GSTDTAP  > 地球科学
DOI10.5194/acp-17-8285-2017
Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis
Miyazaki, Kazuyuki1,2; Bowman, Kevin2
2017-07-07
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2017
卷号17期号:13
文章类型Article
语种英语
国家Japan; USA
英文摘要

The Atmospheric Chemistry Climate Model Intercomparison Project (ACCMIP) ensemble ozone simulations for the present day from the 2000 decade simulation results are evaluated by a state-of-the-art multi-constituent atmospheric chemical reanalysis that ingests multiple satellite data including the Tropospheric Emission Spectrometer (TES), the Microwave Limb Sounder (MLS), the Ozone Monitoring Instrument (OMI), and the Measurement of Pollution in the Troposphere (MOPITT) for 2005-2009. Validation of the chemical reanalysis against global ozonesondes shows good agreement throughout the free troposphere and lower stratosphere for both seasonal and year-to-year variations, with an annual mean bias of less than 0.9 ppb in the middle and upper troposphere at the tropics and midlatitudes. The reanalysis provides comprehensive spatiotemporal evaluation of chemistry-model performance that compliments direct ozonesonde comparisons, which are shown to suffer from significant sampling bias. The reanalysis reveals that the ACCMIP ensemble mean overestimates ozone in the northern extratropics by 6-11 ppb while underestimating by up to 18 ppb in the southern tropics over the Atlantic in the lower troposphere. Most models underestimate the spatial variability of the annual mean lower tropospheric concentrations in the extratropics of both hemispheres by up to 70 %. The ensemble mean also overestimates the seasonal amplitude by 25-70% in the northern extratropics and overestimates the inter-hemispheric gradient by about 30% in the lower and middle troposphere. A part of the discrepancies can be attributed to the 5-year reanalysis data for the decadal model simulations. However, these differences are less evident with the current sonde network. To estimate ozonesonde sampling biases, we computed model bias separately for global coverage and the ozonesonde network. The ozonesonde sampling bias in the evaluated model bias for the seasonal mean concentration relative to global coverage is 40-50% over the western Pacific and east Indian Ocean and reaches 110% over the equatorial Americas and up to 80% for the global tropics. In contrast, the ozonesonde sampling bias is typically smaller than 30% for the Arctic regions in the lower and middle troposphere. These systematic biases have implications for ozone radiative forcing and the response of chemistry to climate that can be further quantified as the satellite observational record extends to multiple decades.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000405301900001
WOS关键词TROPOSPHERIC EMISSION SPECTROMETER ; LONG-TERM CHANGES ; ATMOSPHERIC CHEMISTRY ; CLIMATE MODEL ; DATA-ASSIMILATION ; CARBON-MONOXIDE ; STRATOSPHERIC OZONE ; INTERIM REANALYSIS ; NOX ; MLS
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/20547
专题地球科学
作者单位1.Japan Agcy Marine Earth Sci & Technol, Research & Dev Ctr Global Change, Yokohama, Kanagawa 2360001, Japan;
2.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA
推荐引用方式
GB/T 7714
Miyazaki, Kazuyuki,Bowman, Kevin. Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(13).
APA Miyazaki, Kazuyuki,&Bowman, Kevin.(2017).Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(13).
MLA Miyazaki, Kazuyuki,et al."Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.13(2017).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Miyazaki, Kazuyuki]的文章
[Bowman, Kevin]的文章
百度学术
百度学术中相似的文章
[Miyazaki, Kazuyuki]的文章
[Bowman, Kevin]的文章
必应学术
必应学术中相似的文章
[Miyazaki, Kazuyuki]的文章
[Bowman, Kevin]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。