Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 417198
Title The seasonal cycle amplitude of total column CO2: Factors behind the model-observation mismatch
Author(s) Basu, S.; Houweling, S.; Peters, W.; Sweeney, C.; Machida, T.; Maksyutov, S.
Source Journal of Geophysical Research: Atmospheres 116 (2011)D23. - ISSN 2169-897X - 14 p.
Department(s) Meteorology and Air Quality
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) carbon-dioxide exchange - in-situ observations - atmospheric co2 - lower stratosphere - transport - inversion - sinks - constraints - calibration - delta-c-13
Abstract CO2 surface fluxes that are statistically consistent with surface layer measurements of CO2, when propagated forward in time by atmospheric transport models, underestimate the seasonal cycle amplitude of total column CO2 in the Northern temperate latitudes by 1-2 ppm (Yang et al, 2007). In this manuscript we verify the systematic nature of this underestimation at a number of TCCON stations by comparing their measurements with a number of transport models. In particular, at Park Falls, Wisconsin (USA) we estimate this mismatch to be 1.4 ppm, and try to attribute portions of this mismatch to different factors affecting the total column. We find that errors due to the averaging kernel and prior used in forward models, water vapor in the model atmosphere, incorrect vertical transport by transport models in the free troposphere, incorrect aging of air in transport models in the stratosphere, and airmass dependence in TCCON data can explain up to 1 ppm of this mismatch. The remaining 0.4 ppm mismatch is at the edge of the accuracy requirement on satellite measurements to improve on our current estimate of surface fluxes. Uncertainties in the biosphere fluxes driving the transport models could explain a part of the remaining mismatch, implying that with corrections to the factors behind the accounted-for 1 ppm underestimation, present inverse modeling frameworks could effectively assimilate satellite CO2 measurements.
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