Abstract:Abstract. Nitrogen Dioxide is both a primary pollutant with direct health effects and a key precursor of the secondary pollutant ozone. This paper reports on the development, characterisation and test flight of the Atmospheric Nitrogen Dioxide Imager (ANDI) remote sensing system. The ANDI system includes an imaging (UV)-vis grating spectrometer able to capture scattered sunlight spectra for the determination of tropospheric nitrogen dioxide (NO2) concentrations by way of DOAS slant column density and vertical … Show more
“…The corresponding surface reflectances and viewing and sun geometries recorded by the AirMAP instrument are also provided in the plot, as well as the other RTM parameter settings. A strong dependence of the AMF on the surface reflectance can be observed, consistent with previous studies reported in Lawrence et al (2015), Meier et al (2017), and Tack et al (2017). In the upper panel of Fig.…”
Section: Amf Dependence On Rtm Parameters Amf Dependence On the Surface Reflectancesupporting
confidence: 91%
“…The majority of these studies have focused on the retrieval of the NO 2 field over urban areas and/or industrial sites, i.e. Heue et al (2008), Kowalewski and Janz (2009), Popp et al (2012), General et al (2014), Lawrence et al (2015), Schönhardt et al (2015), Nowlan et al (2016), Lamsal et al (2017), Meier et al (2017), Tack et al (2017), Vlemmix et al (2017), Broccardo et al (2018), Merlaud et al (2018), and Nowlan et al (2018).…”
Abstract. We present an intercomparison study
of four airborne imaging DOAS instruments, dedicated to the retrieval and
high-resolution mapping of tropospheric nitrogen dioxide (NO2) vertical
column densities (VCDs). The AROMAPEX campaign took place in Berlin, Germany,
in April 2016 with the primary objective to test and intercompare the
performance of experimental airborne imagers. The imaging DOAS instruments
were operated simultaneously from two manned aircraft, performing
synchronised flights: APEX (VITO–BIRA-IASB) was operated from DLR's DO-228
D-CFFU aircraft at 6.2 km in altitude, while AirMAP (IUP-Bremen), SWING
(BIRA-IASB), and SBI (TNO–TU Delft–KNMI) were operated from the FUB Cessna
207T D-EAFU at 3.1 km. Two synchronised flights took place on 21 April 2016.
NO2 slant columns were retrieved by applying differential optical
absorption spectroscopy (DOAS) in the visible wavelength region and converted
to VCDs by the computation of appropriate air mass factors (AMFs). Finally,
the NO2 VCDs were georeferenced and mapped at high spatial resolution.
For the sake of harmonising the different data sets, efforts were made to
agree on a common set of parameter settings, AMF look-up table, and gridding algorithm.
The NO2 horizontal distribution, observed by the different DOAS
imagers, shows very similar spatial patterns. The NO2 field is
dominated by two large plumes related to industrial compounds, crossing the
city from west to east. The major highways A100 and A113 are also identified
as line sources of NO2. Retrieved NO2 VCDs range between
1×1015 molec cm−2 upwind of the city and 20×1015 molec cm−2 in the dominant
plume, with a mean of 7.3±1.8×1015 molec cm−2 for the morning flight and between
1 and 23×1015 molec cm−2 with a mean of 6.0±1.4×1015 molec cm−2 for the afternoon flight. The mean NO2 VCD retrieval
errors are in the range of 22 % to 36 % for all sensors. The four data sets
are in good agreement with Pearson correlation coefficients better than 0.9,
while the linear regression analyses show slopes close to unity and generally
small intercepts.
“…The corresponding surface reflectances and viewing and sun geometries recorded by the AirMAP instrument are also provided in the plot, as well as the other RTM parameter settings. A strong dependence of the AMF on the surface reflectance can be observed, consistent with previous studies reported in Lawrence et al (2015), Meier et al (2017), and Tack et al (2017). In the upper panel of Fig.…”
Section: Amf Dependence On Rtm Parameters Amf Dependence On the Surface Reflectancesupporting
confidence: 91%
“…The majority of these studies have focused on the retrieval of the NO 2 field over urban areas and/or industrial sites, i.e. Heue et al (2008), Kowalewski and Janz (2009), Popp et al (2012), General et al (2014), Lawrence et al (2015), Schönhardt et al (2015), Nowlan et al (2016), Lamsal et al (2017), Meier et al (2017), Tack et al (2017), Vlemmix et al (2017), Broccardo et al (2018), Merlaud et al (2018), and Nowlan et al (2018).…”
Abstract. We present an intercomparison study
of four airborne imaging DOAS instruments, dedicated to the retrieval and
high-resolution mapping of tropospheric nitrogen dioxide (NO2) vertical
column densities (VCDs). The AROMAPEX campaign took place in Berlin, Germany,
in April 2016 with the primary objective to test and intercompare the
performance of experimental airborne imagers. The imaging DOAS instruments
were operated simultaneously from two manned aircraft, performing
synchronised flights: APEX (VITO–BIRA-IASB) was operated from DLR's DO-228
D-CFFU aircraft at 6.2 km in altitude, while AirMAP (IUP-Bremen), SWING
(BIRA-IASB), and SBI (TNO–TU Delft–KNMI) were operated from the FUB Cessna
207T D-EAFU at 3.1 km. Two synchronised flights took place on 21 April 2016.
NO2 slant columns were retrieved by applying differential optical
absorption spectroscopy (DOAS) in the visible wavelength region and converted
to VCDs by the computation of appropriate air mass factors (AMFs). Finally,
the NO2 VCDs were georeferenced and mapped at high spatial resolution.
For the sake of harmonising the different data sets, efforts were made to
agree on a common set of parameter settings, AMF look-up table, and gridding algorithm.
The NO2 horizontal distribution, observed by the different DOAS
imagers, shows very similar spatial patterns. The NO2 field is
dominated by two large plumes related to industrial compounds, crossing the
city from west to east. The major highways A100 and A113 are also identified
as line sources of NO2. Retrieved NO2 VCDs range between
1×1015 molec cm−2 upwind of the city and 20×1015 molec cm−2 in the dominant
plume, with a mean of 7.3±1.8×1015 molec cm−2 for the morning flight and between
1 and 23×1015 molec cm−2 with a mean of 6.0±1.4×1015 molec cm−2 for the afternoon flight. The mean NO2 VCD retrieval
errors are in the range of 22 % to 36 % for all sensors. The four data sets
are in good agreement with Pearson correlation coefficients better than 0.9,
while the linear regression analyses show slopes close to unity and generally
small intercepts.
“…Atmospheric in situ measurements or remote sensing scans can be powerful tools to map pollution hot spots (Worden et al, 2013;Kort et al, 2014;Lawrence et al, 2015;Jacob et al, 2016) or identify and quantify larger than expected pollution sources (de Gouw et al, 2009;Karion et al, 2013). Kort et al's (2014) U.S. CH 4 anomaly map relied on retrievals of total column average CH 4 dry air mixing ratio (XCH 4 , hereafter) from near infrared radiance measurements aboard the SCIAMACHY satellite (Frankenberg et al, 2006(Frankenberg et al, , 2011.…”
Section: Background On Four Corners Methane Hot Spotmentioning
In 2014, a satellite-based map of regional anomalies of atmospheric methane (CH4) column retrievals singled out the fossil fuel rich San Juan Basin (SJB) as the biggest CH4 regional anomaly (“hot spot”) in the United States. Over a 3-week period in April 2015, we conducted ground and airborne atmospheric measurements to investigate daily wind regimes and CH4 emissions in this region of SW Colorado and NW New Mexico. The SJB, similar to other topographical basins with local sources, experienced elevated surface air pollution under low wind and surface temperature inversion at night and early morning. Survey drives in the basin identified multiple CH4 and ethane (C2H6) sources with distinct C2H6-to-CH4 emission plume ratios for coal bed methane (CBM), natural gas, oil, and coal production operations. Air samples influenced by gas seepage from the Fruitland coal formation outcrop in La Plata County, CO, had enhanced CH4, with no C2-5 light alkane enhancements. In situ fast-response data from seven basin survey flights, all with westerly winds, were used to map and attribute the detected C2H6 and CH4 emission plumes. C2H6-to-CH4 plume enhancement correlation slopes increased from north to south, reflecting the composition of the natural gas and/or CBM extracted in different parts of the basin. Nearly 75% of the total detected CH4 and 85% of the total detected C2H6 hot spot were located in New Mexico. Emissions from CBM and natural gas operations contributed 66% to 75% of the CH4 hot spot. Emissions from oil operations in New Mexico contributed 5% to 6% of the CH4 hot spot and 8% to 14% of the C2H6 hot spot. Seepage from the Fruitland coal outcrop in Colorado contributed at most 8% of the total detected CH4, while gas venting from the San Juan underground coal mine contributed <2%.
“…However, satellite instruments have been shown to be capable of observing the downwind plume of large cities (e.g., Beirle et al, 2011Beirle et al, , 2019Lorente et al, 2019). In contrast, airborne imaging spectrometers have inherently much higher spatial resolutions of a few tens of meters and thus can retrieve detailed NO 2 maps for whole cities (Heue et al, 2008;Lawrence et al, 2015;Popp et al, 2012;Schönhardt et al, 2015;Tack et al, 2017;Nowlan et al, 2016;Tack et al, 2019). However, satellite and airborne instruments measure (tropospheric) vertical column densities (VCDs), while near-surface concentrations (NSCs) are the quantity of interest for the assessment of air pollution exposure.…”
Abstract. We present results from the Munich Nitrogen dioxide (NO2) Imaging Campaign (MuNIC), where NO2 near-surface concentrations (NSCs) and vertical column densities (VCDs) were measured with stationary, mobile, and airborne in situ and remote sensing instruments in Munich, Germany. The most intensive day of the campaign was 7 July 2016, when the NO2 VCD field was mapped with the Airborne Prism Experiment (APEX) imaging spectrometer.
The spatial distribution of APEX VCDs was rather smooth, with a horizontal gradient between lower values upwind and higher values downwind of the city center. The NO2 map had no pronounced source signatures except for the plumes of two combined heat and power (CHP) plants. The APEX VCDs have a fair correlation with mobile multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations from two vehicles conducted on the same afternoon (r=0.55).
In contrast to the VCDs, mobile NSC measurements revealed high spatial and temporal variability along the roads, with the highest values in congested areas and tunnels. The NOx emissions of the two CHP plants were estimated from the APEX observations using a mass-balance approach. The NOx emission estimates are consistent with CO2 emissions determined from two ground-based Fourier transform infrared (FTIR) instruments operated near one CHP plant. The estimates are higher than the reported emissions but are probably overestimated because the uncertainties are large, as conditions were unstable and convective with low and highly variable wind speeds. Under such conditions, the application of mass-balance approaches is problematic because they assume steady-state conditions. We conclude that airborne imaging spectrometers are well suited for mapping the spatial distribution of NO2 VCDs over large areas. The emission plumes of point sources can be detected in the APEX observations, but accurate flow fields are essential for estimating emissions with sufficient accuracy. The application of airborne imaging spectrometers for studying NSCs is less straightforward and requires us to account for the non-trivial relationship between VCDs and NSCs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.