Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
GMD | Articles | Volume 11, issue 7
Geosci. Model Dev., 11, 2739–2762, 2018
https://doi.org/10.5194/gmd-11-2739-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 2739–2762, 2018
https://doi.org/10.5194/gmd-11-2739-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 11 Jul 2018

Model description paper | 11 Jul 2018

MOPSMAP v1.0: a versatile tool for the modeling of aerosol optical properties

Josef Gasteiger and Matthias Wiegner
Related authors  
Sun photometer retrievals of Saharan dust properties over Barbados during SALTRACE
Carlos Toledano, Benjamín Torres, Cristian Velasco-Merino, Dietrich Althausen, Silke Groß, Matthias Wiegner, Bernadett Weinzierl, Josef Gasteiger, Albert Ansmann, Ramiro González, David Mateos, David Farrel, Thomas Müller, Moritz Haarig, and Victoria E. Cachorro
Atmos. Chem. Phys., 19, 14571–14583, https://doi.org/10.5194/acp-19-14571-2019,https://doi.org/10.5194/acp-19-14571-2019, 2019
Short summary
Flow-induced errors in airborne in-situ measurements of aerosols and clouds
Antonio Spanu, Maximilian Dollner, Josef Gasteiger, T. Paul Bui, and Bernadett Weinzierl
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-27,https://doi.org/10.5194/amt-2019-27, 2019
Revised manuscript under review for AMT
Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015
Matthias Wiegner, Ina Mattis, Margit Pattantyús-Ábrahám, Juan Antonio Bravo-Aranda, Yann Poltera, Alexander Haefele, Maxime Hervo, Ulrich Görsdorf, Ronny Leinweber, Josef Gasteiger, Martial Haeffelin, Frank Wagner, Jan Cermak, Katerina Komínková, Mike Brettle, Christoph Münkel, and Kornelia Pönitz
Atmos. Meas. Tech., 12, 471–490, https://doi.org/10.5194/amt-12-471-2019,https://doi.org/10.5194/amt-12-471-2019, 2019
Short summary
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
Dry versus wet marine particle optical properties: RH dependence of depolarization ratio, backscatter, and extinction from multiwavelength lidar measurements during SALTRACE
Moritz Haarig, Albert Ansmann, Josef Gasteiger, Konrad Kandler, Dietrich Althausen, Holger Baars, Martin Radenz, and David A. Farrell
Atmos. Chem. Phys., 17, 14199–14217, https://doi.org/10.5194/acp-17-14199-2017,https://doi.org/10.5194/acp-17-14199-2017, 2017
Short summary
Related subject area  
Atmospheric Sciences
Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data
Luolin Wu, Ming Chang, Xuemei Wang, Jian Hang, Jinpu Zhang, Liqing Wu, and Min Shao
Geosci. Model Dev., 13, 23–40, https://doi.org/10.5194/gmd-13-23-2020,https://doi.org/10.5194/gmd-13-23-2020, 2020
Short summary
An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3)
Li Wu, Tao Zhang, Yi Qin, and Wei Xue
Geosci. Model Dev., 13, 41–53, https://doi.org/10.5194/gmd-13-41-2020,https://doi.org/10.5194/gmd-13-41-2020, 2020
Short summary
Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0)
Soledad Osores, Juan Ruiz, Arnau Folch, and Estela Collini
Geosci. Model Dev., 13, 1–22, https://doi.org/10.5194/gmd-13-1-2020,https://doi.org/10.5194/gmd-13-1-2020, 2020
Short summary
Algorithmic differentiation for cloud schemes (IFS Cy43r3) using CoDiPack (v1.8.1)
Manuel Baumgartner, Max Sagebaum, Nicolas R. Gauger, Peter Spichtinger, and André Brinkmann
Geosci. Model Dev., 12, 5197–5212, https://doi.org/10.5194/gmd-12-5197-2019,https://doi.org/10.5194/gmd-12-5197-2019, 2019
Short summary
Explicit aerosol–cloud interactions in the Dutch Atmospheric Large-Eddy Simulation model DALES4.1-M7
Marco de Bruine, Maarten Krol, Jordi Vilà-Guerau de Arellano, and Thomas Röckmann
Geosci. Model Dev., 12, 5177–5196, https://doi.org/10.5194/gmd-12-5177-2019,https://doi.org/10.5194/gmd-12-5177-2019, 2019
Short summary
Cited articles  
Baklanov, A., Schlünzen, K., Suppan, P., Baldasano, J., Brunner, D., Aksoyoglu, S., Carmichael, G., Douros, J., Flemming, J., Forkel, R., Galmarini, S., Gauss, M., Grell, G., Hirtl, M., Joffre, S., Jorba, O., Kaas, E., Kaasik, M., Kallos, G., Kong, X., Korsholm, U., Kurganskiy, A., Kushta, J., Lohmann, U., Mahura, A., Manders-Groot, A., Maurizi, A., Moussiopoulos, N., Rao, S. T., Savage, N., Seigneur, C., Sokhi, R. S., Solazzo, E., Solomos, S., Sørensen, B., Tsegas, G., Vignati, E., Vogel, B., and Zhang, Y.: Online coupled regional meteorology chemistry models in Europe: current status and prospects, Atmos. Chem. Phys., 14, 317–398, https://doi.org/10.5194/acp-14-317-2014, 2014. a
Balzarini, A., Pirovano, G., Honzak, L., Žabkar, R., Curci, G., Forkel, R., Hirtl, M., José, R. S., Tuccella, P., and Grell, G.: WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties, Atmospheric Environ., 115, 604 – 619, https://doi.org/10.1016/j.atmosenv.2014.12.033, 2015. a
Bell, S. W., Hansell, R. A., Chow, J. C., Tsay, S.-C., Hsu, N. C., Lin, N.-H., Wang, S.-H., Ji, Q., Li, C., Watson, J. G., and Khlystov, A.: Constraining aerosol optical models using ground-based, collocated particle size and mass measurements in variable air mass regimes during the 7-SEAS/Dongsha experiment, Atmos. Environ., 78, 163–173, https://doi.org/10.1016/j.atmosenv.2012.06.057, 2013. a
Bi, L., Yang, P., Kattawar, G. W., and Kahn, R.: Single-scattering properties of triaxial ellipsoidal particles for a size parameter range from the Rayleigh to geometric-optics regimes, Appl. Opt., 48, 114–126, https://doi.org/10.1364/AO.48.000114, 2009. a, b
Binkowski, F. S. and Shankar, U.: The Regional Particulate Matter Model: 1. Model description and preliminary results, J. Geophys. Res.-Atmos., 100, 26191–26209, https://doi.org/10.1029/95JD02093, 1995. a
Publications Copernicus
Download
Short summary
A software package has been developed to model optical properties of atmospheric aerosol ensembles based on a pre-calculated single particle data set. Spherical particles, spheroids, and a small set of irregular shapes are covered. A flexible and intuitive web interface is provided for online calculations of user-defined ensembles. The paper describes the package and outlines several applications, e.g., optical properties for aerosol size bins of an aerosol transport model.
A software package has been developed to model optical properties of atmospheric aerosol...
Citation