Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alessandra Tassa"'
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Understanding the Earth system and its physical and societal processes is crucial for helping humankind develop in a sustainable way, and for designing effective policies across a wide range of applications that include mitigating the effects of clim
Externí odkaz:
https://doaj.org/article/f2c09bdeb1b24d699f1b34d95ae8c882
Autor:
Alessandra Tassa
Publikováno v:
Journal of Economic Policy Reform. 23:34-48
Earth-observing satellites provide regular and accurate data that can support evidence-based decisions and public policies in a wide range of domains, potentially bringing huge socio-economic benef...
Autor:
Collin B. Lawrence, Geoff Sawyer, Monica Grasso, Jeffery Adkins, Denna Geppi, Jay Pearlman, Carl D. Shapiro, Francoise Pearlman, Emily J. Pindilli, Alessandra Tassa
Publikováno v:
Open-File Report.
Autor:
Alessandra Tassa, Eric Monjoux, Veronique Amans, Olivier Barois, Jolyon Martin, Giuseppe Ottavianelli, Guido Vingione, Richard Knowelden, Philippe Mougnaud, Cristiano Lopes
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7:3-16
The Global Monitoring for Environment and Security (GMES) Space Component relies on a constellation of dedicated space missions (called the Sentinels, scheduled for first launch by 2013), as well as on a set of space missions not dedicated to GMES bu
Autor:
José Pedro V. Poiares Baptista, S. Di Michele, Alessandra Tassa, Peter Bauer, A. Mugnai, Frank S. Marzano
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 44:78-89
Physically based microwave spaceborne techniques for rainfall retrieval are usually trained by simulated cloud-radiation databases (CRDs) composed of cloud profiles and associated brightness temperatures (TBs). When generating the database, the evalu
Autor:
Frank S. Marzano, Jean-François Mahfouf, William S. Olson, Peter Bauer, Sabatino Di Michele, Alessandra Tassa, Alberto Mugnai
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 128:2129-2144
An intercomparison of retrieval errors from different Tropical Rainfall Measuring Mission (TRMM) passive microwave rainfall products was carried out to assess the definition of observation error for experiments of rainfall assimilation in a variation
Autor:
Alessandra Tassa, Alessandra Buongiorno, Rune Floberghagen, Guido Vigione, Eric Monjoux, Ciro Caramiello
Publikováno v:
International Association of Geodesy Symposia ISBN: 9783540854258
In this paper a new approach is presented for enhancing image super-resolution via a filtered scale integral reconstruction. Based on the concept that any sensed quantity (from an instrumental point of view) must be necessarily considered as an avera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e779b34c88fc2b0885b2cfdf023a46d
https://doi.org/10.1007/978-3-540-85426-5_39
https://doi.org/10.1007/978-3-540-85426-5_39
Autor:
Alberto Mugnai, Peter Bauer, Gregory J. Tripoli, Eric A. Smith, Alessandra Tassa, Sabatino Di Michele, Chris Kidd, Paul Joe, Fabrizio Baordo, Jacques Testud, Frank S. Marzano, Bizzarro Bizzarri
Publikováno v:
Measuring Precipitation From Space ISBN: 9781402058349
Measuring Precipitation from Space: EURAINSAT and the Future, edited by Vincenzo Levizzani; Peter Bauer; F. Joseph Turk, pp. 655–674. Dordrecht: Springer, 2007
info:cnr-pdr/source/autori:Alberto Mugnai 1; Sabatino Di Michele 1; Eric A. Smith 2; Fabrizio Baordo 1; Peter Bauer 1; Bizzarro Bizzarri 1; Paul Joe 4; Christopher Kidd 5; Frank Silvio Marzano 6; Alessandra Tassa 1; Jacques Testud 7; Gregory J. Tripoli 8/titolo:Snowfall Measurements by Proposed European GPM Mission/titolo_volume:Measuring Precipitation from Space: EURAINSAT and the Future/curatori_volume:Vincenzo Levizzani; Peter Bauer; F. Joseph Turk/editore: /anno:2007
Measuring Precipitation from Space: EURAINSAT and the Future, edited by Vincenzo Levizzani; Peter Bauer; F. Joseph Turk, pp. 655–674. Dordrecht: Springer, 2007
info:cnr-pdr/source/autori:Alberto Mugnai 1; Sabatino Di Michele 1; Eric A. Smith 2; Fabrizio Baordo 1; Peter Bauer 1; Bizzarro Bizzarri 1; Paul Joe 4; Christopher Kidd 5; Frank Silvio Marzano 6; Alessandra Tassa 1; Jacques Testud 7; Gregory J. Tripoli 8/titolo:Snowfall Measurements by Proposed European GPM Mission/titolo_volume:Measuring Precipitation from Space: EURAINSAT and the Future/curatori_volume:Vincenzo Levizzani; Peter Bauer; F. Joseph Turk/editore: /anno:2007
The European Space Agency (ESA) is currently engaged in the study of the European Global Precipitation Measurement (EGPM) Mission. This represents both a dedicated ESA mission primarily supporting research and applications in the European Community a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04cf0f5ac950d9be7af766f59dce78d6
https://doi.org/10.1007/978-1-4020-5835-6_49
https://doi.org/10.1007/978-1-4020-5835-6_49
Autor:
Alessandra Tassa 1, Sabatino Di Michele 2, Alberto Mugnai 1, Frank Silvio Marzano 3, Peter Bauer 2, José Pedro V. Poiares Baptista 4
Publikováno v:
IEEE transactions on geoscience and remote sensing 44 (2006): 78–89. doi:10.1109/FGRS.2005.860484
info:cnr-pdr/source/autori:Alessandra Tassa 1; Sabatino Di Michele 2; Alberto Mugnai 1; Frank Silvio Marzano 3; Peter Bauer 2; José Pedro V. Poiares Baptista 4/titolo:Modeling uncertainties for passive microwave precipitation retrieval from space: Evaluation of a case study/doi:10.1109%2FFGRS.2005.860484/rivista:IEEE transactions on geoscience and remote sensing/anno:2006/pagina_da:78/pagina_a:89/intervallo_pagine:78–89/volume:44
info:cnr-pdr/source/autori:Alessandra Tassa 1; Sabatino Di Michele 2; Alberto Mugnai 1; Frank Silvio Marzano 3; Peter Bauer 2; José Pedro V. Poiares Baptista 4/titolo:Modeling uncertainties for passive microwave precipitation retrieval from space: Evaluation of a case study/doi:10.1109%2FFGRS.2005.860484/rivista:IEEE transactions on geoscience and remote sensing/anno:2006/pagina_da:78/pagina_a:89/intervallo_pagine:78–89/volume:44
Physically based microwave spaceborne techniques for rainfall retrieval are usually trained by simulated cloud-radiation databases (CRDs) composed of cloud profiles and associated brightness temperatures (TBs). When generating the database, the evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::8f5eb85f3dcf9b41f5c8d5868b723de3
https://publications.cnr.it/doc/44888
https://publications.cnr.it/doc/44888
Publikováno v:
IGARSS
The Bayesian Algorithm for Microwave Precipitation Retrieval (BAMPR) is a cloud resolving model (CRM)-based retrieval technique for estimating surface rainfall and precipitating cloud profiles by means of microwave radiometric measurements from space