Preprints
https://doi.org/10.5194/gmdd-5-2789-2012
https://doi.org/10.5194/gmdd-5-2789-2012

Submitted as: model description paper 12 Sep 2012

Submitted as: model description paper | 12 Sep 2012

Review status: this preprint was under review for the journal GMD but the revision was not accepted.

A methodology for estimating seasonal cycles of atmospheric CO2 resulting from terrestrial net ecosystem exchange (NEE) fluxes using the Transcom T3L2 pulse-response functions

C. D. Nevison1, D. F. Baker2, and K. R. Gurney3 C. D. Nevison et al.
  • 1Institute for Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA
  • 2Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado, USA
  • 3School of Life Sciences, Arizona State University, Tempe, AZ, USA

Abstract. We present a method for translating modeled terrestrial net ecosystem exchange (NEE) fluxes of carbon into the corresponding seasonal cycles in atmospheric CO2. The method is based on the pulse-response functions from the Transcom 3 Level 2 (T3L2) atmospheric tracer transport model (ATM) intercomparison. The new pulse-response method is considerably faster than a full forward ATM simulation, allowing CO2 seasonal cycles to be computed in seconds, rather than the days or weeks required for a forward simulation. Further, the results provide an estimate of the range of transport uncertainty across 13 different ATMs associated with the translation of surface NEE fluxes into an atmospheric signal. We evaluate the method against the results of archived forward ATM simulations from T3L2. The latter are also used to estimate the uncertainties associated with oceanic and fossil fuel influences. We present a regional breakdown at selected monitoring sites of the contribution to the atmospheric CO2 cycle from the 11 different T3L2 land regions. A test case of the pulse-response code, forced by NEE fluxes from the Community Land Model, suggests that for many terrestrial models, discrepancies between model results and observed atmospheric CO2 cycles will be large enough to clearly transcend ATM uncertainties.

C. D. Nevison et al.

 
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Status: closed
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

C. D. Nevison et al.

C. D. Nevison et al.

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