Application of continuous remote sensing of mixing layer height for assessment of airport air quality

2010 ◽  
Author(s):  
Klaus Schäfer ◽  
Costas Helmis ◽  
Stefan Emeis ◽  
George Sgouros ◽  
Ralf Kurtenbach ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Air Quality ◽  
Mixing Layer ◽  
Layer Height ◽  
Mixing Layer Height

Comparison of different remote sensing methods for mixing layer height monitoring

2010 ◽  
Author(s):  
Stefan Emeis ◽  
Klaus Schäfer ◽  
Christoph Münkel ◽  
Roman Friedl ◽  
Peter Suppan
Keyword(s):  
Remote Sensing ◽  
Mixing Layer ◽  
Layer Height ◽  
Mixing Layer Height ◽  
Remote Sensing Methods

Impact of mixing layer height on air quality in winter

2020 ◽  
Vol 197 ◽  
pp. 105157 ◽  
Author(s):  
B.S. Murthy ◽  
R. Latha ◽  
Arpit Tiwari ◽  
Aditi Rathod ◽  
Siddhartha Singh ◽  
...  
Keyword(s):  
Air Quality ◽  
Mixing Layer ◽  
Layer Height ◽  
Mixing Layer Height

scholarly journals Multiple atmospheric layering and mixing-layer height in the Inn valley observed by remote sensing

2007 ◽  
Vol 16 (4) ◽  
pp. 415-424 ◽  
Author(s):  
Stefan Emeis ◽  
Carsten Jahn ◽  
Christoph Münkel ◽  
Caroline Münsterer ◽  
Klaus Schäfer
Keyword(s):  
Remote Sensing ◽  
Mixing Layer ◽  
Layer Height ◽  
Mixing Layer Height

scholarly journals Mixing layer height as an indicator for urban air quality?

2017 ◽  
Author(s):  
Alexander Geiß ◽  
Matthias Wiegner ◽  
Boris Bonn ◽  
Klaus Schäfer ◽  
Renate Forkel ◽  
...  
Keyword(s):  
Air Quality ◽  
Mixing Layer ◽  
Clear Correlation ◽  
Emission Sources ◽  
Near Surface ◽  
Layer Height ◽  
Diurnal Cycles ◽  
Pollutant Concentrations ◽  
Novel Approach ◽  
Mixing Layer Height

Abstract. The mixing layer height (MLH) is a measure for the vertical turbulent exchange within the boundary layer, which is one of the controlling factors for the dilution of pollutants emitted near the ground. Based on continuous MLH measurements with a Vaisala CL51 ceilometer and measurements from an air quality network, the relationship between MLH and near surface pollutant concentrations have been investigated. In this context the uncertainty of the MLH retrievals and the representativeness of ground-based in-situ measurements are crucial. We have investigated this topic by using data from the BAERLIN2014 campaign in Berlin, Germany, conducted during June and August 2014. To derive the MLH three versions of the proprietary software BL-VIEW and a novel approach COBOLT were compared. It was found that the overall agreement is reasonable if mean diurnal cycles are considered. The main advantage of COBOLT is the continuous detection of the MLH with a temporal resolution of 10 minutes and a lower number of cases when the residual layer is misinterpreted as mixing layer. We have calculated correlations between MLH as derived from the different retrievals and concentrations of pollutants (PM10, O3 and NOx) for different locations in the metropolitan area of Berlin. It was found that the correlations with PM10 are quite different for different sites without showing a clear pattern, whereas the correlation with NOx seems to depend on the vicinity of emission sources in main roads. In case of ozone as a secondary pollutant a clear correlation was found. We conclude that the effects of the heterogeneity of the emission sources, chemical processing and mixing during transport exceed the differences due to different MLH retrievals. Moreover, it seems to be unrealistic to find correlations between MLH and near surface pollutant concentrations representative for a city like Berlin, in particular when traffic emissions are dominant. Nevertheless it is worthwhile to use advanced MLH retrievals for ceilometer data, e.g. for the validation of chemical transport models.

scholarly journals Mixing layer height as an indicator for urban air quality?

2017 ◽  
Vol 10 (8) ◽  
pp. 2969-2988 ◽  
Author(s):  
Alexander Geiß ◽  
Matthias Wiegner ◽  
Boris Bonn ◽  
Klaus Schäfer ◽  
Renate Forkel ◽  
...  
Keyword(s):  
Air Quality ◽  
Mixing Layer ◽  
Clear Correlation ◽  
Emission Sources ◽  
Near Surface ◽  
Layer Height ◽  
Diurnal Cycles ◽  
Pollutant Concentrations ◽  
Novel Approach ◽  
Mixing Layer Height

Abstract. The mixing layer height (MLH) is a measure for the vertical turbulent exchange within the boundary layer, which is one of the controlling factors for the dilution of pollutants emitted near the ground. Based on continuous MLH measurements with a Vaisala CL51 ceilometer and measurements from an air quality network, the relationship between MLH and near-surface pollutant concentrations has been investigated. In this context the uncertainty of the MLH retrievals and the representativeness of ground-based in situ measurements are crucial. We have investigated this topic by using data from the BAERLIN2014 campaign in Berlin, Germany, conducted from June to August 2014. To derive the MLH, three versions of the proprietary software BL-VIEW and a novel approach COBOLT were compared. It was found that the overall agreement is reasonable if mean diurnal cycles are considered. The main advantage of COBOLT is the continuous detection of the MLH with a temporal resolution of 10 min and a lower number of cases when the residual layer is misinterpreted as mixing layer. We have calculated correlations between MLH as derived from the different retrievals and concentrations of pollutants (PM10, O3 and NOx) for different locations in the metropolitan area of Berlin. It was found that the correlations with PM10 are quite different for different sites without showing a clear pattern, whereas the correlation with NOx seems to depend on the vicinity of emission sources in main roads. In the case of ozone as a secondary pollutant, a clear correlation was found. We conclude that the effects of the heterogeneity of the emission sources, chemical processing and mixing during transport exceed the differences due to different MLH retrievals. Moreover, it seems to be unrealistic to find correlations between MLH and near-surface pollutant concentrations representative for a city like Berlin (flat terrain), in particular when traffic emissions are dominant. Nevertheless it is worthwhile to use advanced MLH retrievals for ceilometer data, for example as input to dispersion models and for the validation of chemical transport models.

scholarly journals Surface-based remote sensing of the mixing-layer height a review

2008 ◽  
Vol 17 (5) ◽  
pp. 621-630 ◽  
Author(s):  
Stefan Emeis ◽  
Klaus Schäfer ◽  
Christoph Münkel
Keyword(s):  
Remote Sensing ◽  
Mixing Layer ◽  
Layer Height ◽  
Mixing Layer Height

Mesoscale variability of the aerosol distribution as determined from ceilometer measurements

2020 ◽  
Author(s):  
Matthias Wiegner ◽  
Alexander Geiß ◽  
Ina Mattis ◽  
Fred Meier ◽  
Thomas Ruhtz
Keyword(s):  
Air Quality ◽  
Mixing Layer ◽  
Radiation Budget ◽  
Transport Models ◽  
Layer Height ◽  
Aerosol Distribution ◽  
Two Cities ◽  
Spatial Differences ◽  
Mixing Layer Height ◽  
Highly Correlated

<p>The spatial distribution of aerosol particles is relevant for studies on the radiation budget, for the verification of chemistry transport models, or for air quality studies just to name a few. As the distribution is highly variable the requirements to measurements are very demanding. As a consequence it is often assumed that the aerosol distribution is "relatively homogeneous", i.e., measurements at one site are representative for a larger area.</p><p>By exploiting 2 years of measurements from 12 ceilometers located in the area of Munich and Berlin, Germany, we have investigated the spatial differences between locations separated between 3~km and 50~km. For this purpose we have used the mixing layer height (MLH), a quantity often used when the vertical aerosol distribution should be described by a single parameter. The MLH was determined by the COBOLT-algorithm (Geiß et al., 2017). It was found that the MLHs at different locations inside the two cities are highly correlated and agree within a few tens of meters. However, the maximum extension of the mixing layer from April to September was found to be significantly larger in Berlin compared to Munich.</p><p><br>Geiß, A., Wiegner, M., Bonn, B., Schäfer, K., Forkel, R., von Schneidemesser, E., Münkel, C., Chan, K. L., and Nothard, R. (2017): Mixing layer height as an indicator for urban air quality?  Atmos. Meas. Tech., 10, 2969-2988, https://doi.org/10.5194/amt-10-2969-2017, 2017.</p>

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