An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations

By W. Peters, John B. Miller, J. Whitaker, A. Denning, A. Hirsch, M. Krol, Dusanka Zupanski, L. Bruhwiler, P. Tans. 2005

259 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/d41596737761dc03906cb227eb6ad7caba793fa8

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Citations in the corpus

Carbon flux bias estimation employing Maximum Likelihood Ensemble Filter (MLEF) (2007, methodology): “[ 3 ] One of the newer applications of the EnKF methods is in the area of carbon flux inversion problems [e.g., Peters et al. , 2005].”
Estimating surface CO 2 fluxes from space-borne CO 2 dry air mole fraction observations using an ensemble Kalman Filter (2008, background): “…and complementary approach to variational assimilation, has been developed in the physical oceanography and meteorology communities (e.g., Evensen, 1994; Houtekamer and Mitchell, 1998; Lorenc, 2003), and recently applied to carbon cycle research (Peters et al., 2005; Bruhwiler et al., 2005).”
The impact of the permafrost carbon feedback on global climate (2014, background): “Many countries already have infrastructure to measure atmospheric greenhouse gases and estimate regional emissions, such as the Carbon Tracker system in the United States (Peters et al 2005).”
“Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation (2011, methodology): “ Peters et al. [2005, 2007] have assimilated observations from the ground‐based stations whereas Feng et al. [2009] have used simulated observations of satellite data, Orbiting Carbon Observatory (OCO) [Crisp et al., 2004].”
Inverse Modeling of Global and Regional CH4 Emissions Using SCIAMACHY Satellite Retrievals (2009, methodology): “…2007], which are assimilated CO2 fields based on NOAA’s global network of CO2 measurements and an Ensemble Kalman Filter system based on the TM5 model [Peters et al., 2005]: XCH4 ¼ VCH4 VCO2 XCO2CarbonTracker ð1Þ Since SCIAMACHY measurements over the ocean are restricted to conditions with either…”