US billion-dollar weather and climate disasters: data sources, trends, accuracy and biases

By Adam B. Smith, Richard W. Katz. Natural Hazards, 2013

679 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Evolution, Behavior and Systematics, Soil Science

View Paper: https://www.semanticscholar.org/paper/416704fb60bcba439c16a002a4e7f6fec782384c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Jessica L. Matthews
2. Sai Ma
3. Serena Ng
4. Sydney C. Ludvigson
5. Adam B. Smith

In Ecology, Evolution, Behavior and Systematics

1. Jessica L. Matthews
2. Sai Ma
3. Serena Ng
4. Sydney C. Ludvigson
5. Adam B. Smith

In Soil Science

1. Jessica L. Matthews
2. Sai Ma
3. Serena Ng
4. Sydney C. Ludvigson
5. Adam B. Smith

Citations in the corpus

• Covid-19 and the Macroeconomic Effects of Costly Disasters (2020, positive): “As explained in Smith and Katz (2013), the total costs reported in NOAA are in billions of 2019 dollars and are based on insurance data from national programs such as flood insurance, property claims, crop insurance, as well as from risk management agencies such as FEMA, USDA, and Army Corps.”
• Quantifying uncertainty and variable sensitivity within the US billion-dollar weather and climate disaster cost estimates (2015, positive): “For example, in the United States drought and flooding events have higher potential uncertainty values around their loss estimates due to less coverage of insured assets (Smith and Katz 2013).”