Validation of Satellite and Ground-Based Ozone Measurements
Summary
Ozone in the Earth’s atmosphere plays a critical dual role: in the stratosphere it shields life from harmful ultraviolet radiation, while in the troposphere it acts as a pollutant and greenhouse gas. Monitoring the global distribution and temporal evolution of ozone therefore relies on a combination of satellite instruments and ground-based spectrometers. Satellite sensors provide unparalleled spatial coverage but require rigorous cross-checking against reference measurements at fixed locations. Ground-based networks, employing instruments such as Dobson and Brewer spectrophotometers or differential optical absorption systems, deliver high-accuracy total column and profile data but are spatially sparse. Validation efforts reconcile differences arising from measurement geometry, retrieval algorithms, spectral sensitivity and atmospheric smoothing. Robust intercomparisons and error‐budget analyses ensure that long-term ozone trends and short-term anomalies are detected reliably, underpinning climate assessments, ozone recovery studies and air-quality applications worldwide.
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Validation of Satellite and Ground-Based Ozone Measurements publication trend
The graph below shows the total number of articles in validation of satellite and ground-based ozone measurements across all publications each year (not limited to Nature Index journals).
Technical terms
Total ozone column (TOC): The integrated amount of ozone above a given location, expressed in Dobson units (DU).
Fourier-transform infrared spectroscopy (FTIR): A technique measuring molecular absorption of thermal infrared radiation to retrieve gas concentrations.
Differential Optical Absorption Spectroscopy (DOAS): A method that derives trace-gas columns by analysing wavelength-dependent absorption features in scattered sunlight.
Retrieval algorithm: A computational procedure that converts measured radiances or spectra into geophysical quantities such as ozone concentration.
Bias: A systematic deviation between two measurement methods or instruments.
Standard deviation: A statistical metric quantifying the spread of differences between datasets.
Co-location mismatch: Differences arising when satellite and ground observations do not sample the exact same air mass in space or time.
Smoothing error: Uncertainties introduced when comparing high-resolution ground data with satellite products that average over larger spatial scales.
References
- Six Years of IKFS-2 Global Ozone Total Column Measurements. Remote Sensing (2023).
- TROPOMI/S5P total ozone column data: global ground-based validation and consistency with other satellite missions. Atmospheric Measurement Techniques (2019).
- Validation of the IASI FORLI/EUMETSAT ozone products using satellite (GOME-2), ground-based (Brewer–Dobson, SAOZ, FTIR) and ozonesonde measurements. Atmospheric Measurement Techniques (2018).
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