An innovative, market-proven product against drought and excess rainfall.

Advanced weather risk management tool that helps safeguard your income against both drought and excess moisture

Tracks the balance between precipitation (rainfall) and evapotranspiration (moisture from soil and plants) over a defined period / season

THE FORMULA

↓ PRECIPITATION

↑ EVAPOTRANSPIRATION

↓↑ WATER BALANCE INDEX

Low Water Balance Season Cover Payout for Deficit Water Balance

If the average daily water balance is lower than the trigger amount of water balance, the policy holder will receive a fixed amount for each mm of water balance shortfall up to the cover limit.

EXAMPLE

KEY SELLING POINTS

°  No proof of physical loss to your property

°  No proof of loss to Business Income

°  Wire transfer of loss payment within days directly to the Insured

°  Loss trigger based on data from the National Hurricane Center (NHC)

°  Transparent product administrated through best-in-class platform solution

°  Backed by reputable reinsurer

Cover period: May 1st – 11th

Trigger: < 5mm

Payout per mm: USD 10,000

Cover limit: USD 100,000

HRRI EVENT COVERAGE TABLE

If the path of a Hurricane intersects the Insured Location, loss payments are due based on the Event Coverage Table.

Table displaying hurricane categories and their indemnity in percentage of policy limit. Categories 1 and 2 have no indemnity, Category 3 has 20%, Category 4 has 40%, and Category 5 has 100%.

HOW IS IT MEASURED

The National Hurricane Center (NHC) provides 6 hourly and landfall measurement points for each Hurricane track. The measurement point information includes: windspeed, storm category, geolocation, and time.

The relevant hurricane category for the insurance is the highest value of:

a)  The last measurement point before the track

intersects the Insured Location

b) Any measurement point within the Insured

Location

c)  The first measurement point after the track has

left the Insured Location

Map of southern Florida showing the path of a hurricane, with labels pointing to different regions. Area a is labeled Homestead, area b is labeled Fort Lauderdale, and area c is labeled West Palm Beach.

PAYOUT EXAMPLES

HRRI POLICY TERMS EXAMPLE

A table displaying insurance policy details related to hurricane event coverage, including insured address, event, eligible event criteria, relevant categories, raw data frequency, data provider, and policy limit.

Scenario 1

A shop owner in Panama City FL purchased a HRRI for the storm season 2019 with a Policy Limit of $1,000,000. The Insured Location is a circle with 40 miles radius with the shop location as the Insured Address‘.

A map showing the Gulf of Mexico, with a hurricane tracking circle near Panama City, Florida. A pop-up displays weather data for Hurricane Michael, including wind speed of 135 knots, category 4, on October 10, 2018. The map includes various cities and a wind intensity scale with color-coded dots.

Hurricane Michael intersected the Insured Location as a Category 5 Storm. The owner received $1,000,000 payout.

Scenario 2

A boat rental company in Port Aransas TX purchased a HRRI for the storm season 2017 with a Policy Limit of $500,000. The Insured Location is a circle with a 40 miles radius around the harbor.

Map showing hurricane Harvey near Corpus Christi, Texas, with wind speed of 115 knots, category 4, on August 26, 2017.

Hurricane Harvey intersected the Insured Location as a Category 4 storm. The boat rental company received a $200,000 payout.

Scenario 3

A hotel in New Oreleans purchased a HRRI for the storm season 2005 with a Policy Limit of $500,000. The Insured Location is a circle with a 40 miles radius around the hotel.

Map showing the tracked path of Hurricane Katrina near Louisiana, with a red circle indicating wind speed and category, timestamp, and wind speed data, along with a legend for wind intensity scale.

HuKatrina intersected the Insured Location as a Cat 3 storm. The Hotel received a $100,000 payout.

We find the historical norm in the area and measure how much dryer or wetter the conditions could be against the average

By cross-referencing historical losses with the WBI, we can find the level at which yield loss occursand set the trigger thresholds accordingly