14 MIN. READ

City Climate - Modern City Climate Monitoring for Smart Cities

May 20, 2021 5:45:44 PM - Written by Dr. Sebastian Schlögl


As early as in the 19th century, people recognized that the air quality in rural areas was much better than in urban areas. Nowadays, cities worldwide cope with challenges such as air pollution, extreme air temperatures, and heavy precipitation. In the future, these problems will occur more often due to climate change. This trend will result in an unknown amount of economic damage and endanger the life and health of the cities’ populations.



"Cities should be built in the countryside; the air is better."
Henry Monnier (1799 - 1877)



Climate Change is real

In many parts of the world, heatwaves presently kill more people than any other natural hazard, and there is a strong observable tendency for this phenomenon to increase. The Swiss journal NZZ published an article in September 2020, describing that Zurich, Switzerland, was not originally constructed for the Mediterranean climate zone, in which it now lies. It estimated that in Zurich alone, the reduction of work productivity due to heatwaves in summer 2019 caused economic damage of almost 500 million Euro. This is more than 10 times as much as the economic damage caused by influenza, and it shows the importance and urgency of improving the local city climate by sustainable climate change mitigation strategies.

The meteoblue city climate monitoring system

The new meteoblue city climate monitoring system provides cities with an affordable infrastructure to precisely measure, forecast, and model their city climate in real-time, creating a reliable information basis for the city planners, decision-makers, and citizens. The system has been tested in Switzerland for two seasons and is expected to evolve rapidly in 2021 in co-development with universities and further partner cities.

Several other city climate systems have been established in the last years, mostly focusing either on a measurement network with high-quality measurement devices or on high-resolution numerical modeling. The newly launched meteoblue system combines both approaches in an accurate, real-time and affordable manner.

Instead of using a high-cost measurement network with a small number of stations deployed in the city, the meteoblue system uses a large number of cost-effective sensors, allowing for measuring in a great number of locations such as street canyons and regions where high-quality measurements cannot be installed due to technical restrictions (e.g., the provisioning of an electrical connection). Meteorological measurements in street canyons have the advantage of being placed in the very area where people spend time, and where the air temperatures are typically highest. Modern data transmission techniques (LoRaWan and NB-IoT) allow a shift from the older GSM data transmission towards a modern, energy-efficient and economical measurement network.

The system offers several parallel applications:

  • Real-time updates and forecasts for the interested users from the general public. These can be initiated immediately after system implementation and can be delivered via websites, mobile apps or other customer interfaces.
  • Historical data for decision-makers (e.g., managers of traffic, parks, schools, retirement facilities, and others), based on historical time series, hyper-local simulations, or year-comparisons.
  • Climate simulations for city planners, based on calibrated modeling for actual and future scenarios, and for various planning options.

For long-term planning, the city climate monitoring system can be implemented in four phases:

  1. In the first phase of the project, a precise city climate situation analysis is created by implementing the measurements system. This requires one year and can include the planning scenarios.
  2. In the second year, the first mitigation strategies are developed based on city climate simulations, and possibly the initial test cases can be implemented.
  3. In the third phase, the implemented climate change mitigation strategies are validated with the meteoblue real-time measurement network (year 3-4) and adjusted where necessary.
  4. The system is then operated continuously to further develop prevention, mitigation and adaptation strategies as well as related services. Cities may decide to start directly in phase three (if climate change mitigation strategies are already developed) or start in the first phase.

Implementation of climate change mitigation strategies (e.g., pavement whitening or rooftop greening by planting trees, constructing irrigation systems and fountains, de-sealing of surfaces) in cities will be costly (in the multi-million € range per city), and time-consuming, but necessary in order to preserve the populations’ quality of life in cities beyond the year 2050. Monitoring the impact of the city climate strategies is a key measure to ensure the effectiveness of the investments. The costs for the meteoblue City Climate monitoring system will be below 1 ‰ of the mitigation costs, and therefore very well invested if they increase the effectiveness of the climate change mitigation strategies even by 1%.

Climate change mitigation strategies for cities are an area currently undergoing rapid development. The meteoblue city climate monitoring system will help to accelerate this process and offer advice to decision-makers in cities while preventing mistakes in potential unsuitable climate change mitigation strategies.

City Climate use cases

The meteoblue city climate system offers management tools for heatwaves, drought and flood warnings (especially in cities located in tropical regions), as well as for air pollution. For these purposes, the meteoblue city climate system focuses on the three main meteorological variables: air temperatures, precipitation and wind speed.

Thereby, it can be beneficial for various market segments, such as construction planning and regulations, traffic and road maintenance, urban planning, insurance companies, department stores and others.

The meteoblue city climate system comprises several different modules, which can be chosen based on the requirements of each city separately (see Figure 1).

Modular structure of the meteoblue city climate monitoring system

Figure 1: Modular structure of the meteoblue city climate monitoring system.

Installation of a high-resolution measurement network

In the first step, meteorological sensors are installed (or if a partner or public network already exists, the current sensors are utilized) in the city and in surrounding areas. The number of meteorological stations required to cover the small-scale climate variability within the city largely depends on the size and heterogeneity of the city, and also on the available transmission network (GSM, LoRa, NB-IoT, SigFox). The placement of the individual sensors within the urban area is determined by the need for coverage of all local climate zones (measurements in parks, street canyons, frequently visited places, etc.) and ensures the best coverage at the minimum possible cost. In our experience, after optimization of the placement, more than 95% of the sensors provided continuous reporting. During our measurement campaign, we lost only 2% of the sensors over the course of one year, and less than 1% of the sensors were destroyed, indicating that the threat of vandalism is overestimated.

The cost-effective measurement devices in operation are validated in real-time against standard high-quality meteorological measurements in order to ensure the best possible quality of the measurement network. After data transmission, measurements need to be quality-controlled, gap-filled and homogenized in the meteoblue data management tool in order to ensure continuous, coherent and error-free data.

Results of a high-resolution measurement network

More than 300 low-cost temperature and precipitation sensors have been installed in the Swiss cities of Basel and Zurich (see Figure 2) in 2019 and 2020. They showed differences of up to 8°C within the cities and up to 80 mm/day of precipitation within a few kilometres.

Scientific studies corroborate that air temperatures in the city are on average 3°C higher than in the surrounding rural areas, the “urban heat island” effect. The meteoblue city climate monitoring system confirms these urban heat island effects in Basel and Zurich with high local differentiation of 10x10 metres and shows that the largest air temperature differences between urban and rural areas occur after sunset. The cause of this phenomenon is the energy of the sunlight stored in buildings and sealed surfaces during the day. After sunset, this energy is released in the form of heat, leading to higher air temperatures in the cities in comparison with rural areas, where this additional energy release does not occur.

Measurement device at Basel railway station

Figure 2: Measurement device at Basel railway station (left). Measurement network for Basel (middle) and Zurich (right).

Bringing the weather to each doorstep via high-resolution modeling

The meteoblue city climate monitoring system uses measurements, satellite images and artificial intelligence to precisely model air temperatures, precipitation and wind speed for every 100 square metres, bringing the weather to each doorstep. Clients can use the city climate monitoring system to visualize air temperature, precipitation or wind speed data for single points of interest (e.g., home address, working address, etc.), local areas, or for the entire city (city map). Meteorological data are available for real-time application, as well as for historical analysis. Additionally, meteoblue offers a city-specific air temperature forecast for the following 6 days.

The City Climate system provides different interfaces, such as data transmission via API or FTP server. Additionally, dozens of other meteorological variables and applications are available free of charge on meteoblue website and app. 

The current air temperature model error (for grid interpolation) is below 1°C for 60 – 80 % of the city area (Figure 3), and slightly varies depending on the heterogeneity of the city. Therefore, the air temperature error in The Hague is smaller than in e.g., Madrid. These errors are relatively slight (<20%) as compared to heat island differences within the city, and therefore enable excellent detection and tracking of local changes and measures.

Air temperature accuracy

Figure 3: Air temperature accuracy (Mean Absolute Error) for ten different cities as a function of the city area.

Uncertainties in air temperature measurements can exceed 0.5°C within just a few metres. For ex­amp­le, a sensor on the sunny side of a building typically measures higher air temperatures than on the shady side. Additionally, the surface above which the sensor is placed influences the measurement results, too. Sensors located above grass surfaces typically measure lower air temperatures than sensors placed above sealed surfaces, especially at night. The interpolation to highest resolution grids detects these differences on an almost square metre basis.

Steady developments of the current city climate models ensure local learnings and continued improvements.

Scientific tools to decide on climate change mitigation strategies

The meteoblue City Climate monitoring system also provides specific features for decision-makers, for example, urban heat island maps (Figure 4) or climate change scenario maps (Figure 5). These scientific tools help the stakeholders to decide on suitable climate change mitigation strategies.

To provide a case study: the urban heat island map for Zurich indicates cold (blue) and warm (red) regions within the city. The city center of Zurich is on average 3°C warmer than the surrounding rural areas. The air temperatures in hilly regions (e.g., Uetliberg or Zurichberg) are cold pools (indicated by the blue colors) in the surrounding Zurich urban area. Additionally, parks and cold air flows from the adjacent hills are easily detectable by the urban heat island map.

Urban heat island for Zurich in summer 2019

Figure 4: Urban heat island for Zurich in summer 2019.

Climate change is real, and scientists agree that the mean global air temperatures will rise significantly in the duration of the 21st century. Different representative concentration pathways, or “emission scenarios”, estimate the future global air temperatures based on anticipated greenhouse gas emissions and other factors, such as future population level, economic activity, etc. spanning a wide range of future developments. Figure 5 describes the probability of heat days (maximum daily air temperature above 30 degrees Celsius) during the summer months of June, July and August by using the most pessimistic RCP8.5 emission scenario. The probability of heat days increases on average from 5 % (today) to 10 % (2035), 20 % (2060) and 30 % (2085) for the city Zurich.

Probability of heat days

Figure 5: Probability of heat days now, 2035, 2060 and 2085 for the RCP8.5 emission scenario.

Based on this scenario, the city climate model can calculate location-specific changes of the heat day probability in Zurich and the surrounding areas for every 100 m². This location-specific analysis allows for comparing two (or more) different points within the city. For example, the probability of heat days in 2085 at the Uetliberg (869 m asl.) is as high as the probability of heat days in the city center (408 m asl.) today, indicating an equivalent of elevation shift of around 400 m towards the end of the century.

In summary, air temperatures and heatwave duration will further increase. Since the natural climate variability will still alternate between hotter and cooler summers, probabilities of heat days are calculated instead of absolute values.

It’s time to act now

Decision-makers of city councils have little influence on the ongoing trend of increasing mean global air temperatures. The decision whether mean global air temperatures will rise by 2 or 5°C at the end of the 21st century in comparison with the pre-industrial era is not taken by city councils, but rather by countries and societies at large, and their overall rate of CO2 emission reduction.

However, local government bodies can contribute to a better local city climate. Cities can lower the urban heat island effect through suitable climate change mitigation strategies (rooftop-greening, irrigation, pavement-whitening) based on a realistic assessment. The baseline can be established with the city climate monitoring system, and mitigation strategies can be assessed in the second phase and their effectiveness validated in the third phase.

The knowledge of suitable climate change mitigation strategies and their validation with the meteoblue city climate monitoring system will help smart cities to keep their status of attractive places to live in the future, as opposed to cities with no effective adaptation strategies.

A smart climate monitoring system will assist in achieving these goals in the most targeted, rapid, and cost-effective way. Now it is the best possible time to take action and become a smart and climate-friendly city – via a small investment with a high pay-off in the future.

SHOW ME MORE ABOUT CITY CLIMATE MONITORING


Note: This article is a sponsored guest content by meteoblue AG.  //  Images: meteoblue AG



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Dr. Sebastian Schlögl

Written by Dr. Sebastian Schlögl

Dr. Sebastian Schlögl is Head of Meteorology at the Swiss weather company meteoblue AG. He is an expert in micro meteorology and climate change simulations and leads the city climate project.

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