DOI: 10.1016/j.atmosenv.2013.11.048
Scopus记录号: 2-s2.0-84890717165
论文题名: Improved monitoring of surface ozone by joint assimilation of geostationary satellite observations of ozone and CO
作者: Zoogman P ; , Jacob D ; J ; , Chance K ; , Worden H ; M ; , Edwards D ; P ; , Zhang L
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 84 起始页码: 254
结束页码: 261
语种: 英语
英文关键词: CO
; Error correlation
; Joint assimilation
; Kalman filter
; Ozone
; Remote sensing
Scopus关键词: Air quality
; Boundary layers
; Carbon monoxide
; Cobalt
; Errors
; Geostationary satellites
; Kalman filters
; NASA
; Remote sensing
; Troposphere
; Aircraft observations
; Chemical transport models
; Data assimilation systems
; Error correlation
; Geostationary missions
; Geostationary observations
; Observing system simulation experiments
; Satellite observations
; Ozone
; carbon monoxide
; ozone
; air quality
; atmospheric modeling
; carbon monoxide
; data assimilation
; error analysis
; geostationary satellite
; hypothesis testing
; Kalman filter
; ozone
; remote sensing
; summer
; air quality
; aircraft
; article
; boundary layer
; human
; plume
; priority journal
; simulation
; surface property
; North America
; 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: Future geostationary satellite observations of tropospheric ozone aim to improve monitoring of surface ozone air quality. However, ozone retrievals from space have limited sensitivity in the lower troposphere (boundary layer). Data assimilation in a chemical transport model can propagate the information from the satellite observations to provide useful constraints on surface ozone. This may be aided by correlated satellite observations of carbon monoxide (CO), for which boundary layer sensitivity is easier to achieve. We examine the potential of concurrent geostationary observations of ozone and CO to improve constraints on surface ozone air quality through exploitation of ozone-CO model error correlations in a joint data assimilation framework. The hypothesis is that model transport errors diagnosed for CO provide information on corresponding errors in ozone. A paired-model analysis of ozone-CO error correlations in the boundary layer over North America in summer indicates positive error correlations in continental outflow but negative regional-scale error correlations over land, the latter reflecting opposite sensitivities of ozone and CO to boundary layer depth. Aircraft observations from the ICARTT campaign are consistent with this pattern but also indicate strong positive error correlations in fine-scale pollution plumes. We develop a joint ozone-CO data assimilation system and apply it to a regional-scale Observing System Simulation Experiment (OSSE) of the planned NASA GEO-CAPE geostationary mission over North America. We find substantial benefit from joint ozone-CO data assimilation in informing US ozone air quality if the instrument sensitivity for CO in the boundary layer is greater than that for ozone. A high-quality geostationary measurement of CO could potentially relax the requirements for boundary layer sensitivity of the ozone measurement. This is contingent on accurate characterization of ozone-CO error correlations. A finer-resolution data assimilation system resolving the urban scale would need to account for the change in sign of the ozone-CO error correlations between urban pollution plumes and the regional atmosphere. © 2013 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81081
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States; Harvard Smithsonian Center for Astrophysics, Cambridge, MA, United States; National Center for Atmospheric Research, Boulder, CO, United States; Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Recommended Citation:
Zoogman P,, Jacob D,J,et al. Improved monitoring of surface ozone by joint assimilation of geostationary satellite observations of ozone and CO[J]. Atmospheric Environment,2014-01-01,84