Modelling Hurricane & Typhoon
Committed To Securing Livelihoods
Modelling Hurricane Risk
Tropical cyclones, which are also known regionally as hurricane, cyclones or typhoons contribute significantly to the global annual natural disaster losses. Infinite Observations ZineQx platform specialises in modelling risk arising from hurricane catastrophes on a global scale. Risk assessment covering an entire range of landfalling, near landfalling or bypassing, and transitioning storms are taken into consideration.
Infinite Observations ZineQx Hur Cat Models (hurricane catastrophic models) are informed on large data sets of stochastic events and impact rates in distinct geographic regions.
Infinite Observations ZineQx Hur Cat Models includes features such as wind, storm surge, flooding, etc., that simulates various realistic hurricane disaster situations in any effected region.
Buildings and other civil structure specific characteristics, such as first floor elevation, roof envelop, etc. as well as national building codes, standards and regulations are also incorporate the modelling, apart from the hurricane, storm surge and water, to differentiate catastrophe scenario’s across and within regions, sub-perils and adaptation, mitigation efforts could be implemented to become more resilient in the future.
Hurricane Catastrophe Model
Modelled Regions :
Click a region to see countries or islands where courage is available.
Central America & Caribbean
Asia & Pacific
The Greater Antilles
Turks and Caicos Islands
Lesser Antilles (Leeward Islands)
Saint Martin (Fr.)
Sint Maarten (Neth.)
Sint Eustatius (Neth.)
La Désirade (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)
Los Roques Archipelago
Lesser Antilles (Windward Islands)
Asia & Pacific
Hong Kong (China)
New Caledonia (Fr)
Papua New Guinea
Northern Mariana Islands (US)
Wake Island (US)
American Samoa (US)
Cook Islands (NZ)
Easter Island (Ch)
French Polynesia (Fr)
Norfolk Island (A)
Wallis and Futuna (Fr)
Decision & Policy Making With Hurricane Risk Modelling
Data Driven Hurricane Modelling
Infinite Observations leverages advances in technology, specifically around computational efficiency and artificial intelligence, to make greater applications of data driven catastrophe models and the quantification of risk and value transfer. Our hurricane catastrophe models take current and historical factors into account such as: (1) The established approach and point of departure of long-term historical storm data as well as with a greater percentage of historical storms reaching hurricane strength. (2) Sea Surface Temperatures (SSTs) that are the result of accumulated atmospheric anthropogenic, which can also be influenced by episodic events, such as volcanic activity and can be coupled to precipitation anomalies, large scale droughts and floods through global teleconnections. (3) El Niño-Southern Oscillation (ENSO) and Atlantic Multidecadal Oscillation (AMO), which is a naturally occurring irregular climate anomaly with a periodicity that span several decades, in the central and eastern tropical Pacific Ocean and respectfully in the North Atlantic Ocean.
Accurate Data Driven Models
Robust modelling with our hurricane catastrophe model, which is a collection of acute physical risk scenarios (or a stochastic catalogue) gives us insights for more extensive catastrophe risk assessment, management and the power to accurately quantify risk, make informed decisions, and achieve an improved combined loss estimate. The model includes hurricane wind, storm surge, and precipitation-driven (or pluvial) and river (or fluvial) floods inland flooding. The catastrophe events correlate globally with sea surface temperature (SST) and anthropogenic emissions as the main driver. Precipitation models are used to drive a high resolution stochastic modelled land surface and river flood maps, which are in turn used as input to our probabilistic loss model. In addition, Infinite Observations catastrophe model include a financial engine, which converts physical property damage into loss estimates. This element is crucial when correlating the loss magnitude to a certain probability, which is an important factor for indemnity-based risk transfer. In the aftermath of major catastrophe, costs of material and labour usually increases as a function of availability and demand. This element is also included in our catastrophe model as part of the loss estimates.
Infinite Observations offers a broad spectrum of climate change related solutions and insights from the identification of climate risk to the quantification and validation of associated losses as well as analytics.
Global trade in the agriculture plays a crucial role in delivering clothing and food to consumers worldwide and it played a vital role in reducing food insecurity. However, this …
Large commercial construction projects, civil structures (bridges, levees and tunnels) as well as private homes are exposed natural and man-made disasters. Estimate the losses …
Environmental risks are not only related to exposure from natural catastrophes but are also associated with human behaviour. Thousands of businesses worldwide ranging in size from …
Between 2004 and 2005, respectively 305 and 360 natural disasters incurred with an estimated death toll of 336.500 lives lost and more than 300 million people being adversely impacted …
Flood damage accounts for an increasing amount of catastrophe losses as a result of our changing climate. As more and more of the global population and wealth are …
Human, Life & Health
Life, health and longevity face many uncertainties in our ever-changing world. The global increase of infectious diseases and the resulting pandemics, the global threat of terrorism …