Correction: Characterizing multicity urban traffic conditions using crowdsourced data

Urban-Scale Processes in High-Spatial-Resolution Earth System Models

“…• Data from remote sensing devices (satellite-borne) are also increasing in both temporal and spatial resolution as well as quality. • With the nearly universal use of mobile devices, cellular phone carriers and, increasingly, mobile phone hardware and application companies (e.g., Google, Apple, Twitter, and Facebook), have collected detailed data about human movement, from which these companies (and their partners) are building sophisticated models forecasting traffic patterns in urban areas (Nair et al 2019). Such data can provide additional factors in modeling urban emissions from both vehicle traffic and buildings.…”