Articles | Volume 8, issue 9
Atmos. Meas. Tech., 8, 3577–3600, 2015
https://doi.org/10.5194/amt-8-3577-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: EARLINET, the European Aerosol Research Lidar Network
Research article
04 Sep 2015
Research article
| 04 Sep 2015
A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals
I. Binietoglou et al.
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53 citations as recorded by crossref.
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- Analysis of a warehouse fire smoke plume over Paris with an N<sub>2</sub> Raman lidar and an optical thickness matching algorithm X. Shang et al. 10.5194/amt-11-6525-2018
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- Influence of the morphological change in natural Asian dust during transport: A modeling study for a typical dust event over northern China Y. Tian et al. 10.1016/j.scitotenv.2020.139791
- Multifrequency lidar sensing of atmospheric aerosol under conditions of information uncertainty S. Lysenko et al. 10.1134/S1024856016060099
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- Chemical speciation of PM2.5 in Tehran: Quantification of dust contribution and model validation M. Yasar et al. 10.1016/j.apr.2020.07.020
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- Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0 M. Klose et al. 10.5194/gmd-14-6403-2021
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- Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations D. O'Sullivan et al. 10.5194/acp-20-12955-2020
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