Projections on climate risk often rely on limited datasets, he explained, underscoring the need for more robust and comprehensive data sources. According to McDaniel, combining disparate datasets is essential for accurately assessing risks, such as the impact of hurricanes, and understanding factors like infrastructure vulnerability, economic impact, and historical preservation.
