DOI: 10.1016/j.atmosenv.2015.05.032
Scopus记录号: 2-s2.0-84937870465
论文题名: Observing System Simulation Experiments for air quality
作者: Timmermans R ; M ; A ; , Lahoz W ; A ; , Attié J ; -L ; , Peuch V ; -H ; , Curier R ; L ; , Edwards D ; P ; , Eskes H ; J ; , Builtjes P ; J ; H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 115 起始页码: 199
结束页码: 213
语种: 英语
英文关键词: Air quality modelling
; Data assimilation
; Future instruments
; OSSE
; Satellite observations
Scopus关键词: Air quality
; Balloons
; Cost effectiveness
; Earth (planet)
; Monitoring
; Air quality modelling
; Atmospheric constituents
; Data assimilation
; Earth observation data
; Instrument Simulator
; Observing system simulation experiments
; OSSE
; Satellite observations
; Quality control
; carbon monoxide
; ozone
; air quality
; atmospheric chemistry
; data assimilation
; environmental monitoring
; future prospect
; instrumentation
; observational method
; quality control
; satellite data
; valuation
; aerosol
; air analysis
; air quality
; air temperature
; altitude
; cost effectiveness analysis
; developmental stage
; observing system simulation experiment
; particulate matter
; priority journal
; Review
; seasonal variation
; signal noise ratio
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: This review paper provides a framework for the application of the Observing System Simulation Experiment (OSSE) methodology to satellite observations of atmospheric constituents relevant for air quality. The OSSEs are experiments used to determine the potential benefit of future observing systems using an existing monitoring or forecasting system and by this can help to define optimal characteristics of future instruments. To this end observations from future instruments are simulated from a model representing the realistic state of the atmosphere and an instrument simulator. The added value of the new observations is evaluated through assimilation into another model or model version and comparison with the simulated true state and a control run.This paper provides an overview of existing air quality OSSEs focusing on ozone, CO and aerosol. Using illustrative examples from these studies we present the main elements of an air quality OSSE and associated requirements based on evaluation of the existing studies and experience within the meteorological community.The air quality OSSEs performed hitherto provide evidence of their usefulness for evaluation of future observations although most studies published do not meetall the identified requirements. Especially the evaluation of the OSSE set-up requires more attention; the differences between the assimilation model and the simulated truth should approximate differences between models and real observations. Although this evaluation is missing in many studies, it is required to ensure realistic results. Properly executed air quality OSSEs are a valuable and cost effective tool to space agencies and instrument builders when applied at the start of the development stage to ensure future observations provide added value to users of Earth Observation data. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81635
Appears in Collections: 气候变化事实与影响
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作者单位: TNO, Netherlands Organisation for Applied Scientific Research, Department of Climate, Air and Sustainability, P.O. Box 80015, Utrecht, Netherlands; NILU, Norwegian Institute for Air Research, Instituttveien 18, Kjeller, Norway; University of Toulouse, LA UMR 5560 and CNRM-GAME, URA1357, CNRS - Météo-France, Toulouse, France; ECMWF, Shinfield Park, Reading, Berkshire, United Kingdom; NCAR, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO, United States; KNMI, Royal Netherlands Meteorological Institute, P.O. Box 201, De Bilt, Netherlands; FUB, Free University Berlin, Carl-Heinrich-Becker-Weg 6-10, Berlin, Germany
Recommended Citation:
Timmermans R,M,A,et al. Observing System Simulation Experiments for air quality[J]. Atmospheric Environment,2015-01-01,115