GSTDTAP  > 地球科学
DOI10.5194/acp-17-13283-2017
Contributions of the troposphere and stratosphere to CH4 model biases
Wang, Zhiting1; Warneke, Thorsten1; Deutscher, Nicholas M.1,2; Notholt, Justus1; Karstens, Ute3; Saunois, Marielle4; Schneider, Matthias5; Sussmann, Ralf6; Sembhi, Harjinder7; Griffith, David W. T.2; Pollard, Dave F.8; Kivi, Rigel9; Petri, Christof1; Velazco, Voltaire A.2; Ramonet, Michel4; Chen, Huilin10,11
2017-11-09
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2017
卷号17期号:21
文章类型Article
语种英语
国家Germany; Australia; France; England; New Zealand; Finland; Netherlands; USA
英文摘要

Inverse modelling is a useful tool for retrieving CH4 fluxes; however, evaluation of the applied chemical transport model is an important step before using the inverted emissions. For inversions using column data one concern is how well the model represents stratospheric and tropospheric CH4 when assimilating total column measurements. In this study atmospheric CH4 from three inverse models is compared to FTS (Fourier transform spectrometry), satellite and in situ measurements. Using the FTS measurements the model biases are separated into stratospheric and tropospheric contributions. When averaged over all FTS sites the model bias amplitudes (absolute model to FTS differences) are 7.4 +/- 5.1, 6.7 +/- 4.8, and 8.1 +/- 5.5 ppb in the tropospheric partial column (the column from the surface to the tropopause) for the models TM3, TM5-4DVAR, and LMDz-PYVAR, respectively, and 4.3 +/- 9.9, 4.7 +/- 9.9, and 6.2 +/- 11.2 ppb in the stratospheric partial column (the column from the tropopause to the top of the atmosphere). The model biases in the tropospheric partial column show a latitudinal gradient for all models; however there are no clear latitudinal dependencies for the model biases in the stratospheric partial column visible except with the LMDz-PYVAR model. Comparing modelled and FTS-measured tropospheric column-averaged mole fractions reveals a similar latitudinal gradient in the model biases but comparison with in situ measured mole fractions in the troposphere does not show a latitudinal gradient, which is attributed to the different longitudinal coverage of FTS and in situ measurements. Similarly, a latitudinal pattern exists in model biases in vertical CH4 gradients in the troposphere, which indicates that vertical transport of tropospheric CH4 is not represented correctly in the models.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000414949200001
WOS关键词COLUMN-AVERAGED METHANE ; GROWTH-RATE ; EMISSIONS ; N2O ; CO2 ; SENSITIVITY ; CALIBRATION ; RESOLUTION ; RETRIEVAL ; CHEMISTRY
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/30784
专题地球科学
作者单位1.Univ Bremen, Inst Environm Phys, Bremen, Germany;
2.Univ Wollongong, Sch Chem, Ctr Atmospher Chem, Wollongong, NSW, Australia;
3.Max Planck Inst Biogeochem, Jena, Germany;
4.Univ Paris Saclay, Lab Sci Climat & Environm, LSCE IPSL CEA CNRSUVSQ, F-91191 Gif Sur Yvette, France;
5.Karlsruhe Inst Technol, IMK ASF, Karlsruhe, Germany;
6.Karlsruhe Inst Technol, IMK IFU, Garmisch Partenkirchen, Germany;
7.Univ Leicester, Dept Phys & Astron, Earth Observat Sci, Leicester, Leics, England;
8.Natl Inst Water & Atmospher Res NIWA, Wellington, New Zealand;
9.FMI ARC, Sodankyla, Finland;
10.Univ Groningen, Ctr Isotope Res CIO, Groningen, Netherlands;
11.Univ Colorado, CIRES, Boulder, CO 80309 USA
推荐引用方式
GB/T 7714
Wang, Zhiting,Warneke, Thorsten,Deutscher, Nicholas M.,et al. Contributions of the troposphere and stratosphere to CH4 model biases[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(21).
APA Wang, Zhiting.,Warneke, Thorsten.,Deutscher, Nicholas M..,Notholt, Justus.,Karstens, Ute.,...&Chen, Huilin.(2017).Contributions of the troposphere and stratosphere to CH4 model biases.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(21).
MLA Wang, Zhiting,et al."Contributions of the troposphere and stratosphere to CH4 model biases".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.21(2017).
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