Abstract

Abstract. The seasonal cycle accounts for a dominant mode of total column CO2 (XCO2) annual variability and is connected to CO2 uptake and release; it thus represents an important quantity to test the accuracy of the measurements from space. We quantitatively evaluate the XCO2 seasonal cycle of the Greenhouse Gases Observing Satellite (GOSAT) observations from the Atmospheric CO2 Observations from Space (ACOS) retrieval system and compare average regional seasonal cycle features to those directly measured by the Total Carbon Column Observing Network (TCCON). We analyse the mean seasonal cycle amplitude, dates of maximum and minimum XCO2, as well as the regional growth rates in XCO2 through the fitted trend over several years. We find that GOSAT/ACOS captures the seasonal cycle amplitude within 1.0 ppm accuracy compared to TCCON, except in Europe, where the difference exceeds 1.0 ppm at two sites, and the amplitude captured by GOSAT/ACOS is generally shallower compared to TCCON. This bias over Europe is not as large for the other GOSAT retrieval algorithms (NIES v02.21, RemoTeC v2.35, UoL v5.1, and NIES PPDF-S v.02.11), although they have significant biases at other sites. We find that the ACOS bias correction partially explains the shallow amplitude over Europe. The impact of the co-location method and aerosol changes in the ACOS algorithm were also tested and found to be few tenths of a ppm and mostly non-systematic. We find generally good agreement in the date of minimum XCO2 between ACOS and TCCON, but ACOS generally infers a date of maximum XCO2 2–3 weeks later than TCCON. We further analyse the latitudinal dependence of the seasonal cycle amplitude throughout the Northern Hemisphere and compare the dependence to that predicted by current optimized models that assimilate in situ measurements of CO2. In the zonal averages, models are consistent with the GOSAT amplitude to within 1.4 ppm, depending on the model and latitude. We also show that the seasonal cycle of XCO2 depends on longitude especially at the mid-latitudes: the amplitude of GOSAT XCO2 doubles from western USA to East Asia at 45–50° N, which is only partially shown by the models. In general, we find that model-to-model differences can be larger than GOSAT-to-model differences. These results suggest that GOSAT/ACOS retrievals of the XCO2 seasonal cycle may be sufficiently accurate to evaluate land surface models in regions with significant discrepancies between the models.

Highlights

  • Space-based observations of column mean dry mole fraction of carbon dioxide (XCO2) provide unprecedented spatial coverage of the variability of atmospheric carbon dioxide

  • Three independent approaches were used for the evaluation of the XCO2 seasonal cycle: comparisons against the Total Carbon Column Observing Network (TCCON), other Gases Observing Satellite (GOSAT) retrievals (UoL v5.1, NIES v02.21, NIES PPDFS v.02.11, and RemoTeC v2.35), and comparisons to optimized inversion models that assimilate in situ measurements of CO2

  • We found that Atmospheric CO2 Observations from Space (ACOS) captures the seasonal cycle amplitude of TCCON with an accuracy of better than 1.0 ppm at most of the 12 TCCON sites in the Northern Hemisphere and all four sites in the Southern Hemisphere considered in this study

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Summary

Introduction

Space-based observations of column mean dry mole fraction of carbon dioxide (XCO2) provide unprecedented spatial coverage of the variability of atmospheric carbon dioxide. XCO2 shows temporal variability on different timescales: diurnal, synoptic, seasonal, interannual, and long term (Olsen and Randerson, 2004; Keppel-Aleks et al, 2011). Variability is determined by the collective impact of CO2 fluxes resulting from fossil fuel emissions, biosphere–atmosphere exchange, and ocean–atmosphere exchange. Significant variability is driven by atmospheric dynamics acting upon the gradients produced by the varying fluxes. While the secular trend and multi-year interhemispheric CO2 gradient are driven by the global build-up of CO2 from fossil fuel combustion mainly in the Northern Hemisphere, the seasonal variability is mainly controlled by variations in the terrestrial biospheric fluxes (Palmer et al, 2008; Keppel-Aleks et al, 2011). The seasonally varying ocean–atmosphere and fossil fuel CO2 fluxes are only minor contributors to the XCO2 seasonal variability in the Northern Hemisphere. The seasonal cycle of XCO2 bears the signature of large-scale biospheric flux patterns, especially their north–south distribution

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