Median total damages
       
     
Inequality of damages in the USA
       
     
Climate Damage Function for the USA
       
     
Damage function for USA (Fahrenheit only)
       
     
Median damages by sector
       
     
Floodplain for New York, NY
       
     
Floodplain for Miami, FL
       
     
Floodplain for Norfolk VA
       
     
Floodplain in Houston, TX
       
     
Floodplain for Washington, DC
       
     
Combining output from global climate models
       
     
Median total damages
       
     
Median total damages

County-level annual damages in median scenario for climate during 2080-2099 under business-as-usual emissions trajectory (RCP8.5). Negative damages indicate economic benefits. Map corresponds with Figure 2I in main article.

Inequality of damages in the USA
       
     
Inequality of damages in the USA

Range of economic damages per year for groupings of US counties, based on their income (29,000 simulations for each of 3,143 counties). The poorest 10% of counties are the leftmost box plot. The richest 10% are the rightmost box plot. Damages are fraction of county income. White lines are median estimates, boxes show the inner 66% of possible outcomes, outer whiskers are inner 90% of possible outcomes. This figure is a simplified version of Figure 5C in the main article.

Climate Damage Function for the USA
       
     
Climate Damage Function for the USA

Estimated total direct damage to US economy per year in response to global mean temperature changes (horizontal axis). The red line is average losses across 29,000 simulations. The shaded region marks the 90% confidence interval across simulations (there is a 90% chance a simulation lands in this region). This graph corresponds with Figure 5A in the main article.

Damage function for USA (Fahrenheit only)
       
     
Damage function for USA (Fahrenheit only)

Estimated total direct damage to US economy per year in response to global mean temperature changes (horizontal axis). The red line is average losses across 29,000 simulations. The shaded region marks the 90% confidence interval across simulations (there is a 90% chance a simulation lands in this region). This graph corresponds with Figure 5A in the main article.

Median damages by sector
       
     
Median damages by sector

County-level annual damages in median scenario for climate during 2080-2099 under a business-as-usual emissions trajectory (RCP8.5). Negative damages indicate benefits. From left to right, top to bottom: percent change in yields, averaged for maize, wheat, soybeans, and cotton; changes in all-cause mortality rates, across all age groups; change in electricity demand; change in labor supply of full-time equivalent workers for low risk jobs where workers are minimally exposed to outdoor temperature; same as previous except for high risk jobs where workers are heavily exposed to outdoor temperatures; change in damages from coastal storms and sea level rise; changes in violent crime rates; changes in property crime rates; median total direct economic damage across all sectors. Maps corresponds with Figure 2 in main article.

Floodplain for New York, NY
       
     
Floodplain for New York, NY

Simulations of areas inundated by 1-in-100 year floods under median sea level rise under business-as-usual (RCP8.5) warming, accounting for forecast changes in tropical cyclone activity. The analysis covered the entire US coast, this image is for New York, NY. These correspond with Figure 4B and 4D in the main article.

Floodplain for Miami, FL
       
     
Floodplain for Miami, FL

Simulations of areas inundated by 1-in-100 year floods under median sea level rise under business-as-usual (RCP8.5) warming, accounting for forecast changes in tropical cyclone activity. The analysis covered the entire US coast, this image is for Miami, FL. These correspond with Figure 4B and 4D in the main article.

Floodplain for Norfolk VA
       
     
Floodplain for Norfolk VA

Simulations of areas inundated by 1-in-100 year floods under median sea level rise under business-as-usual (RCP8.5) warming, accounting for forecast changes in tropical cyclone activity. The analysis covered the entire US coast, this image is for Norfolk, VA. These correspond with Figure 4B and 4D in the main article.

Floodplain in Houston, TX
       
     
Floodplain in Houston, TX

Simulations of areas inundated by 1-in-100 year floods under median sea level rise under business-as-usual (RCP8.5) warming, accounting for forecast changes in tropical cyclone activity. The analysis covered the entire US coast, this image is for Houston, TX. These correspond with Figure 4B and 4D in the main article.

Floodplain for Washington, DC
       
     
Floodplain for Washington, DC

Simulations of areas inundated by 1-in-100 year floods under median sea level rise under business-as-usual (RCP8.5) warming, accounting for forecast changes in tropical cyclone activity. The analysis covered the entire US coast, this image is for Washington, DC. These correspond with Figure 4B and 4D in the main article.

Combining output from global climate models
       
     
Combining output from global climate models

44 climate models (outlined maps) and model surrogates (dimmed maps) are weighted so the distribution of the range of 2080-2099 global mean surface temperature changes match the probability distribution of estimated changes based on climate sensitivity estimates (blue-grey line) under a business-as-usual emissions trajectory (RCP8.5). Image corresponds with Figure 1A in the main article.