Crop

The many naming conventions for crops and districts in such a large and diverse country was one of the challenges faced when building the AIR Multiple-Peril Crop Insurance (MPCI) Model for India.

A multi-peril crop insurance (MPCI) catastrophe model, like any catastrophe modeling framework, depends on different types of historical data to various extents.

Each year, farmers face myriad potential perils to their crops: drought, waterlogging, frost, and hail to name a few.

Crop exposure changes much more frequently than property exposure, with crop rotation practices leading to changes as often as every year.

What do the likely El Niño conditions anticipated to develop in early 2019 mean for crop yield and how should (re)insurers react?

Leveraging our understanding of weather and catastrophe modeling, AIR debuted a MPCI Model for the U.S. in 2008, and we have been updating it for 10 years now.

Crops in Canada face many weather hazards, but in the Prairie Provinces—Manitoba, Saskatchewan, and Alberta—there’s also a different kind of hazard: grasshoppers.

Each year, farmers face myriad potential perils to their crops: drought, waterlogging, frost, and hail to name a few.

Premium rates for U.S. crop insurance policies, which vary by county, crop, and coverage level, are updated annually based on the federal government’s understanding of the risk.

Fierce extratropical cyclones (ETCs) can devastate vast areas of forest in Europe, felling millions of trees within hours and potentially causing insured losses well in excess of a billion Euros.