Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-19-8297-2019 |
Deriving tropospheric ozone from assimilated profiles | |
van Peet, Jacob C. A.1,2; van der A, Ronald J.1,3 | |
2019-06-27 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2019 |
卷号 | 19期号:12页码:8297-8309 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; Peoples R China |
英文摘要 | We derived global tropospheric ozone (O-3) columns from GOME-2A (Global Ozone Monitoring Experiment) and OMI (Ozone Monitoring Instrument) O-3 profiles, which were simultaneously assimilated into the TM5 (Tracer Model, version 5) global chemistry transport model for the year 2008. The horizontal model resolution has been increased by a factor of 6 for more accurate results. To reduce computational cost, the number of model layers has been reduced from 44 to 31. The model ozone fields are used to derive tropospheric ozone, which is defined here as the partial column between mean sea level and 6 km altitude. Two methods for calculating the tropospheric columns from the free model run and assimilated O-3 fields are compared. In the first method, we calculate the residual between assimilated total columns and the partial model column between 6 km and the top of atmosphere. In the second method, we perform a direct integration of the assimilated O-3 fields between the surface and 6 km. The results are validated against tropospheric columns derived from ozone sonde measurements. Our results show that the residual method has too large a variation to be used reliably for the determination of tropospheric ozone, so the direct integration method has been used instead. The median global bias is smaller for the assimilated O-3 fields than for the free model run, but the large variation makes it difficult to make definitive statements on a regional or local scale. The monthly mean ozone fields show significant improvements and more detail when comparing the assimilated O-3 fields with the free model run, especially for features such as biomass-burning-enhanced O-3 concentrations and outflow of O-3 rich air from Asia over the Pacific. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000473068100001 |
WOS关键词 | MULTI SENSOR REANALYSIS ; SATELLITE MEASUREMENTS ; KALMAN FILTER ; VALIDATION ; ALGORITHM ; CHEMISTRY ; TRANSPORT ; QUALITY ; GOME-2 ; CLIMATOLOGY |
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/184151 |
专题 | 地球科学 |
作者单位 | 1.Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands; 2.Vrije Univ Amsterdam, Dept Earth Sci, Amsterdam, Netherlands; 3.NUIST, Nanjing, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | van Peet, Jacob C. A.,van der A, Ronald J.. Deriving tropospheric ozone from assimilated profiles[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(12):8297-8309. |
APA | van Peet, Jacob C. A.,&van der A, Ronald J..(2019).Deriving tropospheric ozone from assimilated profiles.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(12),8297-8309. |
MLA | van Peet, Jacob C. A.,et al."Deriving tropospheric ozone from assimilated profiles".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.12(2019):8297-8309. |
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