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)
Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the southeast Atlantic region
Alexandre Siméon, Fabien Waquet, Jean-Christophe Péré, Fabrice Ducos, François Thieuleux, Fanny Peers, Solène Turquety, and Isabelle Chiapello
Atmos. Chem. Phys., 21, 17775–17805, https://doi.org/10.5194/acp-21-17775-2021,https://doi.org/10.5194/acp-21-17775-2021, 2021
Short summary
Is the Atlantic Ocean driving the recent variability in South Asian dust?
Priyanka Banerjee, Sreedharan Krishnakumari Satheesh, and Krishnaswamy Krishna Moorthy
Atmos. Chem. Phys., 21, 17665–17685, https://doi.org/10.5194/acp-21-17665-2021,https://doi.org/10.5194/acp-21-17665-2021, 2021
Short summary
Molecular-scale description of interfacial mass transfer in phase-separated aqueous secondary organic aerosol
Mária Lbadaoui-Darvas, Satoshi Takahama, and Athanasios Nenes
Atmos. Chem. Phys., 21, 17687–17714, https://doi.org/10.5194/acp-21-17687-2021,https://doi.org/10.5194/acp-21-17687-2021, 2021
Short summary
Exploring the uncertainties in the aviation soot–cirrus effect
Mattia Righi, Johannes Hendricks, and Christof Gerhard Beer
Atmos. Chem. Phys., 21, 17267–17289, https://doi.org/10.5194/acp-21-17267-2021,https://doi.org/10.5194/acp-21-17267-2021, 2021
Short summary
Reduced effective radiative forcing from cloud–aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth system model
Sara Marie Blichner, Moa Kristina Sporre, and Terje Koren Berntsen
Atmos. Chem. Phys., 21, 17243–17265, https://doi.org/10.5194/acp-21-17243-2021,https://doi.org/10.5194/acp-21-17243-2021, 2021
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