Abstract

Abstract. NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite launched in summer of 2014. Its observations could allow scientists to constrain CO2 fluxes across regions or continents that were previously difficult to monitor. This study explores an initial step toward that goal; we evaluate the extent to which current OCO-2 observations can detect patterns in biospheric CO2 fluxes and constrain monthly CO2 budgets. Our goal is to guide top-down, inverse modeling studies and identify areas for future improvement. We find that uncertainties and biases in the individual OCO-2 observations are comparable to the atmospheric signal from biospheric fluxes, particularly during Northern Hemisphere winter when biospheric fluxes are small. A series of top-down experiments indicate how these errors affect our ability to constrain monthly biospheric CO2 budgets. We are able to constrain budgets for between two and four global regions using OCO-2 observations, depending on the month, and we can constrain CO2 budgets at the regional level (i.e., smaller than seven global biomes) in only a handful of cases (16 % of all regions and months). The potential of the OCO-2 observations, however, is greater than these results might imply. A set of synthetic data experiments suggests that retrieval errors have a salient effect. Advances in retrieval algorithms and to a lesser extent atmospheric transport modeling will improve the results. In the interim, top-down studies that use current satellite observations are best-equipped to constrain the biospheric carbon balance across only continental or hemispheric regions.

Highlights

  • The Orbiting Carbon Observatory 2 (OCO-2) satellite launched on 2 July 2014 and is NASA’s first mission dedicated to observing CO2 from space

  • Prior to the OCO-2 satellite launch, several studies modeled the XCO2 signal from surface fluxes (e.g., Olsen and Randerson, 2004) and the measurement precision required for spacebased constraints on CO2 fluxes (e.g., Rayner and O’Brien, 2001)

  • Many top-down, inverse modeling studies report monthly flux totals, so all of the analysis presented here is aggregated to 1-month averages

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Summary

Introduction

The Orbiting Carbon Observatory 2 (OCO-2) satellite launched on 2 July 2014 and is NASA’s first mission dedicated to observing CO2 from space. The satellite measures the absorption of reflected sunlight within CO2 and molecular oxygen (O2) bands at near-infrared wavelengths. These measurements are analyzed with remote sensing retrieval algorithms to yield spatially resolved estimates of the columnaveraged CO2 dry air mole fraction, XCO2. OCO-2 observes in the near-infrared, and its observations have sensitivity throughout the entire troposphere with highest sensitivity near the surface (e.g., Eldering et al, 2017a). Each OCO-2 observation has a footprint ∼ 2.25 km in width, and the satellite can collect eight observations across a single swath (Eldering et al, 2017a). Each GOSAT observation, by contrast, has a footprint ∼ 10 km in width, and the satellite collects a single sounding every 250 km (Yokota et al, 2009).

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