Description: This report highlights major weather stories that unfolded across the month of January 2020.

Description: This installment reports on April, 2019 extreme weather events

Description: This report provides results from a recently conducted study using the AIR Wildfire Model for the United States and available climate and climate change information to estimate how climate change may influence wildfire losses to U.S. property by mid-century. The climate change conditioned catalogs were used to evaluate climate change impacts (relative change in losses) to the AIR Worldwide US Industry Exposure Database, with all factors other than area burned held constant.

Description: This report categorizes weather datasets into 8 main types, of which 5 are historical data and 3 are forecast data. Each of the 8 dataset types is described, and an illustrative example of each is provided.

Description: ESG is the abbreviation of Environmental, Social and Governance, which has become an increasingly popular concept in the capital markets across the globe. Although definitions on ESG vary slightly according to different sources, the general understandings are similar. Environmental refers to issues related to the planet, such as climate change mitigation and biodiversity protection; Social focuses on issues around societal problems, such as gender inequality; Governance puts emphasis on building and maintaining a sound corporate governance system.

Description: This report provides a methodology for identifying climate regime shifts in different scenarios to prepare insurers for the impacts of climate change. It discusses physical tipping points, socio-economic tipping points, and regime shifts affecting the insurance industry, with a focus on wildfires in California and heat stress in the Pacific Northwest.

Description: This installment reports on May, 2019 extreme weather events

Description: This report highlights major weather stories that unfolded across the month of December 2019

Description: This report categorizes weather datasets into 8 main types, of which 5 are historical data and 3 are forecast data. Each of the 8 dataset types is described, and an illustrative example of each is provided.