Zobrazeno 1 - 6
of 6
pro vyhledávání: '"aerosol prediction"'
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 937-964 (2023)
Outdoor aerosol processes are often associated with disasters and diseases, which threaten human life and health. Outdoor aerosols are a fluid system affected by meteorological conditions and three-dimensional complex terrain. Their variable wind spe
Externí odkaz:
https://doaj.org/article/4df0fa8e8bba48b7802f193755f82ca8
Akademický článek
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Publikováno v:
Geoscientific Model Development, Vol 10, Iss 3, Pp 1107-1129 (2017)
Geoscientific Model Development, 10(3), 1107-1129. Copernicus Gesellschaft mbH
Recercat. Dipósit de la Recerca de Catalunya
instname
Di Tomaso, E, Schutgens, N A J, Jorba, O & Garcia-Pando, C P 2017, ' Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0 ', Geoscientific Model Development, vol. 10, no. 3, pp. 1107-1129 . https://doi.org/10.5194/gmd-10-1107-2017
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Geoscientific Model Development, 10(3), 1107-1129. Copernicus Gesellschaft mbH
Recercat. Dipósit de la Recerca de Catalunya
instname
Di Tomaso, E, Schutgens, N A J, Jorba, O & Garcia-Pando, C P 2017, ' Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0 ', Geoscientific Model Development, vol. 10, no. 3, pp. 1107-1129 . https://doi.org/10.5194/gmd-10-1107-2017
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
A data assimilation capability has been built for the NMMB-MONARCH chemical weather prediction system, with a focus on mineral dust, a prominent type of aerosol. An ensemble-based Kalman filter technique (namely the local ensemble transform Kalman fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3293b460ad6203b173b29d616aa762a
https://doi.org/10.5194/gmd-10-1107-2017
https://doi.org/10.5194/gmd-10-1107-2017
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
Atmospheric Chemistry and Physics, European Geosciences Union, 2018, 18 (14), pp.10615-10643. ⟨10.5194/acp-18-10615-2018⟩
Atmospheric Chemistry and Physics, 2018, 18 (14), pp.10615-10643. ⟨10.5194/acp-18-10615-2018⟩
Atmospheric Chemistry and Physics, Vol 18, Pp 10615-10643 (2018)
Atmospheric chemistry and physics, 18 (14), 10615–10643
Atmospheric Chemistry and Physics Discussions
Atmospheric chemistry and physics
18 (2018): 10615–10643. doi:10.5194/acp-18-10615-2018
info:cnr-pdr/source/autori:Benedetti, Angela; Reid, Jeffrey S.; Knippertz, Peter; Marsham, John H.; Di Giuseppe, Francesca; Remy, Samuel; Basart, Sara; Boucher, Olivier; Brooks, Ian M.; Menut, Laurent; Mona, Lucia; Laj, Paolo; Pappalardo, Gelsomina; Wiedensohler, Alfred; Baklanov, Alexander; Brooks, Malcolm; Colarco, Peter R.; Cuevas, Emilio; da Silva, Arlindo; Escribano, Jeronimo; Flemming, Johannes; Huneeus, Nicolas; Jorba, Oriol; Kazadzis, Stelios; Kinne, Stefan; Popp, Thomas; Quinn, Patricia K.; Sekiyama, Thomas T.; Tanaka, Taichu; Terradellas, Enric/titolo:Status and future of numerical atmospheric aerosol prediction with a focus on data requirements/doi:10.5194%2Facp-18-10615-2018/rivista:Atmospheric chemistry and physics (Print)/anno:2018/pagina_da:10615/pagina_a:10643/intervallo_pagine:10615–10643/volume:18
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
Atmospheric Chemistry and Physics, European Geosciences Union, 2018, 18 (14), pp.10615-10643. ⟨10.5194/acp-18-10615-2018⟩
Atmospheric Chemistry and Physics, 2018, 18 (14), pp.10615-10643. ⟨10.5194/acp-18-10615-2018⟩
Atmospheric Chemistry and Physics, Vol 18, Pp 10615-10643 (2018)
Atmospheric chemistry and physics, 18 (14), 10615–10643
Atmospheric Chemistry and Physics Discussions
Atmospheric chemistry and physics
18 (2018): 10615–10643. doi:10.5194/acp-18-10615-2018
info:cnr-pdr/source/autori:Benedetti, Angela; Reid, Jeffrey S.; Knippertz, Peter; Marsham, John H.; Di Giuseppe, Francesca; Remy, Samuel; Basart, Sara; Boucher, Olivier; Brooks, Ian M.; Menut, Laurent; Mona, Lucia; Laj, Paolo; Pappalardo, Gelsomina; Wiedensohler, Alfred; Baklanov, Alexander; Brooks, Malcolm; Colarco, Peter R.; Cuevas, Emilio; da Silva, Arlindo; Escribano, Jeronimo; Flemming, Johannes; Huneeus, Nicolas; Jorba, Oriol; Kazadzis, Stelios; Kinne, Stefan; Popp, Thomas; Quinn, Patricia K.; Sekiyama, Thomas T.; Tanaka, Taichu; Terradellas, Enric/titolo:Status and future of numerical atmospheric aerosol prediction with a focus on data requirements/doi:10.5194%2Facp-18-10615-2018/rivista:Atmospheric chemistry and physics (Print)/anno:2018/pagina_da:10615/pagina_a:10643/intervallo_pagine:10615–10643/volume:18
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
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 bodi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cd9dea7a763ff98e57dcc8729de2694
https://eprints.whiterose.ac.uk/131725/1/acp-2018-42.pdf
https://eprints.whiterose.ac.uk/131725/1/acp-2018-42.pdf
Akademický článek
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