CO2 flux estimation accuracy evaluation of Global and Regional atmospheric CO2 mission concepts
Abstract
We developed an observing system simulation experiment (OSSE) framework to evaluate mission-science-return quantitatively as a function of instrument payload, observation frequency, orbit, and sampling strategy for space-based remote sensing. The OSSE framework integrates GEOSChem and its adjoint system to perform forward/inverse modeling of the simulated measurements. During 2011-2012, we extended the OSSE framework to evaluate CO2 mission concepts in collaboration with the NASA's carbon monitoring system (CMS) flux pilot project team. In this paper, we employ the OSSE framework to analyze the science impact of multiple, simultaneous space-based column CO2 observations from simulated combinations of GOSAT, OCO-2, OCO-3, and a geo-stationary mission concept (GEOFTS). The OSSE process involved generating a CO2 concentration forecast, sampling the CO2 field at the appropriate time and location for each satellite sensor, incorporating realistic cloud climatologies to generate accurate clear-sky viewing statistics, retrieving CO2 profile simulaton in the presence of measurement noise, and finally assimilating the simulated column CO2 retrievals to estimate CO2 fluxes and flux uncertainty reductions. The OSSE process was applied over one-year-long mission period (2009/Jan - 2009/Dec) and the CO2 flux estimation error was analyzed to compute the probability density function (PDF) of CO2 flux estimation-error-reduction. The global OSSEs were performed in 2deg x 2.5 deg spatial resolution with the monthly-average CO2 flux estimation-error-reduction as the science-impact metric. Regional OSSEs were performed in 0.5 deg by 0.666 deg over N. America and the weekly average of the CO2 flux estimation-error-reduction was employed as the science-impact metric. We discuss the results and the projected performance of planned and potential space-based CO2 observing systems.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2012
- Bibcode:
- 2012AGUFM.A33I0243L
- Keywords:
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- 0345 ATMOSPHERIC COMPOSITION AND STRUCTURE / Pollution: urban and regional;
- 0394 ATMOSPHERIC COMPOSITION AND STRUCTURE / Instruments and techniques;
- 0545 COMPUTATIONAL GEOPHYSICS / Modeling;
- 1910 INFORMATICS / Data assimilation;
- integration and fusion