There is a lack of understanding the impact of urban environment on local temperatures. This deficit is partially due to some overlapping issues within different numerical modelling approaches especially when it comes to the scale in which every model operates and to the implementation of multi-scaled strategies. These overlying problems leave a knowledge gap that should be explored further. Multi-scaled stratagems are sometimes implemented and this requires to go through a best practice approach. There are discrepancies between temperature models, for instance, whether they operate at city scale or at street scale. This is comprehensible since each model is programmed for specific research purposes. Nevertheless, some attention needs to be paid to these overlapping issues in order to target more efficient and reliable output results. One way of tackling the issue is through analysing key spatial features and different parameterization schemes in accordance to the applied governing equations that act on every temperature model. Land use, street canyons and buildings were defined as key spatial features that generate relevant urban parameters for aerodynamic and thermodynamic surface forcing. The approach adopted in this paper hires the vision established in the UK EPSRC funded project on the development of a local urban climate model for the intelligent design of cities (LUCID) and it employs its different physics and other based temperature models. The LUCID temperature models worth investigating whether there is a possible lack of synergy behind their application and it needs to highlight some of the reasons behind inconsistencies in output results. The LUCID models were therefore used.