Urban climate adaptation programmes repeatedly encounter the difficulty that, once a mitigation measure such as a reflective pavement or a cool soil layer is installed, there is no simple, low threshold way to verify whether it actually delivers the promised thermal benefits. Existing approaches rely on costly expert consultancy and lengthy post occupancy studies, making it hard for municipalities, designers and citizens to move from design assumptions to evidence-based proof of performance.  

The data driven tool created within the MULTICLIMACT project directly addresses this gap. By ingesting onsite monitoring data, such as weather variables and surface temperature, it automatically builds a Resistance Capacitance1 (RC) model that characterises the thermal behaviour of the ground solution and produces a set of comfort related KPIs, e.g., operative temperature. The result is a rapid, cost-effective assessment that transforms raw measurements into actionable knowledge while drastically reducing the need for specialised modelling expertise and the expense associated with expert time.  

The tool is delivered as a standalone software application. Users first load the measured weather and surface temperature time-series. The RC engine then calibrates its parameters to reproduce the observed thermal response during a short reference period and automatically validates the model. Once calibrated, the model uses short-term weather forecasts as input to predict the next 24 hours of surface temperature. From these predictions the software computes operative temperature and other comfort related KPIs, presenting the results in tables, charts and machine-readable files (JSON or CSV).  

Fig. 1. Time-series plots corresponding for a validation period.
Observed and predicted surface temperature (1st row), residuals of the model (2nd row), ambient temperature (3rd row), and solar radiation (4th row). 

At present the application is not publicly accessible; it has reached a “technically mature” stage and will undergo final validation in the last phase of the project. Validation will be carried out on the Barcelona demo site, where an innovative pavement solution will be installed and monitored. The generated RC model and its KPIs will be compared with the measured performance of the pavement, allowing the team to finetune the algorithm and to collect concrete feedback from local authorities, municipal engineers and research partners involved in the site.  

The primary users are public-sector stakeholders and citizens engaged in urban heatstress mitigation: urban planners, municipal engineers, architects, building designers, energy performance consultants, researchers in urban climate and resilience, and community organisations interested in heatstress reduction.

By providing quick, databased assessments, the tool enables these users to validate design assumptions with empirical evidence, generate reliable KPIs required for reporting, funding applications and policy compliance, and support evidence based decision-making for future climate proofing projects.  

The solution is being tested within the MULTICLIMACT Italian demo site. The testing activities are carried out in close collaboration with several project partners, including CYPE, ENEA, UNIVPM, UKA, RINA, and UNICAM, who contribute from both technical and research perspectives.