Abstract

This study presents a new conceptual approach to estimate total column mole fractions of CO2 and CH4 using partial column data. It provides a link between airborne in situ and remote sensing observations of greenhouse gases. The method relies on in situ observations, external ancillary sources of information (e.g., atmospheric transport models), and a regression kriging framework. We evaluate our new approach using National Oceanic and Atmospheric Administration’s (NOAA’s) AirCore program—in situ vertical profiles of CO2 and CH4 collected from weather balloons. Our paper shows that under the specific conditions of this study and assumption of unbiasedness, airborne observations up to 6500–9500 m altitude are required to achieve comparable total column CO2 mole fraction uncertainty as the Total Carbon Column Observing Network (TCCON) network provides, given as a precision of the ratio between observed and true total column-integrated mole fraction, assuming 400 ppm XCO2 (2σ, e.g., 0.8 ppm). If properly calibrated, our approach could be applied to vertical profiles of CO2 collected from aircraft using a few flask samples, while retaining similar uncertainty level. Our total column CH4 estimates, by contrast, are less accurate than TCCON’s. Aircrafts are not as spatially constrained as TCCON ground stations, so our approach adds value to aircraft-based vertical profiles for evaluating remote sensing platforms.

Highlights

  • IntroductionThe standard method to validate these observations is to compare them with time/space-coincident observations of airborne in situ vertical profiles, and/or ground-based total column abundance estimates

  • Satellite–based observations of greenhouse gases (CO2 and CH4 ) are becoming more common, and provide an unprecedented spatial and temporal coverage of total column mixing ratios.The standard method to validate these observations is to compare them with time/space-coincident observations of airborne in situ vertical profiles, and/or ground-based total column abundance estimates

  • We present an alternative approach to estimating XCO2 using partial column

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Summary

Introduction

The standard method to validate these observations is to compare them with time/space-coincident observations of airborne in situ vertical profiles, and/or ground-based total column abundance estimates. This approach has been successfully used to validate retrievals derived (among others) from Short Wave InfraRed (SWIR) spectra of the GOSAT TANSO-FTS Spectrometer) [1,2,3,4], as well as column-integrated atmospheric CO2 mole fractions (XCO2 ) inferred from ground-based Total Carbon Column Observing Network (TCCON) measurements [5,6,7,8].

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