*4.2. Climate Data*

Local climate data are needed to initialize rainwater harvesting tank storage and irrigation demand values for Wolfpack City. We selected the location of Wolfpack City based on the maximum potential rainwater yield at various locations across the U.S. using Equation (15) [91]:

$$Y = \mathbb{C} \times LA \times RT \times P\_{ann} \tag{15}$$

where *Y* is maximum potential rainwater harvesting yield; *C* is a runoff coefficient, assigned a value of 0.75 [91]; *LA* is land area; *RT* is the percentage of land cover which is rooftop; *Pann* is average annual precipitation. The percentage rooftop is calculated based on land area, housing density, and average roof size [81,92]. We estimated the potential rainwater harvesting yield at 10 locations that are spread across regions of the U.S. using publicly available land cover data [92] and thirty year precipitation averages [93]. Cities that were included in the analysis are Baltimore, Maryland; Branson, Missouri; Dallas, Texas; Denver, Colorado; Fargo, North Dakota; Phoenix, Arizona; Raleigh, North Carolina; San Diego, California; Seattle, Washington. Cities that report the highest value for *Y* are Seattle (24.1 million m3), Dallas (13.5 million m3), and Phoenix, Arizona (12.2 million m3).The values for each city are shown in Appendix A (Table A1).

Seattle, Washington, was selected as a climate region for Wolfpack City, and observations of precipitation and evapotranspiration in April 2020 are used to create climate scenarios. The data used in this study were recorded at USGS Station 12113346 for Springbook Creek at Orillia, WA [92]. Over April 2020, evapotranspiration was recorded as 281.25 mm/month. Seattle's household density (*ρ*) is 721 housing units/km2, and other parameters needed for the agent-based model, such as roof size and ratio of unpaved land to total land area, are determined using national averages (Table 1) [81,92]. Using Equation (10), consumer irrigable lawn area (*LI*) is calculated as 494.9 m2.
