The seasonal cycle amplitude of total column CO2: Factors behind the model-observation mismatch

被引:18
作者
Basu, Sourish [1 ]
Houweling, Sander [1 ,9 ]
Peters, Wouter [7 ]
Sweeney, Colm [8 ]
Machida, Toshinobu [3 ]
Maksyutov, Shamil [3 ]
Patra, Prabir K. [6 ]
Saito, Ryu [6 ]
Chevallier, Frederic [2 ]
Niwa, Yosuke [5 ]
Matsueda, Hidekazu [4 ]
Sawa, Yousuke
机构
[1] SRON Netherlands Inst Space Res, NL-3584 CA Utrecht, Netherlands
[2] Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France
[3] Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan
[4] Meteorol Res Inst, Geochem Res Dept, Tsukuba, Ibaraki 3050052, Japan
[5] Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba 2778568, Japan
[6] JAMSTEC, Res Inst Global Change, Kanazawa Ku, Yokohama, Kanagawa 2360001, Japan
[7] Univ Wageningen & Res Ctr, Dept Meteorol & Air Qual, NL-6708 PB Wageningen, Netherlands
[8] Univ Colorado, CIRES, Boulder, CO 80304 USA
[9] Inst Marine & Atmospher Res, Utrecht, Netherlands
关键词
CARBON-DIOXIDE EXCHANGE; IN-SITU OBSERVATIONS; ATMOSPHERIC CO2; INVERSION; TRANSPORT; SINKS; STRATOSPHERE; CONSTRAINTS; CALIBRATION; DELTA-C-13;
D O I
10.1029/2011JD016124
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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. In this paper we verify the systematic nature of this underestimation at a number of Total Carbon Column Observation Network (TCCON) stations by comparing their measurements with a number of transport models. In particular, at Park Falls, Wisconsin (United States), 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 (1) the averaging kernel and prior profile used in forward models, (2) water vapor in the model atmosphere, (3) incorrect vertical transport by transport models in the free troposphere, (4) incorrect aging of air in transport models in the stratosphere, and (5) air mass 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 <= 0.4 ppm 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 0.4 ppm 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.
引用
收藏
页数:14
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