This model characterizes the most intense long-duration risk by considering the hottest thirty days for each reporting unit in each year between 1991 and 2020.
This model characterizes the most intense short-term risk by considering the hottest three days for each reporting unit in each year between 1991 and 2020.
This model characterizes the most intense future short-duration risk by considering the hottest projected three days for each reporting unit in each year between 2036 and 2065.
This model characterizes the most intense future long-duration risk by considering the hottest projected thirty days for each reporting unit in each year between 2036 and 2065.
This model characterizes the most intense long-duration risk by considering the hottest thirty days for each reporting unit in each year between 1991 and 2020.
This model characterizes the most intense short-term risk by considering the hottest three days for each reporting unit in each year between 1991 and 2020.
This model characterizes the most intense future short-duration risk by considering the hottest projected three days for each reporting unit in each year between 2036 and 2065.
This model characterizes the most intense future long-duration risk by considering the hottest projected thirty days for each reporting unit in each year between 2036 and 2065.
Unvetted, example model for tree planting priority in King County, Washington State based on heat-health risk determined using the hottest 3 days of each reporting unit over the period 1990-2020
This model characterizes the most intense short-term risk by considering the hottest three days for each reporting unit in each year between 1991 and 2020 for Pierce County, WA.
This model characterizes the most intense short-term risk by considering the hottest three days for each reporting unit in each year between 1991 and 2020.
This model characterizes the most intense short-term risk by considering the hottest three days for each reporting unit in each year between 1991 and 2020.