Atmosphere

The rise in atmospheric greenhouse gases is the primary driver of climate change. Closely monitoring the chemical composition and physical properties of the atmosphere is therefore critical to understanding climate change. However, the broad variety of monitoring methods often makes it difficult to identify global climate trends due to noncomparable datasets.

Our atmosphere section covers the metrological contribution to support in situ observations of the Global Climate Observing System Atmospheric Essential Climate Variables (ECVs).

The observations include measurements of the atmospheric composition (e.g. greenhouse gas, ozone and aerosol observations) and physical properties of surface and upper-air atmosphere (e.g. temperature, pressure, water vapour and wind speed and direction observations). This metrological contribution − through traceable reference standards − aims to ensure accurate, stable and coherent observation datasets. As a result, we expect worldwide comparable data to become available, facilitating the identification of long-term climate trends and, in turn, the implementation of effective mitigation strategies for those trends.

Case Studies

Examples of measurement science for atmosphere can be found in the selected case studies below:

Improving the measurements used to protect atmospheric ozone

Atmospheric ozone protects the Earth from harmful UV radiation. However, human activity has depleted atmospheric levels, weakening this ‘protective 'shield’. Spectrophotometers which measure ozone are based on designs from the 1970s and 1980s, while instrumentation offering the potential for improved measurements lacked metrological verification fo...
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Standard to certify zero gas purity

Precise measurements are needed to track the effectiveness of environmental legislation. For example, across Europe air monitoring stations sample air quality, but the comparability of the data collected was compromised by the quality of reference gases used to calibrate instrument zero-points. Documentary standards could support regulation and inn...
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Forecasting snow-related hazards

The extreme environments of high mountain regions cause a range of natural hazards. Weather conditions introduce risks, creating avalanches from snow cover or downstream river floods from meltwaters. To help assess these risks, networks of weather stations monitor local conditions. Temperature data is a key input for hazard forecasting, but measure...
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Weather Data for Climate Change

To understand climate change, scientists need detailed data on many different environmental parameters. Data on temperature, humidity and pressure – currently captured by weather stations for forecasting – could provide important additional data for climate monitoring. But to use this data reliably, climate scientists need confidence that measureme...
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Improved Climate Change Monitoring

Climate change presents many challenges to society, including the effects of global warming and an increase in severe weather event frequency. Data from weather stations generated for short-term forecasting could be used to identify climate change trends, but higher quality measurements are needed. To achieve more accurate air temperature measureme...
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New Arctic Meteo in-situ calibration

Accurate assessment of climate change relies on a world-wide network of monitoring stations that provide the high-quality data used in climate models to produce climate predictions. This requires measurements of internationally agreed essential climate variables, such as pressure, temperature and humidity, which must be comparable regardless of whe...
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