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 9, issue 7
Atmos. Meas. Tech., 9, 3193–3203, 2016
https://doi.org/10.5194/amt-9-3193-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 3193–3203, 2016
https://doi.org/10.5194/amt-9-3193-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 21 Jul 2016

Research article | 21 Jul 2016

Comparison of MODIS and VIIRS cloud properties with ARM ground-based observations over Finland

Moa K. Sporre et al.
Related authors  
Ship plumes in the Baltic Sea Sulphur Emission Control Area: Chemical characterization and contribution to coastal aerosol concentrations
Stina Ausmeel, Axel Eriksson, Erik Ahlberg, Moa K. Sporre, Mårten Spanne, and Adam Kristensson
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1016,https://doi.org/10.5194/acp-2019-1016, 2019
Manuscript under review for ACP
Short summary
Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, and their application in aerosol-cloud interaction
Giulia Saponaro, Moa K. Sporre, David Neubauer, Harri Kokkola, Pekka Kolmonen, Larisa Sogacheva, Antti Arola, Gerrit de Leeuw, Inger H. H. Karset, Ari Laaksonen, and Ulrike Lohmann
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-631,https://doi.org/10.5194/acp-2019-631, 2019
Revised manuscript under review for ACP
Short summary
BVOC–aerosol–climate feedbacks investigated using NorESM
Moa K. Sporre, Sara M. Blichner, Inger H. H. Karset, Risto Makkonen, and Terje K. Berntsen
Atmos. Chem. Phys., 19, 4763–4782, https://doi.org/10.5194/acp-19-4763-2019,https://doi.org/10.5194/acp-19-4763-2019, 2019
Short summary
Exploring sources of biogenic secondary organic aerosol compounds using chemical analysis and the FLEXPART model
Johan Martinsson, Guillaume Monteil, Moa K. Sporre, Anne Maria Kaldal Hansen, Adam Kristensson, Kristina Eriksson Stenström, Erik Swietlicki, and Marianne Glasius
Atmos. Chem. Phys., 17, 11025–11040, https://doi.org/10.5194/acp-17-11025-2017,https://doi.org/10.5194/acp-17-11025-2017, 2017
Short summary
Carbonaceous aerosol source apportionment using the Aethalometer model – evaluation by radiocarbon and levoglucosan analysis at a rural background site in southern Sweden
Johan Martinsson, Hafiz Abdul Azeem, Moa K. Sporre, Robert Bergström, Erik Ahlberg, Emilie Öström, Adam Kristensson, Erik Swietlicki, and Kristina Eriksson Stenström
Atmos. Chem. Phys., 17, 4265–4281, https://doi.org/10.5194/acp-17-4265-2017,https://doi.org/10.5194/acp-17-4265-2017, 2017
Short summary
Related subject area  
Subject: Clouds | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Cross-comparison of cloud liquid water path derived from observations by two space-borne and one ground-based instrument in northern Europe
Vladimir S. Kostsov, Anke Kniffka, Martin Stengel, and Dmitry V. Ionov
Atmos. Meas. Tech., 12, 5927–5946, https://doi.org/10.5194/amt-12-5927-2019,https://doi.org/10.5194/amt-12-5927-2019, 2019
Short summary
The impact of neglecting ice phase on cloud optical depth retrievals from AERONET cloud mode observations
Jonathan K. P. Shonk, Jui-Yuan Christine Chiu, Alexander Marshak, David M. Giles, Chiung-Huei Huang, Gerald G. Mace, Sally Benson, Ilya Slutsker, and Brent N. Holben
Atmos. Meas. Tech., 12, 5087–5099, https://doi.org/10.5194/amt-12-5087-2019,https://doi.org/10.5194/amt-12-5087-2019, 2019
Short summary
Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks
Chaojun Shi, Yatong Zhou, Bo Qiu, Jingfei He, Mu Ding, and Shiya Wei
Atmos. Meas. Tech., 12, 4713–4724, https://doi.org/10.5194/amt-12-4713-2019,https://doi.org/10.5194/amt-12-4713-2019, 2019
Short summary
Comparison of the cloud top heights retrieved from MODIS and AHI satellite data with ground-based Ka-band radar
Juan Huo, Daren Lu, Shu Duan, Yongheng Bi, and Bo Liu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-276,https://doi.org/10.5194/amt-2019-276, 2019
Revised manuscript accepted for AMT
Short summary
Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?
Maximilian Maahn, Fabian Hoffmann, Matthew D. Shupe, Gijs de Boer, Sergey Y. Matrosov, and Edward P. Luke
Atmos. Meas. Tech., 12, 3151–3171, https://doi.org/10.5194/amt-12-3151-2019,https://doi.org/10.5194/amt-12-3151-2019, 2019
Short summary
Cited articles  
Ackerman, T. P. and Stokes, G. M.: The Atmospheric Radiation Measurement Program, Physics Today, 56, 38–44, https://doi.org/10.1063/1.1554135, 2003.
Aisheng, W., Xiaoxiong, X., Doelling, D. R., Morstad, D., Angal, A., and Bhatt, R.: Characterization of Terra and Aqua MODIS VIS, NIR, and SWIR Spectral Bands' Calibration Stability, IEEE T. Geosci. Remote., 51, 4330–4338, https://doi.org/10.1109/tgrs.2012.2226588, 2013.
Baum, B. A., Menzel, W. P., Frey, R. A., Tobin, D. C., Holz, R. E., Ackerman, S. A., Heidinger, A. K., and Yang, P.: MODIS Cloud-Top Property Refinements for Collection 6, J. Appl. Meteorol. Clim., 51, 1145–1163, 2012.
Cao, C., Xiong, J., Blonski, S., Liu, Q., Uprety, S., Shao, X., Bai, Y., and Weng, F.: Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring, J. Geophys. Res.-Atmos., 118, 11664–11678, https://doi.org/10.1002/2013jd020418, 2013.
Cess, R. D., Zhang, M. H., Zhou, Y., Jing, X., and Dvortsov, V.: Absorption of solar radiation by clouds: Interpretations of satellite, surface, and aircraft measurements, J. Geophys. Res.-Atmos., 101, 23299–23309, 1996.
Publications Copernicus
Download
Short summary
Satellite measurements of cloud top height and liquid water path are compared to ground-based remote sensing to evaluate the satellite retrievals. The overall performance of the satellite retrievals of cloud top height are good, but they become more problematic when several layers of clouds are present. The liquid water path retrievals also agree well, and the average differences are within the estimated measurement uncertainties.
Satellite measurements of cloud top height and liquid water path are compared to ground-based...
Citation