2010
DOI: 10.1111/j.1365-2486.2009.02078.x
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Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations

Abstract: We present an estimate of net ecosystem exchange (NEE) of CO2 in Europe for the years 2001 through 2007. It is derived with a data assimilation that uses a large set of atmospheric CO2 mole fraction observations (<70 000) to guide relatively simple descriptions of terrestrial and oceanic net exchange, while fossil fuel and fire emissions are prescribed. Weekly terrestrial sources and sinks are optimized (i.e., a flux inversion) for a set of 18 large ecosystems across Europe in which pr… Show more

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Cited by 242 publications
(299 citation statements)
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References 101 publications
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“…Terrestrial ecosystem (biosphere) models often underestimate the seasonal amplitude of CO 2 in the Northern Hemisphere (Randerson et al, 2009), and inversion analyses that employ these terrestrial ecosystem models to provide a priori flux estimates underestimate the CO 2 seasonal amplitude by 1 to 2 ppm (Basu et al, 2011;Peters et al, 2010). In this study, we used the annual balanced, 3-hourly terrestrial ecosystem fluxes as described by Deng and Chen (2011), which also produced a weak seasonal cycle in the a priori CO 2 fields.…”
Section: Regional Flux Estimatesmentioning
confidence: 99%
“…Terrestrial ecosystem (biosphere) models often underestimate the seasonal amplitude of CO 2 in the Northern Hemisphere (Randerson et al, 2009), and inversion analyses that employ these terrestrial ecosystem models to provide a priori flux estimates underestimate the CO 2 seasonal amplitude by 1 to 2 ppm (Basu et al, 2011;Peters et al, 2010). In this study, we used the annual balanced, 3-hourly terrestrial ecosystem fluxes as described by Deng and Chen (2011), which also produced a weak seasonal cycle in the a priori CO 2 fields.…”
Section: Regional Flux Estimatesmentioning
confidence: 99%
“…Use of atmospheric CO 2 concentration measurements to estimate CO 2 fluxes has become finer scale in recent years, moving from global scale with coarse-resolution models (e.g., Enting et al, 1995;Fan et al, 1998;Bousquet et al, 2000;Gurney et al, 2002), to continental (Peylin et al, 2005;Peters et al, 2007Peters et al, , 2010Schuh et al, 2010) and finer regional scales (Matross et al, 2006;Tolk et al, 2009;Lauvaux et al, Correspondence to: B. B.…”
Section: Introductionmentioning
confidence: 99%
“…To focus on regional variations due to anthropogenic emissions an additional (post-processing) correction based on multivariate linear regression similar to Wunch et al (2011) is applied to minimise residual systematic retrieval biases. More precisely, we analysed correlations of the difference of the WFMD retrievals to the assimilation system CarbonTracker (Peters et al, 2007(Peters et al, , 2010 for the year 2004 at 8 locations (Białystok, Bremen, Orléans, Park Falls, Lamont, Darwin, Wollongong, and Lauder) with state vector and parameter vector elements or instrument and atmospheric parameters. As CarbonTracker is constrained by numerous reference measurements near the selected northern hemispheric locations and the XCO 2 seasonal cycle on the Southern Hemisphere is small, it is assumed that the found correlations represent systematic retrieval errors existing all over the world and at all times.…”
Section: Data Setmentioning
confidence: 99%