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Assimilation of lidar signals: application to aerosol forecasting in the Mediterranean basin

Author
Wang, Y.; Sartelet, K.; Bocquet, M.; Sicard, M.; Comeron, A.; Garcia, D.; Muñoz, C.; Rocadenbosch, F.
Type of activity
Journal article
Journal
Atmospheric chemistry and physics
Date of publication
2014-11-17
Volume
14
First page
12031
Last page
12053
DOI
https://doi.org/10.5194/acp-14-12031-2014 Open in new window
Project funding
Aerosols, Clouds and Trace Gases Research Infrastructure Network
Participación española en ChArMEx (The Chemistry-Aerosol Mediterranean Experiment) ChArMEx-SP2
Repository
http://hdl.handle.net/2117/25064 Open in new window
URL
http://www.atmos-chem-phys.net/14/12031/2014/acp-14-12031-2014.html Open in new window
Abstract
This paper presents a new application of assimilating lidar signals to aerosol forecasting. It aims at investigating the impact of a ground-based lidar network on the analysis and short-term forecasts of aerosols through a case study in the Mediterranean basin. To do so, we employ a data assimilation (DA) algorithm based on the optimal interpolation method developed in the POLAIR3D chemistry transport model (CTM) of the POLYPHEMUS air quality modelling platform. We assimilate hourly averaged nor...
Citation
Wang, Y. [et al.]. Assimilation of lidar signals: application to aerosol forecasting in the Mediterranean basin. "Atmospheric chemistry and physics", 17 Novembre 2014, vol. 14, p. 12031-12053.
Keywords
Air quality model, Lidar assimilation
Group of research
RSLAB - Remote Sensing Lab

Participants

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