Impact of Errors in Atmospheric State on XCO2 Retrievals from a Laser CO2 Sounder
Abstract
NASA Goddard is developing an integrated-path, differential absorption lidar approach to measure global atmospheric column CO2 concentrations from space as a candidate for NASA's Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS) mission. This pulsed laser approach uses a step-locked laser diode source and a high-efficiency detector to measure atmospheric column CO2 absorption at multiple wavelengths across a CO2 line centered at 1572.335 nm with very high spectral resolution and high sensitivity to atmospheric CO2 changes. Atmospheric states from a global data assimilation and forecast model are used as ancillary data to produce the best retrievals of column-averaged CO2 mixing ratio with regards to dry air (XCO2). Retrieval error, both bias and random error, depends on uncertainties in atmospheric state for radiative transfer calculations that are used to fit measured CO2 absorption line shape for XCO2 retrievals. Temperature data uncertainty, for example, can modify air density as well as absorption line intensity and line shape, which could cause significant error in radiative transfer calculations and XCO2 retrievals. Uncertainty in atmospheric pressure and water vapor also further increase retrieval error.
We use data from the 2017 ASCENDS DC-8 airborne science campaign to quantify the atmospheric impact on XCO2 retrievals using meteorological data from the Goddard GEOS 'forward processing' system interpolated to aircraft ground tracks, aircraft flight data, and radiosondes during spiral down segments. We also use atmospheric states from re-analysis systems, MERRA, MERRA-2, and ECMWF ERA-Interim to study the impact of differences in atmospheric state on simulated XCO2 retrievals from space as a part of ASCENDS Observing System Simulation Experiments. We will present some preliminary results of this investigation and discuss the measurement requirements related to ancillary data, water vapor information, dry air density and its relationship with surface pressure and photon pathlength. Given sufficiently accurate meteorological data, the laser CO2 Sounder will provide high-precision, low-biased, and full global and seasonal sampling atmospheric CO2 measurements that will contribute substantially to quantifying surface fluxes and advancing carbon cycle sciences.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.A31P3158M
- Keywords:
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- 0365 Troposphere: composition and chemistry;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0394 Instruments and techniques;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 3311 Clouds and aerosols;
- ATMOSPHERIC PROCESSESDE: 3360 Remote sensing;
- ATMOSPHERIC PROCESSES