Linking local-climate-zones mapping to multi-resolution-analysis to deduce associative relations at intra-urban scales through an example of Metropolitan London

In this paper, we propose a systematic approach that translates geographically-based information data, into complete versatile gridded numerical information for use in comparative data analyses and atmospheric or other advanced numerical modelling studies. Intended to provide substantial added value to the wealth of data as currently collected and archived under the international initiative World-Urban-Database and Access-Portal-Tools (WUDAPT), this methodology is extensible to situations involving observed and or modelled data of different resolutions to a comparable level of resolution as a framework for deriving associative relations between areas of strong interest and attributes of topical importance. We demonstrate this methodology and approach utilizing morphological form parameters data at city block scale and their associative relationship to CO2 emissions data at borough scales. Specifically, the form-based morphology was a derivative of London's Local Climate Zones (LCZs) map information built and used in conjunction with the Multi-Resolution-Analysis (MRA) of Urban Canopy Parameters (UCPs) data. •A fast method to translate the LCZ classification into gridded information for modelling is introduced•The method enables the adjustment of data with different resolutions to the desired resolution.•Insights into the impact of city morphology into the CO2 emissions are obtained•A multiscale urban micro-climate description of Metropolitan London is provided as an example