Zobrazeno 1 - 10
of 920
pro vyhledávání: '"A. Fasso"'
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://doaj.org/article/a1631738dc144e65987953061123c35b
Publikováno v:
Atmospheric Measurement Techniques, Vol 7, Iss 6, Pp 1803-1816 (2014)
The quantification of measurement uncertainty of atmospheric parameters is a key factor in assessing the uncertainty of global change estimates given by numerical prediction models. One of the critical contributions to the uncertainty budget is relat
Externí odkaz:
https://doaj.org/article/5692dee732994174b2d0a1fc0f9da7f9
This review article focuses on regularised estimation procedures applicable to geostatistical and spatial econometric models. These methods are particularly relevant in the case of big geospatial data for dimensionality reduction or model selection.
Externí odkaz:
http://arxiv.org/abs/2402.00183
The air in the Lombardy Plain, Italy, is one of the most polluted in Europe due to limited atmosphere circulation and high emission levels. There is broad scientific consensus that ammonia (NH$_3$) emissions have a primary impact on air quality, and,
Externí odkaz:
http://arxiv.org/abs/2310.15837
Autor:
Fassò, Alessandro
Intensive farming is known to significantly impact air quality, particularly fine particulate matter (PM$_{2.5}$). Understanding in detial their relation is important for scientific reasons and policy making. Ammonia emissions convey the impact of fa
Externí odkaz:
http://arxiv.org/abs/2310.09302
Autor:
Otto, Philipp, Moro, Alessandro Fusta, Rodeschini, Jacopo, Shaboviq, Qendrim, Ignaccolo, Rosaria, Golini, Natalia, Cameletti, Michela, Maranzano, Paolo, Finazzi, Francesco, Fassò, Alessandro
This study presents a comparative analysis of three predictive models with an increasing degree of flexibility: hidden dynamic geostatistical models (HDGM), generalised additive mixed models (GAMM), and the random forest spatiotemporal kriging models
Externí odkaz:
http://arxiv.org/abs/2309.07285
Autor:
Fassò, Alessandro, Rodeschini, Jacopo, Moro, Alessandro Fusta, Shaboviq, Qendrim, Maranzano, Paolo, Cameletti, Michela, Finazzi, Francesco, Golini, Natalia, Ignaccolo, Rosaria, Otto, Philipp
Publikováno v:
Scientific Data 10(143) 2023
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 quality. To s
Externí odkaz:
http://arxiv.org/abs/2210.10604
Publikováno v:
Stochastic Environmental Research and Risk Assessment 2023
We propose a novel model selection algorithm based on a penalized maximum likelihood estimator (PMLE) for functional hidden dynamic geostatistical models (f-HDGM). These models employ a classic mixed-effect regression structure with embedded spatiote
Externí odkaz:
http://arxiv.org/abs/2208.05528
Autor:
Fassò, Francesco, Sansonetto, Nicola
Publikováno v:
Regular and Chaotic Dynamics Volume 26, Issue 4, (2022) 409 - 423
We study some aspects of the dynamics of the nonholonomic system formed by a heavy homogeneous ball constrained to roll without sliding on a steadily rotating surface of revolution. First, in the case in which the figure axis of the surface is vertic
Externí odkaz:
http://arxiv.org/abs/2207.02048
Publikováno v:
In Socio-Economic Planning Sciences December 2024 96