Does GOSAT capture the true seasonal cycle of carbon dioxide?

被引:70
作者
Lindqvist, H. [1 ,2 ]
O'Dell, C. W. [1 ]
Basu, S. [3 ,4 ]
Boesch, H. [5 ]
Chevallier, F. [6 ]
Deutscher, N. [7 ,8 ]
Feng, L. [9 ]
Fisher, B. [10 ]
Hase, F. [11 ]
Inoue, M. [12 ,13 ]
Kivi, R. [14 ]
Morino, I. [12 ]
Palmer, P. I. [9 ]
Parker, R. [5 ]
Schneider, M. [11 ]
Sussmann, R. [15 ]
Yoshida, Y. [12 ]
机构
[1] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
[2] Finnish Meteorol Inst, FIN-00101 Helsinki, Finland
[3] NOAA, Earth Syst Res Lab, Boulder, CO USA
[4] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[5] Univ Leicester, Dept Phys & Astron, Natl Ctr Earth Observat, Leicester LE1 7RH, Leics, England
[6] CEA, CNRS, UVSQ, Lab Sci Climat & Environm, F-91198 Gif Sur Yvette, France
[7] Univ Wollongong, Sch Chem, Wollongong, NSW, Australia
[8] Univ Bremen, Inst Environm Phys, D-28359 Bremen, Germany
[9] Univ Edinburgh, Sch Geosci, Natl Ctr Earth Observat, Edinburgh, Midlothian, Scotland
[10] CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA
[11] Karlsruhe Inst Technol, IMK ASF, D-76021 Karlsruhe, Germany
[12] Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan
[13] Akita Prefectural Univ, Dept Environm Biol, Akita, Japan
[14] Arctic Res Ctr, Finnish Meteorol Inst, Sodankyla, Finland
[15] Karlsruhe Inst Technol, IMK IFU, Garmisch Partenkirchen, Germany
基金
芬兰科学院;
关键词
CO2 RETRIEVAL ALGORITHM; VOLUME MIXING RATIOS; COLUMN-AVERAGED CO2; GREENHOUSE GASES; ATMOSPHERIC CO2; SPECTROSCOPIC OBSERVATIONS; TRANSPORT MODEL; X-CO2; DATA; SURFACE; VALIDATION;
D O I
10.5194/acp-15-13023-2015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The seasonal cycle accounts for a dominant mode of total column CO2 (XCO2) annual variability and is connected to CO2 uptake and release; it thus represents an important quantity to test the accuracy of the measurements from space. We quantitatively evaluate the XCO2 seasonal cycle of the Greenhouse Gases Observing Satellite (GOSAT) observations from the Atmospheric CO2 Observations from Space (ACOS) retrieval system and compare average regional seasonal cycle features to those directly measured by the Total Carbon Column Observing Network (TCCON). We analyse the mean seasonal cycle amplitude, dates of maximum and minimum XCO2, as well as the regional growth rates in XCO2 through the fitted trend over several years. We find that GOSAT/ACOS captures the seasonal cycle amplitude within 1.0 ppm accuracy compared to TCCON, except in Europe, where the difference exceeds 1.0 ppm at two sites, and the amplitude captured by GOSAT/ACOS is generally shallower compared to TCCON. This bias over Europe is not as large for the other GOSAT retrieval algorithms (NIES v02.21, RemoTeC v2.35, UoL v5.1, and NIES PPDF-S v.02.11), al-though they have significant biases at other sites. We find that the ACOS bias correction partially explains the shallow amplitude over Europe. The impact of the co-location method and aerosol changes in the ACOS algorithm were also tested and found to be few tenths of a ppm and mostly non-systematic. We find generally good agreement in the date of minimum XCO2 between ACOS and TCCON, but ACOS generally infers a date of maximum XCO2 2-3 weeks later than TCCON. We further analyse the latitudinal dependence of the seasonal cycle amplitude throughout the Northern Hemisphere and compare the dependence to that predicted by current optimized models that assimilate in situ measurements of CO2. In the zonal averages, models are consistent with the GOSAT amplitude to within 1.4 ppm, depending on the model and latitude. We also show that the seasonal cycle of XCO2 depends on longitude especially at the mid-latitudes: the amplitude of GOSAT XCO2 doubles from western USA to East Asia at 45-50 degrees N, which is only partially shown by the models. In general, we find that model-to-model differences can be larger than GOSAT-to-model differences. These results suggest that GOSAT/ACOS retrievals of the XCO2 seasonal cycle may be sufficiently accurate to evaluate land surface models in regions with significant discrepancies between the models.
引用
收藏
页码:13023 / 13040
页数:18
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