Abstract

NASA’s carbon dioxide mission, Orbiting Carbon Observatory-2, began operating in September 2014. In this paper, we analyze four years (2015–2018) of global (60°S–60°N) XCO2 anomalies and their annual variations and seasonal patterns. We show that the anomaly patterns in the column-averaged CO2 dry air mole fraction, XCO2, are robust and consistent from year-to-year. We evaluate the method by comparing the anomalies to fluxes from anthropogenic, biospheric, and biomass burning and to model-simulated local concentration enhancements. We find that, despite the simplicity of the method, the anomalies describe the spatio-temporal variability of XCO2 (including anthropogenic emissions and seasonal variability related to vegetation and biomass burning) consistently with more complex model-based approaches. We see, for example, that positive anomalies correspond to fossil fuel combustion over the major industrial areas (e.g., China, eastern USA, central Europe, India, and the Highveld region in South Africa), shown as large positive XCO2 enhancements in the model simulations. We also find corresponding positive anomalies and fluxes over biomass burning areas during different fire seasons. On the other hand, the largest negative anomalies correspond to the growing season in the northern middle latitudes, characterized by negative XCO2 enhancements from simulations and high solar-induced chlorophyll fluorescence (SIF) values (indicating the occurrence of photosynthesis). The largest discrepancies between the anomaly patterns and the model-based results are observed in the tropical regions, where OCO-2 shows persistent positive anomalies over every season of every year included in this study. Finally, we demonstrate how XCO2 anomalies enable the detection of anthropogenic signatures for several local scale case studies, both in the Northern and Southern Hemisphere. In particular, we analyze the XCO2 anomalies collocated with the recent TROPOspheric Monitoring Instrument NO2 observations (used as indicator of anthropogenic fossil fuel combustion) over the Highveld region in South Africa. The results highlight the capability of satellite-based observations to monitor natural and man-made CO2 signatures on global scale.

Highlights

  • The first routine measurements of atmospheric carbon dioxide (CO2) were started at Mauna Loa Observatory in 1958 by Charles David Keeling

  • The objective of this paper is to describe the spatio-temporal variability of the XCO2 anomalies solely using satellite observations

  • We analyze the XCO2 enhancements related to fossil fuel combustion and biospheric fluxes corresponding to the Orbiting Carbon Observatory-2 (OCO-2) sounding footprints using the Lagrangian FLEXPART model

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Summary

Introduction

The first routine measurements of atmospheric carbon dioxide (CO2) were started at Mauna Loa Observatory in 1958 by Charles David Keeling. 60 years later, atmospheric CO2 concentrations are measured all over the world and show levels that are about 100 ppm higher than they were in 1958, when they were about 315 ppm. A variety of methods are commonly used to derive CO2 fluxes from spatially resolved estimates of column-averaged CO2 dry air mole fraction, XCO2. These methods can be broadly classified as analytic mass balance, plume dispersion, or atmospheric inversion methods. The main advantage of space-based observations is that they can provide high spatial and temporal resolution on global scale with the same measurement device. The inverse modeling systems that estimate CO2 fluxes from atmospheric measurements, can assimilate information from all available measurement types

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