LONG-TERM MONITORING OF NEAR-SURFACE CO2 LEVELS
Carbon dioxide (CO2) is a major greenhouse gas that significantly influences the Earth’s climate. Long-term monitoring of atmospheric CO2 is essential for tracking changes in atmospheric composition, the global carbon cycle, and climate variability. Consistent measurement over time enables the identification of long-term trends, seasonal cycles, interannual variability, and anomalies associated with environmental disturbances.
In 2024, the global average CO2 concentration reached a record high of 422.7 ppm, about 50% higher than pre-industrial levels in the 1950s. Human activities emit more CO2 than natural processes can absorb, causing a sustained rise in atmospheric CO2. Long-term observations are crucial for quantifying this increase and understanding its impact on the Earth’s climate system. Regional-scale CO2 measurements in India are important because they help reveal how natural and anthropogenic changes influence the national carbon cycle. Unlike global background observations, regional measurements can capture seasonal differences. In this regard, at Shadnagar, India, long-term atmospheric CO2 observations are collected at the Climate Research Laboratory for Atmosphere (CRL-A) of NRSC-ISRO, located approximately 65 km from Hyderabad. Measurements are acquired at a high temporal frequency of 1 Hz using a high-precision greenhouse gas analyser instrument.
Continuous monitoring of surface-level atmospheric CO2 concentration at Shadnagar: A graphical history
Fig.1 Monthly Variability of Near-Surface Atmospheric CO2 (in ppm) at Shadnagar, India
Figure 1 illustrates the monthly variation in atmospheric CO2 concentration at Shadnagar, India, over a 13-year period (July 2013 to August 2026). Each box depicts the range of CO2 measurements for a given month, with the central line indicating the median and the box encompassing the interquartile range (middle 50% of observations). The vertical whiskers represent the spread of CO2 values within each month after outlier removal, reflecting the variability in hourly concentrations. Box colors correspond to the monthly mean CO2 concentration, with blue denoting lower values, red indicating higher values, and intermediate colors representing concentrations between these extremes. The black dashed line with circles denotes the monthly mean CO2 concentration, with each point representing a specific month. The upward trend of this line demonstrates a general increase in atmospheric CO2 over the observation period, despite short-term fluctuations. The overall mean atmospheric CO2 concentration from July 2013 to August 2026 was 414.42 ± 15.96 ppm, exhibiting a pronounced seasonal cycle and a clear long-term increasing trend. The annual mean CO2 concentration exhibited a statistically significant increasing trend of 2.56 ± 0.27 ppm yr⁻¹, indicating a persistent long-term rise in atmospheric CO2 at this site.
Fig.2 Mean Monthly Cycle of near-surface atmospheric CO2 concentration at Shadnagar, India (2013-2026).
Figure 2 presents the typical seasonal pattern of atmospheric CO2 at Shadnagar, based on observations collected from July 2013 to August 2026. Data from all available years are grouped by month to illustrate the annual variation in CO2 concentrations. The blue line with circles indicates the mean seasonal cycle, calculated from multi-year observations, while the shaded blue area represents the variation in CO2 across years for each month. A wider shaded region signifies greater interannual variability, whereas a narrower region indicates more consistent CO2 levels. The amplitude of 13.067 ± 2.021 ppm quantifies the typical seasonal variation in CO2.
CO2 concentrations are highest during spring, particularly in April and May, and reach their lowest levels between July and September. Elevated concentrations during the pre-monsoon period are likely associated with increased CO2 release from respiration and other sources, as well as atmospheric conditions that promote accumulation. In contrast, lower concentrations during the monsoon period may result from enhanced photosynthetic uptake by vegetation and changes in atmospheric mixing and transport.
Long-term CO2 records offer critical insights into carbon exchange processes among the atmosphere, vegetation, soils, oceans, and anthropogenic sources. Atmospheric CO2 concentrations reflect the balance between sources, including respiration, fossil-fuel combustion, and fires, and sinks such as photosynthesis, ocean uptake, and ecosystem storage. Additional factors, including climate variability, vegetation dynamics, land use, emissions, atmospheric transport, and boundary-layer processes, further influence the spatial and temporal variability of CO2. Observations across diverse ecosystems and Indian climate zones are essential for understanding CO2 variability and serve as valuable reference data for evaluating satellite products such as OCO-2 and GOSAT, atmospheric transport models, and machine-learning-based CO2 estimates. These data also support the development of national policies, including those discussed at the Conference of the Parties (COP), to mitigate greenhouse gas emissions in alignment with Sustainable Development Goal 13 (SDG-13).
For more details, please refer the following article: Rashmitha, Y., Pathakoti, M., Asuri, K. L., Dangeti, M. V., Jayachandran, G. P., Kusuma, M. R., Goru, S., Shaik, I., Kuttippurath, J., Pushpanathan, R., & Chauhan, P. (2026). Long-term seasonal variations of atmospheric CO2 against meteorology and fossil fuel emissions at suburban site of India (Shadnagar). Advances in Space Research. Visit here.