Protect your business from the financial impact of prolonged dry and drought conditions with a tailored, data-driven parametric coverage.
Extended spells of dry or drought-like weather can suppress demand, stress supply chains, and strain cash flow. Our parametric dry-weather cover smooths that volatility and can respond to losses traditional policies might overlook. You choose the level of dryness your operations can tolerate and the payout required to defend your P&L.
Instead of building a complex claims file to prove severity, causation, and loss amount, this cover relies on objective measurements from nearby weather station(s) or satellite rainfall indices. If the pre-agreed trigger is met—defined by dry days or low accumulated rainfall—the policy pays automatically.
Policies can run for any number of days, including annual or multi-year terms. Operationally, premium is due 20 days before inception and all valid claims are paid 14 days after expiry, helping you plan with confidence and communicate reduced weather volatility to stakeholders.
Transfer the financial risk of abnormal weather to the insurer and plan with confidence—benefits in reducing volatility can be disclosed to investors.
Measurement & terms: Triggers use the closest station(s) or specified satellite grids (often ~5×5 km with sensitivity to 0.1 mm); portfolio covers can list a panel of stations or grids. Premium is paid 20 days pre-inception; valid claims settle 14 days post-expiry.
These building blocks define how your dry-weather cover behaves and how payouts are calculated:
Operations: Premium due 20 days before inception; valid claims paid 14 days after expiry. Annual and multi-year policies available.
Simple structure, objective data, transparent settlement—answers to common questions below:
No. This is an insurance policy and only pays if the insured peril occurs.
Payouts follow the measurement source named in the policy. If the station/grid meets the trigger but your site seems unaffected, the policy still pays; if your site feels dry but the station/grid doesn’t meet the trigger, no payout is due. We mitigate this with a network of nearby stations and, where available, satellite rainfall data for finer localisation.
Typically: (1) location of risk, (2) at least five years’ loss history related to rainfall, (3) desired limits, (4) excess/deductible preferences, (5) policy period.