Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maximiliano Sacco"'
Autor:
Gimena Casaretto, Maria Eugenia Dillon, Yanina Garcia Skabar, Juan Ruiz, Paula Maldonado, Maximiliano Sacco
The improvement of numerical weather forecasts is a key element to predict high-impact weather events, associated with deep moist convection. The observations that are assimilated into numerical weather prediction systems are conformed by numerous da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d2682870d754b6167b93686806798c7
https://doi.org/10.5194/egusphere-egu23-415
https://doi.org/10.5194/egusphere-egu23-415
Autor:
Paola Belén Corrales, V. Galligani, Juan Ruiz, Luiz Sapucci, María Eugenia Dillon, Yanina García Skabar, Maximiliano Sacco, Craig S. Schwartz, Stephen W. Nesbitt
Publikováno v:
Atmospheric Research. 281:106456
Publikováno v:
European Geosciences Union
European Geosciences Union, Apr 2021, Vienne, Austria. ⟨10.5194/egusphere-egu21-9254⟩
European Geosciences Union, Apr 2021, Vienne, Austria. ⟨10.5194/egusphere-egu21-9254⟩
Quantifying forecast uncertainty is a key aspect of state-of-the-art data assimilation systems which has a large impact on the quality of the analysis and then the following forecast. In recent years, most operational data assimilation systems incorp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b28e584847f1473a943db76c5f71245f
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03279041
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03279041
Autor:
Leonardo Mingari, Luciano Vidal, Paola Corrales, Juan Ruiz, Paula Maldonado, Maximiliano Sacco, Cynthia Mariana Matsudo, Takemasa Miyoshi, Paola Salio, María Paula Hobouchian, Eugenia Kalnay, Celeste Saulo, Yanina García Skabar, Martín Rugna, Stephen W. Nesbitt, María Eugenia Dillon, Federico Cutraro
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
This paper describes the lessons learned from the implementation of a regional ensemble data assimilation and forecast system during the intensive observing period of the Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d535a39d7f5f701e611beb8de71e7e52
https://hdl.handle.net/2117/363307
https://hdl.handle.net/2117/363307
Autor:
Juan Lucas Bali, Maximiliano Sacco, Eldo E. Ávila, Pablo Vasquez, M. Gabriela Nicora, Nicolás Rivaben, Raúl D’Elia, Alejandro Acquesta
Publikováno v:
2017 International Symposium on Lightning Protection (XIV SIPDA).
Knowing the rate of atmospheric electrical activity is fundamentally relevant for human life, and for infrastructures, because these events cause major damages of different nature. In the case of country airports and aerodromes, it is of particular i