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Volume 16, issue 1
Atmos. Chem. Phys., 16, 397–416, 2016
https://doi.org/10.5194/acp-16-397-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 397–416, 2016
https://doi.org/10.5194/acp-16-397-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Jan 2016

Research article | 18 Jan 2016

Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale

P. Crippa et al.

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Cited articles

Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F. S., and Shankar, U.: Modal aerosol dynamics model for Europe: development and first applications, Atmos. Environ., 32, 2981–2999, https://doi.org/10.1016/S1352-2310(98)00006-5, 1998.
Aksoyoglu, S., Keller, J., Barmpadimos, I., Oderbolz, D., Lanz, V. A., Prévôt, A. S. H., and Baltensperger, U.: Aerosol modelling in Europe with a focus on Switzerland during summer and winter episodes, Atmos. Chem. Phys., 11, 7355–7373, https://doi.org/10.5194/acp-11-7355-2011, 2011.
Alston, E. J., Sokolik, I. N., and Kalashnikova, O. V.: Characterization of atmospheric aerosol in the US Southeast from ground- and space-based measurements over the past decade, Atmos. Meas. Tech., 5, 1667–1682, https://doi.org/10.5194/amt-5-1667-2012, 2012.
Anderson, J. C., Wang, J., Zeng, J., Leptoukh, G., Petrenko, M., Ichoku, C., and Hu, C.: Long-term statistical assessment of Aqua-MODIS aerosol optical depth over coastal regions: bias characteristics and uncertainty sources, Tellus Series B-Chemical and Physical Meteorology, 65, ISSN 1600-0889, https://doi.org/10.3402/tellusb.v65i0.20805, 2013.
Anderson, J. R., Hardy, E. E., Roach, J. T., and Witmer, R. E.: A land use and land cover classification system for use with remote sensor data, Report 964, 1976.
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We evaluate the performance of high-resolution simulations of the Weather Research and Forecasting model coupled with Chemistry in capturing spatiotemporal variability of aerosol optical properties by comparison with ground- and space- based remote-sensing observations and investigate causes of model biases. This work contributes to assessing the model's ability to describe drivers of aerosol direct radiative forcing in the contemporary climate and to improving confidence in future projections.
We evaluate the performance of high-resolution simulations of the Weather Research and...
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