52: Flood Data Shows Alarming Trends, Surpassing Previous Modeling Estimates. Professor Beth Tellman (University of Arizona Geography Department; Cloud to Street) highlights that her compiled flood data is useful for financial sectors, such as insurance a

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Flood Data Shows Alarming Trends, Surpassing Previous Modeling Estimates. Professor Beth Tellman (University of Arizona Geography Department; Cloud to Street) highlights that her compiled flood data is useful for financial sectors, such as insurance and municipal bonds. The data shows Asia dominates observations, accounting for 398 of 913 events, including 85 in India and 52 in China. Furthermore, climate change projections for 2030 show Asia, among 57 countries globally, is expected to see significantly increased flood exposure. Tellman asserts her data is more alarming than previous modeling because it systematically captures impactful human events that models often exclude, such as dam breaks (13 events affecting over 13 million people). Although projections to 2100 are highly uncertain, the 2030 predictions are considered a "pretty good bet." This fresh, observed data, which runs contrary to good planning, is expected to be incorporated into the next IPCC report.
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