DocumentCode
575901
Title
Global trends in tropospheric NO2 observed from space
Author
Schneider, Philipp ; Van der A, Ronald
Author_Institution
NILU - Norwegian Inst. for Air Res., Kjeller, Norway
fYear
2012
fDate
22-27 July 2012
Firstpage
3650
Lastpage
3653
Abstract
Here we present results of a global trend analysis using nearly a decade of NO2 observations acquired by the SCIA-MACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY) instrument onboard the Envisat satellite platform. Monthly average tropospheric NO2 column data was acquired for the period between August 2002 and August 2011. A trend analysis was subsequently performed by fitting a statistical model including a seasonal cycle and linear trend to the time series extracted at each grid cell. The linear trend component and the trend uncertainty were then mapped spatially at both regional and global scales. The results show that spatially contiguous areas of significantly increasing NO2 levels are found primarily in Eastern China. In addition, many urban agglomerations in Asia and the Middle East similarly exhibit significantly increasing trends, with Dhaka in Bangladesh being the megacity with the most rapid relative increase during the study period. In contrast, significantly decreasing trends in NO2 levels exist over large parts of Europe and the Eastern United States. The satellite-derived time series were further analysed with respect to identification of the impact of the 2008/2009 economic crisis. European trends obtained from the satellite analysis are also compared with corresponding trends computed using data of the EMEP model, as well as with NO2 trends calculated from station observations throughout Europe.
Keywords
atmospheric composition; atmospheric techniques; nitrogen compounds; remote sensing; statistical analysis; time series; troposphere; AD 2002 08 to 2011 08; Asia; Bangladesh; Dhaka; EMEP model; Eastern China; Eastern United States; Envisat satellite platform; European trend; Middle East; NO2; NO2 level; NO2 observation; SCIA-MACHY instrument; SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY; economic crisis; global trend analysis; linear trend; megacity; satellite analysis; satellite-derived time series; seasonal cycle; spatially contiguous area; statistical model; trend uncertainty; tropospheric NO2 column data; tropospheric NO2 trend; urban agglomeration; Atmospheric modeling; Europe; Instruments; Market research; Monitoring; Satellites; Time series analysis; Global; SCIA-MACHY; Trend analysis; Tropospheric Nitrogen Dioxide;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350625
Filename
6350625
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