Modeling Surface Climate in U.S. Cities Using Simple Biosphere Model SiB2

Abstract

We combine Landsat-and the moderate-resolution imaging spectroradiometer (MODIS)-based products in the Simple Biosphere model (SiB2) to assess the effects of urbanized land on the continental United States (CONUS) surface climate. Using National Land Cover Database (NLCD) impervious surface area (ISA), we define more than 300 urban settlements and their surrounding suburban and rural areas over the CONUS. The SiB2 modeled gross primary production (GPP) over the CONUS of 7.12 PgC (1 PgC = 1015 g of carbon) is comparable to the MODIS improved GPP of 6.29 PgC. At state level, SiB2 GPP is highly correlated with MODIS GPP, with a correlation coefficient of 0.94. An increasing horizontal GPP gradient is shown from the urban out to the rural area, with, on average, rural areas fixing 30% more GPP than urbans. Cities built in forested biomes have stronger urban heat island (UHI) magnitude than those built in short vegetation with low biomass. Mediterranean climate cities have a stronger UHI in wet season than in dry season. Our results also show that for urban areas built within forests, 39% of the precipitation is discharged as surface runoff during summer versus 23% in rural areas.