Long-term changes of tropospheric NO2 over megacities derived from multiple satellite instruments

212Citations
Citations of this article
154Readers
Mendeley users who have this article in their library.

Abstract

Tropospheric NO2, a key pollutant in particular in cities, has been measured from space since the mid-1990s by the GOME, SCIAMACHY, OMI, and GOME-2 instruments. These data provide a unique global long-term dataset of tropospheric pollution. However, the observations differ in spatial resolution, local time of measurement, viewing geometry, and other details. All these factors can severely impact the retrieved NO2 columns. In this study, we present three ways to account for instrumental differences in trend analyses of the NO2 columns derived from satellite measurements, while preserving the individual instruments' spatial resolutions. For combining measurements from GOME and SCIAMACHY into one consistent time series, we develop a method to explicitly account for the instruments' difference in ground pixel size (40×320 km2 vs. 30×60 km2). This is especially important when analysing NO2 changes over small, localised sources like, e.g. megacities. The method is based on spatial averaging of the measured earthshine spectra and extraction of a spatial pattern of the resolution effect. Furthermore, two empirical corrections, which summarise all instrumental differences by including instrument-dependent offsets in a fitted trend function, are developed. These methods are applied to data from GOME and SCIAMACHY separately, to the combined time series, and to an extended dataset comprising also GOME-2 and OMI measurements. All approaches show consistent trends of tropospheric NO2 for a selection of areas on both regional and city scales, for the first time allowing consistent trend analysis of the full time series at high spatial resolution. Compared to previous studies, the longer study period leads to significantly reduced uncertainties. We show that measured tropospheric NO2 columns have been strongly increasing over China, the Middle East, and India, with values over east-central China tripling from 1996 to 2011. All parts of the developed world, including Western Europe, the United States, and Japan, show significantly decreasing NO2 amounts in the same time period. On a megacity level, individual trends can be as large as +27.2±3.9%yr-1 and +20.7±1.9%yr -1 in Dhaka and Baghdad, respectively, while Los Angeles shows a very strong decrease of -6.00±0.72%yr-1. Most megacities in China, India, and the Middle East show increasing NO2 columns of +5 to 10%yr-1, leading to a doubling to tripling within the study period. © Author(s) 2013.

Figures

  • Fig. 1. Schematic view of the effect of the instrument’s ground pixel size on the measured VCDtrop NO2.
  • Table 1. Characteristics of the four satellite platforms used in this study.
  • Fig. 2. Mean annual VCDtrop NO2 norm lized to 1996 for the regions central East Coast US, Weste n Europe, US, east-central China, Japan, Middle East, and north-c ntral India. Values for 1996–2002 are from GO E; values from 2003–2011 are from SCIAMACHY measurements. The first five regions are defined as in Richter et al. (2005). The y-axis has been modified to make relativ changes above and below 1 more comparable (values larger than 1 have been scaled to y 7→ 2− 1y ). Discu
  • Fig. 3. NOx emissions from the EDGAR v4.2 database, normalized to 1996, for the regions central East Coast US, We tern Europe, US, eastcentral China, Japan, Middle East, and north-central India. The y-axis has been modified to make relative changes above and below 1 more comparable (values larger t an 1 have been scaled to y 7→ 2− 1y ). Since the published version 4.2 of the EDGAR database contains erroneous emission data for the year 2008 in Iran, this plot uses an updated, so far unpublished, version (G. Maenhout, personal communication, 2012) for the Middle East region.
  • Fig. 4. Histogram of VCDtrop NO2 from SCIAMACHY over the regions from Fig. 2 for the years 2003–2011. The pl t s ows the relative counts of background (blue), moderately polluted (green), polluted (yellow), very polluted (red), and extremely polluted (black) 1◦×1◦ grid cells per region.
  • Fig. 5. Annual mean 0̄ f the resolution orrection factor climatology (2003–2011). Pixels with a mean VCDSCIAred.res. lower than th instrument precision (estimated to be 1014 moleccm−2) have been excluded from the plot.
  • Fig. 6. Annual mean 0̄ of the resolution correction factor over the United States (right) and Europe (left).
  • Fig. 7. Tropospheric NO2 columns from GOME (top left), SCIAMACHY (top right), down-sampled SCIAMACHY (bottom left), and resolution-corrected GOME (bottom right) measurements for May 2003, gridded to 116 ◦ × 1 16 ◦. The effect of spatial smoothing can be seen in the original GOME and the down-sampled SCIAMACHY measurements for all point-like sources like cities, as the signal becomes smeared out.

References Powered by Scopus

SCIAMACHY: Mission objectives and measurement modes

1655Citations
N/AReaders
Get full text

The ozone monitoring instrument

1541Citations
N/AReaders
Get full text

The HITRAN molecular database: Editions of 1991 and 1992

1482Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Observations: Atmosphere and surface

1693Citations
N/AReaders
Get full text

Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015

586Citations
N/AReaders
Get full text

A space-based, high-resolution view of notable changes in urban NO<inf>x</inf> pollution around the world (2005–2014)

372Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Hilboll, A., Richter, A., & Burrows, J. P. (2013). Long-term changes of tropospheric NO2 over megacities derived from multiple satellite instruments. Atmospheric Chemistry and Physics, 13(8), 4145–4169. https://doi.org/10.5194/acp-13-4145-2013

Readers over time

‘12‘13‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2506121824

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 50

45%

Researcher 45

40%

Professor / Associate Prof. 14

13%

Lecturer / Post doc 3

3%

Readers' Discipline

Tooltip

Earth and Planetary Sciences 53

49%

Environmental Science 40

37%

Chemistry 9

8%

Engineering 6

6%

Article Metrics

Tooltip
Mentions
News Mentions: 3

Save time finding and organizing research with Mendeley

Sign up for free
0