Infinite Observations

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ZineQx Windstorm
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Modelling Windstorm Risk

Committed To Securing Livelihoods

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Modelling Windstorm, Hailstorm, Tornado & Severe Thunderstorm Risks

Annually the US, Canada, Europe and Australia are effected by billions in losses as a consequence of severe convective storms or sub-perils of these storms. Severe windstorms, tornadoes and thunderstorms can be sub-perils triggered by a single major event or can be multiple individual events over the course of a given time period. They can no longer be viewed as attritional risks. The losses from events such tornados, hailstorms, lightning and straight-line wind that can be the onset or the result of an extreme occurrence, for example a thunderstorm outbreak or a hurricane, can be catastrophic.

Infinite Observations ZineQx Severe Storm Model provides convective

cat model solutions that simulates, assesses and manages the extreme loss volatility constituted by these extraordinarily localized peril of possible severe convective storm risk. We use a combination of historical or stochastic events data and statistical or mathematically derived data set and physical simulations to evaluate event probabilities and generate the frequency, intensity, and geographical distributed robust record of severe convective storm outbreaks with a high likelihood while implementing specific damage functions to disassociate their distinct impacts on the assets, such as building, inventory and business disruption, of our clients.

Windstorm Catastrophe Models

Modelled Regions :

Click a region to see countries or islands where courage is available. 

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North America

Europe

Middle East

Central America & Caribbean

Asia & Pacific

Latin America

Africa

Australia

Severe Convective Storm Risk Modelling

North America

Canada

United States

Mexico

Central America

Belize

Costa Rica

El Salvador

Honduras

Nicaragua

Panama

Caribbean

The Greater Antilles

Cuba

Puerto Rico

Jamaica

Cayman Islands

Hispaniola:

Haiti

Dominican Republic

Lucayan Archipelago

Bahamas

Turks and Caicos Islands

Lesser Antilles (Leeward Islands)

Anguilla (UK)

Saint Martin (Fr.)

Sint Maarten (Neth.)

Saint-Barthélemy (Fr.)

Saba (Neth.)

Sint Eustatius (Neth.)

Saint Kitts

Nevis

Antigua

Barbuda

Redonda

Bermuda

Montserrat (UK)

Guadeloupe (Fr.)

La Désirade (Fr.)

Marie-Galante (Fr.)

Les Saintes archipelago (Fr.)

St. Thomas (US VI)

St. John (US VI)

St. Croix (US VI)

Water Island (US VI)

Tortola (UK VI)

Virgin Gorda (UK VI)

Anegada (UK VI)

Jost Van Dyke (UK VI)

Aruba (Neth.)

Curaçao (Neth.)

Bonaire (Neth.)

La Orchila

La Tortuga

La Blanquilla

Margarita Island

Coche

Cubagua

Los Roques Archipelago

Lesser Antilles (Windward Islands)

Dominica

Martinique (Fr.)

Saint Lucia

Barbados

Saint Vincent

Grenadines

Carriacou

Petite Martinique

Grenada

Trinidad

Tobago

South America

Argentina

Bolivia

Chile

Cayman Islands

Colombia

Ecuador

Guyana

Guiana (Fr.)

Paraguay

Peru

Suriname

Uruguay

Venezuela

Europe

Andorra

Austria

Belgium

Bulgaria

Czech Republic

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

Iceland

Ireland

Italy

Latvia

Liechtenstein

Lithuania

Luxembourg

Malta

Monaco

Netherlands 

Norway

Poland

Russia

Spain

Sweden

Switzerland

Turkey

United Kingdom

Vatican City

Asia & Pacific

East Asia

China

Hong Kong (China)

Macau (China)

Japan

North Korea

South Korea

Taiwan

South Asia

Bangladesh

India

Maldives

Sri Lanka

South Asia

Brunei

Cambodia

Indonesia

Laos

Malaysia

Myanmar

Philippines

Singapore

Thailand

Timor-Leste

Vietnam

Australasia

Australia

New Zealand

Melanesia

Fiji

New Caledonia (Fr)

Papua New Guinea

Solomon Islands

Vanuatu

Micronesia

Guam (US)

Kiribati

Marshall Islands

Nauru

Northern Mariana Islands (US)

Wake Island (US)

Polynesia

American Samoa (US)

Cook Islands (NZ)

Easter Island (Ch)

French Polynesia (Fr)

Niue (NZ)

Norfolk Island (A)

Tonga

Tuvalu

Samoa

Wallis and Futuna (Fr)

Severe Thunderstorm Models

There is abundant historical data regarding straight-line winds, hail, and tornadoes. However, these data sets reflect reporting biases because of sparse populated areas, non-reporting of localized events and occurrences that go unnoticed. To compensate for this lack of data because of non-reporting issues a smoothing technique can be applied to the data to give a more physically realistic representation and to include locations that have experienced major activity but have been left out of historical records. The smoothing techniques leverages high-resolution meteorological parameters, statistical and physical analyses to determine favorable spatial and temporal conditions for severe thunderstorm formation. The result is a complete geospatial catalogue of severe thunderstorm hazard that can be utilized to inform various organization in the industry with regard to supercell severe thunderstorm risk.

Quantifying Losses Large & Small

Major thunderstorms can last for several days at time and have an impact across multiple countries or states. However, the individual constituents of an outbreak of such a thunderstorm, tornadoes, hailstorms, and straight winds, are often very localised and last just minutes. To capture the losses from both the large and small effects Infinite Observations employs a high-resolution granular damage mapping for each specific sub-peril, based on satellite and radar data from meteorological organisation in North America, Europe and Australia along with advanced clustering analyses techniques. This yields models with exceedance probability curves that can be used to determine losses resulting from large outbreak and smaller events. (Weighed) damage functions are generated by the model for each specific sub-peril, which include factors such as gust wind velocity, impact energy, construction types, building codes, seasonality, etc. The models can be validated in its entirety or model component can be validate independently against information and research from industry sources.   

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ZineQx - Infinite Observations

Successfully Manage Windstorm Risk Using Our Hybrid Modelling Approach