DOI: 10.1016/j.atmosenv.2018.02.044
Scopus记录号: 2-s2.0-85043377512
论文题名: Improve observation-based ground-level ozone spatial distribution by compositing satellite and surface observations: A simulation experiment
作者: Zhang Y ; , Wang Y ; , Crawford J ; , Cheng Y ; , Li J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 180 起始页码: 226
结束页码: 233
语种: 英语
英文关键词: Formaldehyde
; Geostationary satellite
; Indirect satellite retrieval
; Nitrogen dioxide
; Surface ozone
Scopus关键词: Formaldehyde
; Interpolation
; Nitrogen oxides
; Ozone
; Satellites
; Troposphere
; Chemical transport models
; Ground-level ozone
; Nitrogen dioxides
; Satellite observations
; Satellite retrieval
; Spatial interpolation
; Surface observation
; Surface ozone
; Geostationary satellites
; nitrogen dioxide
; ozone
; atmospheric modeling
; experimental study
; formaldehyde
; geostationary satellite
; ground-based measurement
; in situ measurement
; nitrogen dioxide
; observational method
; ozone
; satellite altimetry
; simulation
; spatial distribution
; troposphere
; air pollution
; Article
; boundary layer
; controlled study
; correlational study
; molecular dynamics
; priority journal
; random error
; spatial analysis
; surface property
; troposphere
; uncertainty
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Obtaining the full spatial coverage of daily surface ozone fields is challenging because of the sparsity of the surface monitoring network and the difficulty in direct satellite retrievals of surface ozone. We propose an indirect satellite retrieval framework to utilize the information from satellite-measured column densities of tropospheric NO2 and CH2O, which are sensitive to the lower troposphere, to derive surface ozone fields. The method is applicable to upcoming geostationary satellites with high-quality NO2 and CH2O measurements. To prove the concept, we conduct a simulation experiment using a 3-D chemical transport model for July 2011 over the eastern US. The results show that a second order regression using both NO2 and CH2O column densities can be an effective predictor for daily maximum 8-h average ozone. Furthermore, this indirect retrieval approach is shown to be complementary to spatial interpolation of surface observations, especially in regions where the surface sites are sparse. Combining column observations of NO2 and CH2O with surface site measurements leads to an improved representation of surface ozone over simple kriging, increasing the R2 value from 0.53 to 0.64 at a surface site distance of 252 km. The improvements are even more significant with larger surface site distances. The simulation experiment suggests that the indirect satellite retrieval technique can potentially be a useful tool to derive the full spatial coverage of daily surface ozone fields if satellite observation uncertainty is moderate. © 2018 Elsevier Ltd
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82929
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, United States; NASA Langley Research Center, Hampton, VA, United States; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States
Recommended Citation:
Zhang Y,, Wang Y,, Crawford J,et al. Improve observation-based ground-level ozone spatial distribution by compositing satellite and surface observations: A simulation experiment[J]. Atmospheric Environment,2018-01-01,180