EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Multi-scale Atmospheric CO2 Variabilities over Southern Africa

Boipelo B Thande, Gizaw Mengistu Tsidu, and Anteneh Getachew Mengistu
Boipelo B Thande et al.
  • Botswana International University of Science and Technology, Science, Earth and Environmental Sciences, Palapye, Botswana (

Carbon sinks play an important role in absorbing almost half of the CO2 emissions emanating from anthropogenic activities. However, regional contributions of atmospheric CO2 are not well known in Southern Africa. This is partly attributed to a shortage of in-situ data, data gaps, and limitation in the theory in modeling atmospheric CO2 dynamics. The shortage of in-situ observations and poor model skills have created a need for assimilation of observations into models to assess the variability of atmospheric levels in near real-time globally. In this study, we investigated the variabilities of XCO2 at multi-temporal scales based on reanalysis data from the carbon tracker (CT) assimilation model over Southern Africa from the year 2000 to 2016. The ensemble empirical mode decomposition (EEMD) statistical technique was used to decompose the CO2 time series into signals with different periodicities. The results demonstrate that the different component signals are driven by atmospheric, surface and oceanic forcings (e.g., rainfall, temperature, soil moisture, and SST).

How to cite: Thande, B. B., Mengistu Tsidu, G., and Getachew Mengistu, A.: Multi-scale Atmospheric CO2 Variabilities over Southern Africa, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13171,, 2020

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