"The more detailed you get to be either in space or in time, the less precise your projections are."
"standing potential risks in the area,"
"A lot of these private-sector models tend not to be very transparent and it can be difficult to understand what types of data or methodologies that they're using,"
"People who are making decisions that involve risk benefit from exposure to as many credible estimates as possible, and exposure to independent credible estimates adds a lot of extra value,"
Climate risk models perform best at characterizing broad environments of risk and lose precision at finer spatial or temporal scales. The California plugin focuses on communicating standing potential risks in the area rather than specific property-level risk. Increased accuracy in climate risk projections depends on transparency in methods and data sources. California benefits from extensive publicly available state and federal datasets with documented methodologies, which facilitates reproducibility and tool development. Private-sector models often lack transparency, complicating evaluation. Exposure to multiple independent and credible estimates improves decision-making under risk. The plugin is currently in beta and open to feedback.
Read at Ars Technica
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