Zobrazeno 1 - 10
of 91
pro vyhledávání: '"E. Emili"'
Autor:
M. Plu, G. Bigeard, B. Sič, E. Emili, L. Bugliaro, L. El Amraoui, J. Guth, B. Josse, L. Mona, D. Piontek
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 21, Pp 3731-3747 (2021)
Numerical dispersion models are used operationally worldwide to mitigate the effect of volcanic ash on aviation. In order to improve the representation of the horizontal dispersion of ash plumes and of the 3D concentration of ash, a study was conduct
Externí odkaz:
https://doaj.org/article/84e7d414551143d88f9940761bbd7082
Autor:
E. Emili, M. El Aabaribaoune
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 6291-6308 (2021)
The information content of thermal infrared measurements for tropospheric ozone (O3) estimation has already been well demonstrated. However, the impact of such measurements to constrain modelled O3 distributions within global assimilation systems is
Externí odkaz:
https://doaj.org/article/c14f553421e04a8c89ea2e6b34407354
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 2841-2856 (2021)
In atmospheric chemistry retrievals and data assimilation systems, observation errors associated with satellite radiances are chosen empirically and generally treated as uncorrelated. In this work, we estimate inter-channel error covariances for the
Externí odkaz:
https://doaj.org/article/9bb9023147aa4a74800ab7036741516c
Publikováno v:
Atmospheric Measurement Techniques, Vol 13, Pp 5237-5257 (2020)
The MetOp/Infrared Atmospheric Sounding Interferometer (IASI) instruments have provided data for operational meteorology and document atmospheric composition since 2007. IASI ozone (O3) data have been used extensively to characterize the seasonal and
Externí odkaz:
https://doaj.org/article/bcacae62d7d243af819bcab370ec7c90
Publikováno v:
Atmospheric Measurement Techniques, Vol 12, Pp 3963-3984 (2019)
The prior information used for Level 2 (L2) retrievals in the thermal infrared can influence the quality of the retrievals themselves and, therefore, their further assimilation in atmospheric composition models. In this study we evaluate the differen
Externí odkaz:
https://doaj.org/article/05144169d88b4520bf7f5c07c18840a9
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 6939-6958 (2018)
The Infrared Atmospheric Sounder Instrument (IASI) allows global coverage with very high spatial resolution and its measurements are promising for long-term ozone monitoring. In this study, Microwave Limb Sounder (MLS) O3 profiles and IASI O3 part
Externí odkaz:
https://doaj.org/article/b0ddf9f300944a1db1172f0875b80b87
Autor:
L. Costantino, J. Cuesta, E. Emili, A. Coman, G. Foret, G. Dufour, M. Eremenko, Y. Chailleux, M. Beekmann, J.-M. Flaud
Publikováno v:
Atmospheric Measurement Techniques, Vol 10, Iss 4, Pp 1281-1298 (2017)
Present and future satellite observations offer great potential for monitoring air quality on a daily and global basis. However, measurements from currently orbiting satellites do not allow a single sensor to accurately probe surface concentrations o
Externí odkaz:
https://doaj.org/article/56803f3eb3034772acd0adf17d4ef6ac
Autor:
B. Sič, L. El Amraoui, A. Piacentini, V. Marécal, E. Emili, D. Cariolle, M. Prather, J.-L. Attié
Publikováno v:
Atmospheric Measurement Techniques, Vol 9, Pp 5535-5554 (2016)
In this study, we describe the development of the aerosol optical depth (AOD) assimilation module in the chemistry transport model (CTM) MOCAGE (Modèle de Chimie Atmosphérique à Grande Echelle). Our goal is to assimilate the spatially averaged
Externí odkaz:
https://doaj.org/article/2bb8e10fea684102ac78977feaf110d8
Publikováno v:
Geoscientific Model Development, Vol 9, Pp 3933-3959 (2016)
Model errors play a significant role in air quality forecasts. Accounting for them in the data assimilation (DA) procedures is decisive to obtain improved forecasts. We address this issue using a reduced-order coupled chemistry–meteorology model
Externí odkaz:
https://doaj.org/article/075bf42096ac41438a549b61b8f16a56
Autor:
V. Marécal, V.-H. Peuch, C. Andersson, S. Andersson, J. Arteta, M. Beekmann, A. Benedictow, R. Bergström, B. Bessagnet, A. Cansado, F. Chéroux, A. Colette, A. Coman, R. L. Curier, H. A. C. Denier van der Gon, A. Drouin, H. Elbern, E. Emili, R. J. Engelen, H. J. Eskes, G. Foret, E. Friese, M. Gauss, C. Giannaros, J. Guth, M. Joly, E. Jaumouillé, B. Josse, N. Kadygrov, J. W. Kaiser, K. Krajsek, J. Kuenen, U. Kumar, N. Liora, E. Lopez, L. Malherbe, I. Martinez, D. Melas, F. Meleux, L. Menut, P. Moinat, T. Morales, J. Parmentier, A. Piacentini, M. Plu, A. Poupkou, S. Queguiner, L. Robertson, L. Rouïl, M. Schaap, A. Segers, M. Sofiev, L. Tarasson, M. Thomas, R. Timmermans, Á. Valdebenito, P. van Velthoven, R. van Versendaal, J. Vira, A. Ung
Publikováno v:
Geoscientific Model Development, Vol 8, Iss 9, Pp 2777-2813 (2015)
This paper describes the pre-operational analysis and forecasting system developed during MACC (Monitoring Atmospheric Composition and Climate) and continued in the MACC-II (Monitoring Atmospheric Composition and Climate: Interim Implementation) Euro
Externí odkaz:
https://doaj.org/article/c612422c12ab474db1e6d536ddaace0a