Athenium Analytics, a US-based provider of climate intelligence for insurance carriers, has launched a new historical tornado data set, which is available via the Esri ArcGIS Marketplace.
According to the company, the data set offering gives access to 25 years of historical tornado insights. It is said to include two-dimensional damage swaths from all confirmed tornadoes that took place between 1995 and 2019 in the contiguous US.
Athenium Analytics chief product officer Lindsay Gray said: “Many of our insurance clients already leverage Esri’s ArcGIS software as part of their core workflows.
“By offering our climate risk analytics through the ArcGIS Marketplace, we can expand the reach of our proprietary data sets while also enhancing the insights carriers trust as part of the claims and underwriting process.”
Esri provides geographic information system (GIS) software, mapping, and location intelligence. Its ArcGIS Marketplace is designed as a curated digital geospatial channel that contains system-ready apps, solutions, content, and professional services for the users of ArcGIS.
Athenium Analytics said that the new tornadic data set enables the users of Esri in integrating high-resolution tornado insights within ArcGIS Pro, ArcGIS Online, and ArcGIS Enterprise. This will help in better analysis and prediction of catastrophic losses, said the company, which is owned by In-Q-Tel, an investment fund that caters to the US Central Intelligence Agency and the larger US Intelligence Community.
Furthermore, the listing helps customers of Esri in increasing their access to patented weather-risk insights and fulfill the increasing demand for enterprise climate intelligence.
Esri global partners and alliances director Robert Laudati said: “We’re pleased to welcome Athenium Analytics to Esri’s ArcGIS Marketplace.
“Athenium brings a decade of risk analytics expertise, including leading-edge weather and climate intelligence solutions that enable public and private organisations to mitigate the risks associated with climate change.”
