Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/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 |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
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). |
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