Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 µm measurements under cloudy conditions
In the perspective of the upcoming TROPOMI Sentinel-5 Precursor carbon monoxide data product, we discuss the benefit of using CO total column retrievals from cloud-contaminated SCIAMACHY 2.3 µm shortwave infrared spectra to detect atmospheric CO enhancements on regional and urban scales due to e...
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doaj-061682dee615435db3f82a4ffca4609f2020-11-24T23:24:50ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482018-05-01112553256510.5194/amt-11-2553-2018Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 µm measurements under cloudy conditionsT. Borsdorff0J. Andrasec1J. aan de Brugh2H. Hu3I. Aben4J. Landgraf5SRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsIn the perspective of the upcoming TROPOMI Sentinel-5 Precursor carbon monoxide data product, we discuss the benefit of using CO total column retrievals from cloud-contaminated SCIAMACHY 2.3 µm shortwave infrared spectra to detect atmospheric CO enhancements on regional and urban scales due to emissions from cities and wildfires. The study uses the operational Sentinel-5 Precursor algorithm SICOR, which infers the vertically integrated CO column together with effective cloud parameters. We investigate its capability to detect localized CO enhancements distinguishing between clear-sky observations and observations with low (< 1.5 km) and medium–high clouds (1.5–5 km). As an example, we analyse CO enhancements over the cities Paris, Los Angeles and Tehran as well as the wildfire events in Mexico–Guatemala 2005 and Alaska–Canada 2004. The CO average of the SCIAMACHY full-mission data set of clear-sky observations can detect weak CO enhancements of less than 10 ppb due to air pollution in these cities. For low-cloud conditions, the CO data product performs similarly well. For medium–high clouds, the observations show a reduced CO signal both over Tehran and Los Angeles, while for Paris no significant CO enhancement can be detected. This indicates that information about the vertical distribution of CO can be obtained from the SCIAMACHY measurements. Moreover, for the Mexico–Guatemala fires, the low-cloud CO data captures a strong outflow of CO over the Gulf of Mexico and the Pacific Ocean and so provides complementary information to clear-sky retrievals, which can only be obtained over land. For both burning events, enhanced CO values are even detectable with medium–high-cloud retrievals, confirming a distinct vertical extension of the pollution. The larger number of additional measurements, and hence the better spatial coverage, significantly improve the detection of wildfire pollution using both the clear-sky and cloudy CO retrievals. Due to the improved instrument performance of the TROPOMI instrument with respect to its precursor SCIAMACHY, the upcoming Sentinel-5 Precursor CO data product will allow improved detection of CO emissions and their vertical extension over cities and fires, making new research applications possible.https://www.atmos-meas-tech.net/11/2553/2018/amt-11-2553-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
T. Borsdorff J. Andrasec J. aan de Brugh H. Hu I. Aben J. Landgraf |
spellingShingle |
T. Borsdorff J. Andrasec J. aan de Brugh H. Hu I. Aben J. Landgraf Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 µm measurements under cloudy conditions Atmospheric Measurement Techniques |
author_facet |
T. Borsdorff J. Andrasec J. aan de Brugh H. Hu I. Aben J. Landgraf |
author_sort |
T. Borsdorff |
title |
Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 µm measurements under cloudy conditions |
title_short |
Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 µm measurements under cloudy conditions |
title_full |
Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 µm measurements under cloudy conditions |
title_fullStr |
Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 µm measurements under cloudy conditions |
title_full_unstemmed |
Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 µm measurements under cloudy conditions |
title_sort |
detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of co column retrievals from sciamachy 2.3 µm measurements under cloudy conditions |
publisher |
Copernicus Publications |
series |
Atmospheric Measurement Techniques |
issn |
1867-1381 1867-8548 |
publishDate |
2018-05-01 |
description |
In the perspective of the upcoming TROPOMI Sentinel-5 Precursor carbon
monoxide data product, we discuss the benefit of using CO total column
retrievals from cloud-contaminated SCIAMACHY 2.3 µm shortwave
infrared spectra to detect atmospheric CO enhancements on regional
and urban scales due to emissions from cities and wildfires. The
study uses the operational Sentinel-5 Precursor algorithm SICOR,
which infers the vertically integrated CO column together with
effective cloud parameters. We investigate its capability to detect
localized CO enhancements distinguishing between clear-sky
observations and observations with low (< 1.5 km) and medium–high
clouds (1.5–5 km). As an example, we analyse CO enhancements over the cities
Paris, Los Angeles and Tehran as well as the wildfire events in
Mexico–Guatemala 2005 and Alaska–Canada 2004. The CO average of the
SCIAMACHY full-mission data set of clear-sky observations can detect
weak CO enhancements of less than 10 ppb due to air pollution in
these cities. For low-cloud conditions, the CO data product
performs similarly well. For medium–high clouds, the observations show
a reduced CO signal both over Tehran and Los Angeles, while
for Paris no significant CO enhancement can be detected. This indicates
that information about the vertical distribution of CO can be obtained from the
SCIAMACHY measurements.
Moreover, for the Mexico–Guatemala fires, the low-cloud
CO data captures a strong outflow of CO over the Gulf of Mexico and
the Pacific Ocean and so provides complementary information to
clear-sky retrievals, which can only be obtained over land. For both burning events, enhanced CO values are
even detectable with medium–high-cloud retrievals, confirming a
distinct vertical extension of the pollution. The larger number of
additional measurements, and hence the better spatial coverage, significantly improve
the detection of wildfire pollution using both the clear-sky
and cloudy CO retrievals. Due to the improved instrument
performance of the TROPOMI instrument with respect to its precursor
SCIAMACHY, the upcoming Sentinel-5 Precursor CO data product will
allow improved detection of CO emissions and their vertical extension over
cities and fires, making new research applications possible. |
url |
https://www.atmos-meas-tech.net/11/2553/2018/amt-11-2553-2018.pdf |
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