High resolution real-time weather forecasting

With over 50% of the world population living in cities and a projected two-thirds of the population living in cities in 2030 (UN-Habitat), accurate weather forecasting becomes an important tool to respond timely and mitigate risks in cities. Extensive conurbations like the Pearl River Delta, Tianjin-Beijing, Yangtze River Delta, New York-Boston and (mega) cities like Tokyo, Sao Paulo, Jakarta, Manila, Los Angeles, Lagos, London, Hanoi, Bangalore have important features in common: dense populations, impervious built surfaces, significant emissions of pollutants, heat and waste, etc.(WMO). Large urban areas have differentiated weather patterns distributed across the city or metropolitan area. High resolution real-time weather forecasting becomes ever more important in order to forecast impacts, to communicate timely to urban populations at risk and to take right decisions in deploying emergency services in cities. It can also provide the evidence for adaptation measures among others the location of flood retention areas or the implementation of smart sewage systems that can be controlled as needed. High resolution weather forecasting can also provide diversified data on energy consumption and production of different neighbourhoods in the city and the way smart grids should respond to distributed peaks. In an urbanised world the weather forecast can no longer be seen as an external factor as the urban atmospheric conditions are impacted by emissions, pollution, heat island effects, urban form and other environmental factors. High resolution weather forecasting is increasingly focusing on air quality in addition to temperature, humidity and precipitation which is a signal that urban meteorology, climate and environmental research could evolve in more integrated city services (Urban Climate, Baklanov, Grimond). High resolution real-time weather forecasting for urban areas is a field that requires not only the technical instruments, data collection and interpretation, but also sophisticated comparative analysis between urban datasets available in cities, accurate algorithms, policies and governance models for risk mitigation.
Picture: Antony Pratap CC2.0