Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
Volume 10, issue 8
Atmos. Meas. Tech., 10, 2969-2988, 2017
https://doi.org/10.5194/amt-10-2969-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 10, 2969-2988, 2017
https://doi.org/10.5194/amt-10-2969-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Aug 2017

Research article | 18 Aug 2017

Mixing layer height as an indicator for urban air quality?

Alexander Geiß et al.
Related authors  
Evaluation of ECMWF-IFS (version 41R1) operational model forecasts of aerosol transport by using ceilometer network measurements
Ka Lok Chan, Matthias Wiegner, Harald Flentje, Ina Mattis, Frank Wagner, Josef Gasteiger, and Alexander Geiß
Geosci. Model Dev., 11, 3807-3831, https://doi.org/10.5194/gmd-11-3807-2018,https://doi.org/10.5194/gmd-11-3807-2018, 2018
Short summary
Related subject area  
Subject: Aerosols | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Stratospheric aerosol characteristics from space-borne observations: extinction coefficient and Ångström exponent
Elizaveta Malinina, Alexei Rozanov, Landon Rieger, Adam Bourassa, Heinrich Bovensmann, John P. Burrows, and Doug Degenstein
Atmos. Meas. Tech., 12, 3485-3502, https://doi.org/10.5194/amt-12-3485-2019,https://doi.org/10.5194/amt-12-3485-2019, 2019
Short summary
Retrieval of aerosol properties from ceilometer and photometer measurements: long-term evaluation with in situ data and statistical analysis at Montsec (southern Pyrenees)
Gloria Titos, Marina Ealo, Roberto Román, Alberto Cazorla, Yolanda Sola, Oleg Dubovik, Andrés Alastuey, and Marco Pandolfi
Atmos. Meas. Tech., 12, 3255-3267, https://doi.org/10.5194/amt-12-3255-2019,https://doi.org/10.5194/amt-12-3255-2019, 2019
Short summary
Novel aerosol extinction coefficients and lidar ratios over the ocean from CALIPSO–CloudSat: evaluation and global statistics
David Painemal, Marian Clayton, Richard Ferrare, Sharon Burton, Damien Josset, and Mark Vaughan
Atmos. Meas. Tech., 12, 2201-2217, https://doi.org/10.5194/amt-12-2201-2019,https://doi.org/10.5194/amt-12-2201-2019, 2019
Short summary
Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface
Christopher J. Crawford, Jeannette van den Bosch, Kelly M. Brunt, Milton G. Hom, John W. Cooper, David J. Harding, James J. Butler, Philip W. Dabney, Thomas A. Neumann, Craig S. Cleckner, and Thorsten Markus
Atmos. Meas. Tech., 12, 1913-1933, https://doi.org/10.5194/amt-12-1913-2019,https://doi.org/10.5194/amt-12-1913-2019, 2019
Short summary
Accuracy Assessment of MODIS Land Aerosol Optical Thickness Algorithms using AERONET Measurements
Hiren Jethva, Omar Torres, and Yasuko Yoshida
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-77,https://doi.org/10.5194/amt-2019-77, 2019
Revised manuscript accepted for AMT
Cited articles  
Alföldy, B., Osán, J., Toth, Z., Török, S., Harbusch, A., Jahn, C., Emeis, S., and Schäfer, K.: Aerosol optical depth, aerosol composition and air pollution during summer and winter conditions in Budapest, Sci. Total Environ., 383, 141–163, 2007.
Baars, H., Ansmann, A., Engelmann, R., and Althausen, D.: Continuous monitoring of the boundary-layer top with lidar, Atmos. Chem. Phys., 8, 7281–7296, https://doi.org/10.5194/acp-8-7281-2008, 2008.
Bachtiar, V. S., Davies, F., and Danson, F. M.: A combined model for improving estimation of atmospheric boundary layer height, Atmos. Environ. 98, 461–473, https://doi.org/10.1016/j.atmosenv.2014.09.028, 2014.
Banks, R. F., Tiana-Alsina, J., Baldasano, J. M., Rocadenbosch, F., Papayannis, A., Solomos, S., and Tzanis, C. G.: Sensitivity of boundary-layer variables to PBL schemes in the WRF model based on surface meteorological observations, lidar, and radiosondes during the HygrA-CD campaign, Atmos. Res., 176–177, 185–201, https://doi.org/10.1016/j.atmosres.2016.02.024, 2016.
Barlow, J. F.: Progress in observing and modelling the urban boundary layer, Urban Climate, 10, 216–240, https://doi.org/10.1016/j.uclim.2014.03.011, 2014.
Publications Copernicus
Download
Short summary
Based on measurements with a ceilometer and from an air quality network, the relationship between the mixing layer height (MLH) and near surface concentrations of pollutants was investigated for summer 2014 in Berlin. It was found that the heterogeneity of the concentrations exceeds the differences due to different MLH retrievals. In particular for PM10 it seems to be unrealistic to find correlations between MLH and concentrations representative for an entire metropolitan area in flat terrain.
Based on measurements with a ceilometer and from an air quality network, the relationship...
Citation