gusts, humidity, dew point, barometric tendency, sea level pressure, sky conditions, precipitation totals for various time periods. Ongoing Hourly Climate Updates Updated daily before 7am PST, this file includes the hourly observed data values for the past 3 days in the same format as the hourly climate data file. The file contains 3 days of data to help capture any missing data that becomes available during the 3 day period. On-going Daily Summary File Updated each morning, this file contains the daily summary of the previous days data in the same file format as Climate file. On-going Year-to-date Daily Summary File Updated 3 times per week, this product contains a year to date summary of the official values for each historical data location. The purpose of this file is to capture any data that was previously not available that has become available after the fact. For example, data that was not delivered due to a communication error at the reporting station that is later gathered and made available. This product will run through January and February of the following year to capture any delayed data over that period for the previous year. Daily Climate Data Daily climate records go back to the late 1940s for some locations with our standard product sets being 10, 20 or 30 years of historical data. Normalized values can be delivered across each of these periods. Fields include: station id, valid date time, maximum temperature, minimum temperature, average temperature, heating degree days, cooling degree days, precipitation, average relative humidity, average wind speed, average dew point, average visibility, average sea level pressure. For non-weather stations, CustomWeather houses robust, satellite-derived Historical Climate Data sets including CFSR, NMME, and ERA-5. In essence we can deliver hourly and daily Climate Data for any location on earth at high resolution with data available going back many years.

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 (9)

Antarctica

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.)

8,500

Global Weather Stations

License	Starts at
One-off purchase	$250 / purchase
Monthly License	Not available
Yearly License	Not available
Usage-based	Not available

Request detailed pricing

Self-reported by the provider

100%

Accurate Data

Methods

Frequency

Format

Weather Observation

Climate Analytics

Climate Change Analytics

Risk Prediction

Supply Chain Analytics

Climate Data Historical Weather Data Global Weather Data Rainfall Data Temperature Data

85K Global Weather Forecast Points

100% Highest Possible Accuracy

249 countries covered

CustomWeather runs a proven forecast model, the CustomWeather 100. The model is run at 100-m horizontal resolution! Historical Weather Forecasts - hourly a...

100% gap-free and error corrected

248 countries covered

OnPoint Climatology is the statistical representation of weather over time and Weather Source possesses the most accurate and robust Climatology Data on the ...

249 countries covered

20 years of historical data

Historical weather data for any location worldwide and observed hourly data for the requested day.

100M Weather Data Records Available

99.99% Accuracy in Weather Data

63 countries covered

Access comprehensive global weather data with ease. From real-time updates to historical trends, APISCRAPY provides insights into temperature, rainfall, win...

What is CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s?

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, Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format, and Historical weather data API - Meteosource. You can compare the best Climate Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$250 / purchase

License	Starts at
One-off purchase	$250 / purchase
Monthly License	Not available
Yearly License	Not available
Usage-based	Not available

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7h Avg. response time

100% Response rate

CustomWeather API | Historical Weather Data | Climate Data | Hourly And Daily | 8,500 Global Weather Stations | Archived Back To The 1940s

Data Dictionary

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CustomWeather
Comprehensive historical, real-time, and forecast weather data in 95 languages.

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CustomWeather API | Historical Weather Data | Climate Data | Hourly And Daily | 8,500 Global Weather Stations | Archived Back To The 1940s

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

CustomWeather Comprehensive historical, real-time, and forecast weather data in 95 languages.

Trusted by

CustomWeather
Comprehensive historical, real-time, and forecast weather data in 95 languages.