Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC...

Kulawik, S., D. Wunch, C. O'Dell, C. Frankenberg, M. Reuter, T. Oda, F. Chevallier, V. Sherlock, M. Buchwitz, G. Osterman, C. E. Miller, P. Wennberg, D. Griffith, I. Morino, M. K. Dubey, N. M. Deutscher, J. Notholt, F. Hase, T. Warneke, R. Sussmann, J. Robinson, K. Strong, M. Schneider, M. De Mazière, K. Shiomi, D. G. Feist, L. Iraci, and J. Wolf (2016), Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON, Atmos. Meas. Tech., 9, 683-709, doi:10.5194/amt-9-683-2016.

Consistent validation of satellite CO2 estimates is a prerequisite for using multiple satellite CO2 measurements for joint flux inversion, and for establishing an accurate long-term atmospheric CO2 data record. Harmonizing satellite CO2 measurements is particularly important since the differences in instruments, observing geometries, sampling strategies, etc. imbue different measurement characteristics in the various satellite CO2 data products. We focus on validating model and satellite observation attributes that impact flux estimates and CO2 assimilation, including accurate error estimates, correlated and random errors, overall biases, biases by season and latitude, the impact of coincidence criteria, validation of seasonal cycle phase and amplitude, yearly growth, and daily variability. We evaluate dryair mole fraction (XCO2 ) for Greenhouse gases Observing SATellite (GOSAT) (Atmospheric CO2 Observations from Space, ACOS b3.5) and SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) (Bremen Optimal Estimation DOAS, BESD v2.00.08) as well as the CarbonTracker (CT2013b) simulated CO2 mole fraction fields and the Monitoring Atmospheric Composition and Climate (MACC) CO2 inversion system (v13.1) and

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Research Program: 
Atmospheric Composition Modeling and Analysis Program (ACMAP)
Carbon Cycle & Ecosystems Program (CCEP)
Tropospheric Composition Program (TCP)