Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Alessandro Fasso"'
Autor:
Alessandro Fassò, Jacopo Rodeschini, Alessandro Fusta Moro, Qendrim Shaboviq, Paolo Maranzano, Michela Cameletti, Francesco Finazzi, Natalia Golini, Rosaria Ignaccolo, Philipp Otto
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-16 (2023)
Abstract The air in the Lombardy region, Italy, is one of the most polluted in Europe because of limited air circulation and high emission levels. There is a large scientific consensus that the agricultural sector has a significant impact on air qual
Externí odkaz:
https://doaj.org/article/ba6f48b1c2a54b73a7ae01b4c0e9b843
Publikováno v:
Axioms, Vol 12, Iss 10, p 902 (2023)
The intercomparison between different atmospheric monitoring systems is key for instrument calibration and validation. Common cases involve satellites, radiosonde and atmospheric model outputs. Since instruments and/or measures are not perfectly coll
Externí odkaz:
https://doaj.org/article/4d5064703b0549c0876b2bd0eba7b069
Autor:
Mahmood Taghavi, Ghader Ghanizadeh, Mohammad Ghasemi, Alessandro Fassò, Gerard Hoek, Kiavash Hushmandi, Mehdi Raei
Publikováno v:
Atmosphere, Vol 14, Iss 6, p 926 (2023)
Functional data are generally curves indexed over a time domain, and land-use regression (LUR) is a promising spatial technique for generating high-resolution spatial estimation of retrospective long-term air pollutants. We developed a methodology fo
Externí odkaz:
https://doaj.org/article/b800ba1a1c6c4c278c38416aa8a2f34b
Publikováno v:
Journal of Statistical Software, Vol 99, Iss 1 (2021)
Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time. The MATLAB D-STEM v1 software package was first introduced for modeling multivariate space
Externí odkaz:
https://doaj.org/article/8b14b47ecbdb42399486f4f074f2d6e5
Autor:
Francesco Finazzi, Alessandro Fassò
Publikováno v:
Journal of Statistical Software, Vol 62, Iss 1, Pp 1-29 (2014)
This paper discusses the software D-STEM as a statistical tool for the analysis and mapping of environmental space-time variables. The software is based on a flexible hierarchical space-time model which is able to deal with multiple variables, hetero
Externí odkaz:
https://doaj.org/article/5b1fedab30804f65892d603833505f2a
Autor:
Alessandro Fassò
Publikováno v:
Austrian Journal of Statistics, Vol 27, Iss 1&2 (2016)
In environmental monitoring the quality assessment is essentially one-sided. For example quality of air decreases as one or more air pollutants increase. Statistical multivariate monitoring is then concerned with the problem of detecting some non-ran
Externí odkaz:
https://doaj.org/article/41d99d9a36194b73a6a0bde3c8340fd6
Publikováno v:
Atmospheric Measurement Techniques, Vol 13, Pp 6445-6458 (2020)
This paper is motivated by the fact that, although temperature readings made by Vaisala RS41 radiosondes at GRUAN sites (https://www.gruan.org/, last access: 30 November 2020) are given at 1 s resolution, for various reasons, missing data are sprea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fef687ba3749cc133651e9e05a6d4a6a
https://amt.copernicus.org/articles/13/6445/2020/amt-13-6445-2020.pdf
https://amt.copernicus.org/articles/13/6445/2020/amt-13-6445-2020.pdf
Publikováno v:
Spatial Statistics
During the first wave of the COVID-19 pandemics in 2020, lockdown policies reduced human mobility in many countries globally. This significantly reduces car traffic-related emissions. In this paper, we consider the impact of the Italian restrictions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d82207bc36d7ab60cb2e29380f81b599
http://hdl.handle.net/10446/204021
http://hdl.handle.net/10446/204021
Publikováno v:
Journal of Statistical Software; Vol. 99 (2021); 1-29
Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time. The MATLAB D-STEM v1 software package was first introduced for modeling multivariate space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec7063c998bb4ef4c142adbcf70bdba2
https://www.jstatsoft.org/index.php/jss/article/view/v099i10
https://www.jstatsoft.org/index.php/jss/article/view/v099i10
Autor:
Tom Gardiner, Francesco Amato, Peter Thorne, Marco Rosoldi, Fabio Madonna, Simone Gagliardi, Monica Proto, Fabrizio Marra, Souleymane Sy, Alessandro Fasso, Federico Serva, Emanuele Tramutola
The RHARM (Radiosounding HARMonization) algorithm is the first to provide homogenized radiosonde-based records of temperature, relative humidity and wind profiles since 1978, alongside an estimatio...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0ce5935a1d3b6ef7c21362b163f97f8
https://doi.org/10.1002/essoar.10507042.1
https://doi.org/10.1002/essoar.10507042.1