Global sea-air CO2 flux based on climatological surface ocean pCO2, and seasonal biological and temperature effects

By Taro Takahashi, S. Sutherland, Colm Sweeney, A. Poisson, N. Metzl, B. Tilbrook, N. Bates, R. Wanninkhof, R. Feely, C. Sabine and 2 more. 2002

1,871 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/6cd2236b8e066fd68dd27102a701f0bc96a7fe00

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Peter C. Davison
2. J. Koslow
3. Dusanka Zupanski
4. Peter J. Rayner
5. A. Denning
6. W. Peters
7. H. Bösch
8. Junjie Liu

In Oceanography

1. Peter C. Davison
2. J. Koslow
3. D. Clark
4. H. Bösch
5. P. Monteiro
6. J. Sarmiento
7. J. Whitaker
8. M. Barker

Citations in the corpus

• Role of zooplankton in determining the efficiency of the biological carbon pump (2016, background): “The SO accounts for ∼ 20 % of the global ocean CO 2 uptake (Park et al., 2010; Takahashi et al., 2002) and is a large high-nutrient, low-chlorophyll region, in part due to limited iron availability (Martin, 1990).”
• An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations (2005, background): “The flux estimates to be improved were derived ‘‘bottom-up’’ from several sources such as oceanic pCO2 measurements [Takahashi et al., 2002], fossil fuel burning estimates [Andres et al., 1996], and biosphere flux estimates from process models [Randerson et al., 1997].”
• Carbon export mediated by mesopelagic fishes in the northeast Pacific Ocean (2013, methodology): “In the NPSG, the combination of the Laws (2004) and VGPM models has been shown to produce a total export that is consistent with airsea CO2 flux (Takahashi et al., 2002).”
• Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks (2014, background): “Compared to monthly mean fluxes from the Takahashi et al. (2002) atlas, the 3-hour air sea fluxes from ECCO2-Darwin show stronger variability in both space and time (not shown).”
• Estimating surface CO 2 fluxes from space-borne CO 2 dry air mole fraction observations using an ensemble Kalman Filter (2008, background): “We include CO2 estimates for daily biospheric fluxes (Potter et al., 1993), monthly oceanic fluxes (Takahashi et al., 2002), monthly biomass burning fluxes from the second version of the Global Fire Emission Database (GFEDv2) for 2003, a climatological distribution of annual fossil fuel emissions…”
• Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models (2002, positive): “First, we find consistency between the ocean fluxes predicted in this study and those based on a global databas”