Zobrazeno 1 - 10
of 373
pro vyhledávání: '"S. Basart"'
Autor:
D. Bowdalo, S. Basart, M. Guevara, O. Jorba, C. Pérez García-Pando, M. Jaimes Palomera, O. Rivera Hernandez, M. Puchalski, D. Gay, J. Klausen, S. Moreno, S. Netcheva, O. Tarasova
Publikováno v:
Earth System Science Data, Vol 16, Pp 4417-4495 (2024)
GHOST (Globally Harmonised Observations in Space and Time) represents one of the biggest collections of harmonised measurements of atmospheric composition at the surface. In total, 7 275 148 646 measurements from 1970 to 2023, of 227 different compon
Externí odkaz:
https://doaj.org/article/2eebc8eec1ba47c9a8189d7ab6400a58
Autor:
E. Cuevas-Agulló, D. Barriopedro, R. D. García, S. Alonso-Pérez, J. J. González-Alemán, E. Werner, D. Suárez, J. J. Bustos, G. García-Castrillo, O. García, Á. Barreto, S. Basart
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 4083-4104 (2024)
During the months of February–March (FM) of the 2020–2022 period, several intense dust intrusions from northern Africa affected Europe. The frequency of dust events was exceptional, considering that wintertime is the season with minimum dust acti
Externí odkaz:
https://doaj.org/article/b0c48f9ec151424bba41cf967d49d701
Autor:
M. Gonçalves Ageitos, V. Obiso, R. L. Miller, O. Jorba, M. Klose, M. Dawson, Y. Balkanski, J. Perlwitz, S. Basart, E. Di Tomaso, J. Escribano, F. Macchia, G. Montané, N. M. Mahowald, R. O. Green, D. R. Thompson, C. Pérez García-Pando
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 8623-8657 (2023)
Soil dust aerosols are a key component of the climate system, as they interact with short- and long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play a role in biogeochemical cycles by providing nutrient inputs su
Externí odkaz:
https://doaj.org/article/6afe8cc9f4754bd79664679037c5ecf7
Autor:
M. Mytilinaios, S. Basart, S. Ciamprone, J. Cuesta, C. Dema, E. Di Tomaso, P. Formenti, A. Gkikas, O. Jorba, R. Kahn, C. Pérez García-Pando, S. Trippetta, L. Mona
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 5487-5516 (2023)
Aerosol reanalysis datasets are model-based, observationally constrained, continuous 3D aerosol fields with a relatively high temporal frequency that can be used to assess aerosol variations and trends, climate effects, and impacts on socioeconomic s
Externí odkaz:
https://doaj.org/article/e79f60e3d613403b8a73eac4884506d0
Autor:
E. Di Tomaso, J. Escribano, S. Basart, P. Ginoux, F. Macchia, F. Barnaba, F. Benincasa, P.-A. Bretonnière, A. Buñuel, M. Castrillo, E. Cuevas, P. Formenti, M. Gonçalves, O. Jorba, M. Klose, L. Mona, G. Montané Pinto, M. Mytilinaios, V. Obiso, M. Olid, N. Schutgens, A. Votsis, E. Werner, C. Pérez García-Pando
Publikováno v:
Earth System Science Data, Vol 14, Pp 2785-2816 (2022)
One of the challenges in studying desert dust aerosol along with its numerous interactions and impacts is the paucity of direct in situ measurements, particularly in the areas most affected by dust storms. Satellites typically provide column-integrat
Externí odkaz:
https://doaj.org/article/b063ffac630f4a318273ec40cb778bc1
Autor:
Á. Barreto, E. Cuevas, R. D. García, J. Carrillo, J. M. Prospero, L. Ilić, S. Basart, A. J. Berjón, C. L. Marrero, Y. Hernández, J. J. Bustos, S. Ničković, M. Yela
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 739-763 (2022)
Every year, large-scale African dust outbreaks frequently pass over the Canary Islands (Spain). Here we describe the seasonal evolution of atmospheric aerosol extinction and meteorological vertical profiles on Tenerife over the period 2007–2018 usi
Externí odkaz:
https://doaj.org/article/59d7c52bc914481f9be6196990727858
Autor:
M. Klose, O. Jorba, M. Gonçalves Ageitos, J. Escribano, M. L. Dawson, V. Obiso, E. Di Tomaso, S. Basart, G. Montané Pinto, F. Macchia, P. Ginoux, J. Guerschman, C. Prigent, Y. Huang, J. F. Kok, R. L. Miller, C. Pérez García-Pando
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 6403-6444 (2021)
We present the dust module in the Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) version 2.0, a chemical weather prediction system that can be used for regional and global modeling at a range of resolutions. The representation
Externí odkaz:
https://doaj.org/article/94955ed603d14a50858b24bbafbc86f3
Autor:
A. Benedetti, J. S. Reid, P. Knippertz, J. H. Marsham, F. Di Giuseppe, S. Rémy, S. Basart, O. Boucher, I. M. Brooks, L. Menut, L. Mona, P. Laj, G. Pappalardo, A. Wiedensohler, A. Baklanov, M. Brooks, P. R. Colarco, E. Cuevas, A. da Silva, J. Escribano, J. Flemming, N. Huneeus, O. Jorba, S. Kazadzis, S. Kinne, T. Popp, P. K. Quinn, T. T. Sekiyama, T. Tanaka, E. Terradellas
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 10615-10643 (2018)
Numerical prediction of aerosol particle properties has become an important activity at many research and operational weather centers. This development is due to growing interest from a diverse set of stakeholders, such as air quality regulatory b
Externí odkaz:
https://doaj.org/article/e38b6ad0fefe411b96ba5bf86272b358
Autor:
A. Gkikas, V. Obiso, C. Pérez García-Pando, O. Jorba, N. Hatzianastassiou, L. Vendrell, S. Basart, S. Solomos, S. Gassó, J. M. Baldasano
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 8757-8787 (2018)
The direct radiative effect (DRE) during 20 intense and widespread dust outbreaks, which affected the broader Mediterranean basin over the period March 2000–February 2013, has been calculated with the NMMB-MONARCH model at regional (Sahara and E
Externí odkaz:
https://doaj.org/article/0ffe9147231444b9b1401ec92fc2fa39
Autor:
A. Tsekeri, A. Lopatin, V. Amiridis, E. Marinou, J. Igloffstein, N. Siomos, S. Solomos, P. Kokkalis, R. Engelmann, H. Baars, M. Gratsea, P. I. Raptis, I. Binietoglou, N. Mihalopoulos, N. Kalivitis, G. Kouvarakis, N. Bartsotas, G. Kallos, S. Basart, D. Schuettemeyer, U. Wandinger, A. Ansmann, A. P. Chaikovsky, O. Dubovik
Publikováno v:
Atmospheric Measurement Techniques, Vol 10, Pp 4995-5016 (2017)
The Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC) and the LIdar-Radiometer Inversion Code (LIRIC) provide the opportunity to study the aerosol vertical distribution by combining ground-based lidar and su
Externí odkaz:
https://doaj.org/article/4aae17789b624f1e8718f3c8dbc156b0