CustomWeather

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CustomWeather Data Products: APIs & Datasets

CustomWeather Live Earthquake Reporting

Earthquake Reports Features a summary of all significant earthquake activity including earthquake magnitude, depth, and location. Reports are sent out as they occur.
Country
USA
China
Japan
+ 246 others
History2 weeks of historical data
Use CaseData Science
Starts at
$150 / month
Free sample available
Get Sample View Product

About CustomWeather

CustomWeather in a Nutshell

Hyperlocal, high-resolution forecasts up to 100m. Historical data, maps, forecasts, tracking & alerts. Global coverage.

Top companies from around the world rely on the accuracy and timeliness of CustomWeather’s forecasts to support business decisions. CustomWeather offers exclusive, customized solutions with boutique-level customer service for utilities, media, business, and government institutions that seek only the highest quality data and services. CustomWeather’s pinpoint weather data, including many lesser-known and unique variables, for millions of locations worldwide, in 200+ countries and in over 85 languages, is an unmatched weather service for forward-thinking enterprises. In addition to real-time and forecasted weather data, CustomWeather maintains a unique and powerful historical data trove dating back 50+ years that empowers clients to train their own internal AI models for business forecasting and analytics.

Headquarter
United States of America

Data Offering

Hyperlocal, high-resolution forecasts up to 100m. Historical data, maps, radar, satellite, and short-and long-range forecasts, tracking & alerts. Severe weather alerts and tropical storm tracking. Global coverage.

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Pricing

  • One-off purchase
  • Monthly license
  • Yearly license
  • Usage-based

Use Cases

Insurance: Help insurance companies mitigate their overall risk. Enable insurance companies to evaluate weather-related claims and flag suspicious claims. Historical data can be used by event planners to better understand the potential weather risks for outdoor events. Asset monitoring.

Agriculture: Climate change is largely irreversible over the short to medium term and agriculture is the industry most affected. Use historical precipitation and temperature data over defined periods as valuable inputs for future predictions based on AI algorithms. Track changes in temperature over weeks, months, and years.

Retail: Retailers can use historic weather data to forecast supply and demand for specific locations and to determine best marketing and manning practices. Weather data to calculate the weather’s effects on store traffic and seasonal inventory levels. Historic data can be used to understand how weather has impacted critical business processes. Data can also be used to gain a better understanding of unusual spikes or drops in customer demand.

Construction: Historic wind, temperature, precipitation, and lightning data can be used to determine future project sites and to select equipment for the build. Identify weather risks for projects during the planning stage. Data can be used as an aid in determining project costs, best time frames for building, project manning, and scheduling. Minimize price risk.

Transportation: Improve decision making by using historical weather data to gauge future transport timing.

Energy: Use historical weather information as an input to model best people and resource placement in advance of impactful weather. Building operations managers can use historic weather data to gauge future energy usage and to tune and control energy use

Trading: Use historical weather data to help determine when to buy or sell. Identify where investments are going.

Show 18 more

Geo 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, Province of China
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.)

Data Sources & Collection

CustomWeather utilizes extremely localized terrain and transpiration data. We work with large networks of local weather stations including the MADIS network of cooperative weather stations. CustomWeather runs a proprietary high resolution forecast model, the USL model, at 100-meter resolution worldwide. The USL model is initialized off an ensemble of NWP models including the GFS, NAM, HRRR, SREF, Gridded MOS, GDPS, and WRF.

Key Differentiators

CustomWeather provides weather data in over 85 languages. Our historic data is the most comprehensive and includes data dating back further into the past than other providers. We are the only weather data provider with a Cloud Weather Service. This allows our users to make very specific request for data, including uncommon and harder to find variables, for dates back in time, for any point on the globe.

Data Privacy

CCPA compliant
GDPR compliant

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Frequently asked questions about CustomWeather

What does CustomWeather do?

We provide industry-leading weather solutions to a wide range of industries that value quality, customer service, and data accuracy. As a leader in technology, CustomWeather is well aware of the latest industry trends and requirements. Our data is available in 95 languages.

What kind of data does CustomWeather have?

AI & ML Training Data, Atmosphere Data, Geological Data, Global Weather Data, and 13 others

What data does CustomWeather offer?

Hyperlocal, high-resolution forecasts up to 100m. Historical data, maps, radar, satellite, and short-and long-range forecasts, tracking & alerts. Severe weather alerts and tropical storm tracking. Global coverage.

How does CustomWeather collect data?

CustomWeather utilizes extremely localized terrain and transpiration data. We work with large networks of local weather stations including the MADIS network of cooperative weather stations. CustomWeather runs a proprietary high resolution forecast model, the USL model, at 100-meter resolution worldwide. The USL model is initialized off an ensemble of NWP models including the GFS, NAM, HRRR, SREF, Gridded MOS, GDPS, and WRF.

What are the best use cases for CustomWeather’s data?

Insurance: Help insurance companies mitigate their overall risk. Enable insurance companies to evaluate weather-related claims and flag suspicious claims. Historical data can be used by event planners to better understand the potential weather risks for outdoor events. Asset monitoring. Agriculture: Climate change is largely irreversible over the short to medium term and agriculture is the industry most affected. Use historical precipitation and temperature data over defined periods as valuable inputs for future predictions based on AI algorithms. Track changes in temperature over weeks, months, and years. Retail: Retailers can use historic weather data to forecast supply and demand for specific locations and to determine best marketing and manning practices. Weather data to calculate the weather’s effects on store traffic and seasonal inventory levels. Historic data can be used to understand how weather has impacted critical business processes. Data can also be used to gain a better understanding of unusual spikes or drops in customer demand. Construction: Historic wind, temperature, precipitation, and lightning data can be used to determine future project sites and to select equipment for the build. Identify weather risks for projects during the planning stage. Data can be used as an aid in determining project costs, best time frames for building, project manning, and scheduling. Minimize price risk. Transportation: Improve decision making by using historical weather data to gauge future transport timing. Energy: Use historical weather information as an input to model best people and resource placement in advance of impactful weather. Building operations managers can use historic weather data to gauge future energy usage and to tune and control energy use Trading: Use historical weather data to help determine when to buy or sell. Identify where investments are going.

What platforms is CustomWeather integrated with?

OpenGIS, Restful API, and Dun and Bradstreet Data Exchange

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