Articles | Volume 13, issue 1
Atmos. Chem. Phys., 13, 269–283, 2013
https://doi.org/10.5194/acp-13-269-2013
Atmos. Chem. Phys., 13, 269–283, 2013
https://doi.org/10.5194/acp-13-269-2013
Research article
11 Jan 2013
Research article | 11 Jan 2013

Assimilation of ground versus lidar observations for PM10 forecasting

Y. Wang et al.

Related authors

Modelling and assimilation of lidar signals over Greater Paris during the MEGAPOLI summer campaign
Y. Wang, K. N. Sartelet, M. Bocquet, and P. Chazette
Atmos. Chem. Phys., 14, 3511–3532, https://doi.org/10.5194/acp-14-3511-2014,https://doi.org/10.5194/acp-14-3511-2014, 2014

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Causal influences of El Niño–Southern Oscillation on global dust activities
Thanh Le and Deg-Hyo Bae
Atmos. Chem. Phys., 22, 5253–5263, https://doi.org/10.5194/acp-22-5253-2022,https://doi.org/10.5194/acp-22-5253-2022, 2022
Short summary
Formation, radiative forcing, and climatic effects of severe regional haze
Yun Lin, Yuan Wang, Bowen Pan, Jiaxi Hu, Song Guo, Misti Levy Zamora, Pengfei Tian, Qiong Su, Yuemeng Ji, Jiayun Zhao, Mario Gomez-Hernandez, Min Hu, and Renyi Zhang
Atmos. Chem. Phys., 22, 4951–4967, https://doi.org/10.5194/acp-22-4951-2022,https://doi.org/10.5194/acp-22-4951-2022, 2022
Short summary
Advances in air quality research – current and emerging challenges
Ranjeet S. Sokhi, Nicolas Moussiopoulos, Alexander Baklanov, John Bartzis, Isabelle Coll, Sandro Finardi, Rainer Friedrich, Camilla Geels, Tiia Grönholm, Tomas Halenka, Matthias Ketzel, Androniki Maragkidou, Volker Matthias, Jana Moldanova, Leonidas Ntziachristos, Klaus Schäfer, Peter Suppan, George Tsegas, Greg Carmichael, Vicente Franco, Steve Hanna, Jukka-Pekka Jalkanen, Guus J. M. Velders, and Jaakko Kukkonen
Atmos. Chem. Phys., 22, 4615–4703, https://doi.org/10.5194/acp-22-4615-2022,https://doi.org/10.5194/acp-22-4615-2022, 2022
Short summary
Large-eddy-simulation study on turbulent particle deposition and its dependence on atmospheric-boundary-layer stability
Xin Yin, Cong Jiang, Yaping Shao, Ning Huang, and Jie Zhang
Atmos. Chem. Phys., 22, 4509–4522, https://doi.org/10.5194/acp-22-4509-2022,https://doi.org/10.5194/acp-22-4509-2022, 2022
Short summary
Aerosol indirect effects in complex-orography areas: a numerical study over the Great Alpine Region
Anna Napoli, Fabien Desbiolles, Antonio Parodi, and Claudia Pasquero
Atmos. Chem. Phys., 22, 3901–3909, https://doi.org/10.5194/acp-22-3901-2022,https://doi.org/10.5194/acp-22-3901-2022, 2022
Short summary

Cited articles

Baker, D. F., BÖsch, H., Doney, S. C., O'Brien, D., and Schimel, D. S.: Carbon source/sink information provided by column CO2 measurements from the Orbiting Carbon Observatory, Atmos. Chem. Phys., 10, 4145–4165, https://doi.org/10.5194/acp-10-4145-2010, 2010.
Balgovind, R., Dalcher, A., Ghil, M., and Kalnay, E.: A Stochastic- Dynamic Model for the Spatial Structure of Forecast Error Statistics, Mon. Weather Rev., 111, 701–722, 1983.
Barker, J. and Tingey, D. T. : Air Pollution Effects on Biodiversity, 304 pp., Springer, New York, USA, 1992.
Benedetti, A. and Fisher, M. : Background error statistics for aerosols, Q. J. Roy. Meteor. Soc., 133, 391–405, 2007.
Berthier, S., Chazette, P., Couvert, P., Pelon, J., Dulac, F., Thieuleux, F., Moulin, C., and Pain T. : Desert dust aerosol columnar properties over ocean and continental Africa from Lidar in-Space Technology Experiment (LITE) and Meteosat synergy, J. Geophys. Res., 111, D21202, https://doi.org/10.1029/2005JD006999, 2006.
Download
Altmetrics
Final-revised paper
Preprint