Global flood solutions

Moody’s RMS Europe Inland Flood HD Model provides the largest single European-wide event set on the market, spanning 14 countries and 900,000 events. This model helps users manage pan-European portfolios across geopolitical borders and regions.

It explicitly considers flooding induced by snow melt, along with traditional fluvial and pluvial sources of flooding.

Its specific flood defense approach incorporates a comprehensive database of the most recent public defense information. It considers both temporary and permanent flood defenses, which can be adjusted for sensitivity testing.

Moody’s RMS Japan Typhoon and Flood HD Model captures risk from typhoon wind, typhoon-driven inland and coastal floods, and non-typhoon floods. It provides a comprehensive view of risk while allowing for loss differentiation between perils.

Calibrated with over ¥2 trillion of claims data spanning 20 years, the model is equipped with more than 5,000 different, region-dependent vulnerability functions for building, contents, and business interruption coverages. Likewise, it can handle complex policy structures commonly found in Japan, such as step policies and franchise deductibles

It includes the most scientifically advanced extratropical transitioning model on the market in order to accurately portray this significant regional phenomenon.

Moody’s RMS Southeast Asia Inland Flood HD Model captures flood risk across four countries in Southeast Asia: Thailand, Malaysia, Singapore, and Indonesia (specifically the islands of Java and Bali).

The model assesses the damages and subsequent losses associated with fluvial and pluvial flooding driven by precipitation from monsoons, tropical cyclones, and convection.

The model’s event set is made up of over 800,000 inland flood events across 50,000 simulation years.

Moody’s RMS New Zealand Inland Flood HD Model is the first probabilistic flood model for New Zealand on the market, providing a high-resolution outlook of flood risk to a country where flooding makes up 50% of total catastrophe events.

The model's event set simulates 350,000 flood events across 50,000 years of continuous precipitation.

It is compatible with Moody’s RMS New Zealand Earthquake HD Model, which is highly beneficial given that flood and earthquake events constitute 90% of the nation's forecast annual losses.

Moody’s RMS China Inland Flood Model is built on an event set of 100,000 flood events across 10,000 simulation years.

The model is compatible with Moody’s RMS China Typhoon Model, providing a combined view of typhoon and inland flood risk. These are usually grouped together under “wet peril” policies typical of the region.

We've built strong local partnerships in China, allowing us to validate our model against exposure data representing more than 70% of the market and incorporate local flood defense knowledge from 70 cities across China.

Moody’s RMS India Inland Flood Model provides a complete view of flood risk, accounting for both fluvial and pluvial sources of flooding, the latter of which explicitly covers urban and flash flood events driven by monsoon rainfall.

The model's event set is based on 125,000 events across 9,033 catchments throughout India.

It boasts over 1,000 vulnerability curves specific to the region and is compatible with our models for industrial facility and builders risk vulnerability.

Moody’s RMS Philippines Typhoon and Inland Flood Model captures risk from both typhoon wind and flooding as well as seasonal monsoon-driven flooding.

It applies a fully hydrodynamic storm surge model to assess coastal flood risk in a country with thousands of islands and the fifth-longest coastline in the world.

The model contains almost 1,000 region-dependent vulnerability curves designed to capture local design and building practices.

Moody’s Global Flood Data and Maps solutions suite covers all countries worldwide at a 10-meter resolution. It can be used to supplement the view of risk in modeled territories and to fill in gaps in understanding in unmodeled territories, where there is typically insufficient data to construct complete hydrological models.

Through a combination of hydrology from our probabilistic flood models and machine learning in areas of limited data, our comprehensive solutions suite accounts for all sources of flooding (fluvial, pluvial, and coastal).

Moody’s has developed a global defense model that learns from the standards of protection in Moody’s RMS models and localized variables. This results in an improved understanding of the effects of local mitigation methods, with high-quality defended and undefended views of global flood risk.