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Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions
Biomass burning (BB) is a major source of aerosols that remain the most uncertain components of t...
Q Zhong, N Schutgens, GR van der Werf, T van Noije, SE Bauer, K Tsigaridis, T Mielonen, R Checa-Garcia, D Neubauer, Z Kipling, A Kirkevåg, DJL Olivié, H Kokkola, H Matsui, P Ginoux, T Takemura, P Le Sager, S Rémy, H Bian, M Chin | Journal: Nat. Commun. | Volume: 13 | Year: 2022 | First page: 5914 | doi: 10.1038/s41467-022-33680-4
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Data assimilation of surface air pollutants (O3 and NO2) in the regional-scale air quality model AURORA
In the present work, a bias-aware optimal interpolation in conjunction with the Hollingsworthe
Lö...
U Kumar, K De Ridder, W Lefebvre, S Janssen | Status: published | Journal: Atmos. Environm. | Volume: 46 | Year: 2012 | First page: 99 | Last page: 108 | doi: 10.1016/j.atmosenv.2012.06.005
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Impact of HARMONIE high-resolution meteorological forecasts on the air quality simulations of LOTOS-EUROS
In this study, we couple the LOTOS-EUROS model with high resolution meteorological forecasts from...
J Ding, HJ Eskes, U Kumar, M Krol | Year: 2013 | Pages: 46
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Statistical Quality Control of High-Resolution Winds of Different Radiosonde Types for Climatology Analysis
Quality control (QC) is among the most important steps in any data processing. These steps are el...
K Houchi, A Stoffelen, GJ Marseille, J de Kloe | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 32 | Year: 2015 | First page: 1796 | Last page: 1812 | doi: DOI: 10.1175/JTECH-D-14-00160.1
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Observing Three dimensional Water Vapour using a surface network of GPS receivers
Atmospheric water vapour is highly variable both in space and time.
In an operational sense, only...
S de Haan, H van der Marel | Status: submitted | Journal: Atm. Chem. Phys. | Year: 2008
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