URCLIM

 

Title

 

URban CLIMate services

Lead PI Masson Valéry, Météo France, France

 

 

Research Performing agencies  Météo France, CNRS, IGN, RMI, FMI, KNMI, Meteo-Ro

Abstract

While already just over 50% of the world population lives in cities, it is expected that on balance practically all population growth up to 2050 is in cities, for approx. 6.5 billion in total. Cities are particularly vulnerable to climate change, because of the concentration of population, goods, capital stock, and infrastructures. Furthermore, cities are a main emitter of greenhouse-gases, as the high concentration of human activities, like transport and industry, entails high levels of energy consumption. Therefore, city actors, especially planners, are facing numerous and sizeable climate change related challenges, while having to manage and plan their city development in a sustainable and climate proof way. In such a complex multi-dimensional and multi-objective decision environment pertinent and clear, decision relevant information is indispensable for urban planners and related stakeholders. However climate information is mostly provided by climate models at spatial scales much larger than the (sub) urban scales at which mitigation and adaptation measures are to be realized. The ambition of the URCLIM project is to advance significantly on Urban Climate Services (UCS), for urban planners and related stakeholders using open urban data and regional climate data. In order to realize this goal, the project has 4 scientific objectives : 1) To develop a methodology for the creation of high resolution  maps of urban parameters for climate studies 2) To analyse the propagation of uncertainty from regional climate models to urban scale climate models and local impact models, 3) To evaluate multi-criteria impacts and various types of adaptation strategies, 4) To define pertinent Urban Climate Services in cooperation with stakeholders, and using  a visualization interface. Several case studies will also be chosen, each located in a different climate, influenced by different geographical features, and with a different urban history and structure.