A stochastic model for the analysis of maximum daily temperature.

Autor: Sirangelo, B.¹, Caloiero, T.², Coscarelli, R.³ coscarelli@irpi.cnr.it, Ferrari, E.⁴

Publikováno v: Theoretical & Applied Climatology. Oct2017, Vol. 130 Issue 1-2, p275-289. 15p. 6 Charts, 8 Graphs, 1 Map.

Combining stochastic models of air temperature and vapour pressure for the analysis of the bioclimatic comfort through the Humidex.

Autor: Sirangelo B; Department of Environmental Engineering (DIAm), University of Calabria, Ponte P. Bucci, 87036, Rende, CS, Italy., Caloiero T; National Research Council of Italy, Institute for Agriculture and Forest Systems in the Mediterranean (CNR-ISAFOM), Via Cavour 4/6, 87036, Rende, CS, Italy., Coscarelli R; National Research Council of Italy, Research Institute for Geo-Hydrological Protection (CNR-IRPI), Via Cavour 4/6, 87036, Rende, CS, Italy., Ferrari E; Department of Computer Engineering, Modeling, Electronics, and Systems Science (DIMES), University of Calabria, Ponte P. Bucci, 87036, Rende, CS, Italy. ennio.ferrari@unical.it., Fusto F; Multi-Risk Functional Center, Regional Agency for Environmental Protection of Calabria, Viale degli Angioini 143, 88100, Catanzaro, Italy.

Publikováno v: Scientific reports [Sci Rep] 2020 Jul 09; Vol. 10 (1), pp. 11395. Date of Electronic Publication: 2020 Jul 09.

Detection and analysis of drought events in Calabria (southern Italy)

Autor: Coscarelli R., Caloiero T., Ferrari E., Sirangelo B.

Publikováno v: Italian journal of engineering geology and environment (Testo stamp.) SI 1 (2018): 13–25. doi:10.4408/IJEGE.2018-01.S-02
info:cnr-pdr/source/autori:Coscarelli R.; Caloiero T.; Ferrari E.; Sirangelo B./titolo:Detection and analysis of drought events in Calabria (southern Italy)/doi:10.4408%2FIJEGE.2018-01.S-02/rivista:Italian journal of engineering geology and environment (Testo stamp.)/anno:2018/pagina_da:13/pagina_a:25/intervallo_pagine:13–25/volume:SI 1

Drought phenomena are one of the greatest damaging climate events. For this reason it is necessary to detect several drought features such as its intensity, duration, recurrence probability and spatial extent, also in order to alleviate the impacts o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::d3fae9e95c5ac0770ac95a382a0f567a
http://www.ijege.uniroma1.it/rivista/special-issue-2018/special-issue-2018/detection-and-analysis-of-drought-events-in-calabria-southern-italy/

Analysis of the spatial correlation structure exhibited by daily rainfall in Southern Italy.

Autor: Sirangelo, B.¹, Ferrari, E.¹ ennio.ferrari@unical.it

Publikováno v: Theoretical & Applied Climatology. Oct2014, Vol. 118 Issue 1-2, p203-209. 7p.

A stochastic approach for the estimation of the occurrence probabilities of severe dry and wet events: an application in Southern Italy

Autor: Sirangelo B., Caloiero T., Coscarelli R., Ferrari E.

Publikováno v: info:cnr-pdr/source/autori:Sirangelo B., Caloiero T., Coscarelli R., Ferrari E./congresso_nome:10th HyMeX International Workshop/congresso_luogo:Barcellona/congresso_data:04-07%2F07%2F2017/anno:2017/pagina_da:/pagina_a:/intervallo_pagine

The limited number of very wet or dry events in the historical rainfall series make it difficult to estimate their occurrence probabilities. For this reason, the scientists have to resort to stochastic models, by assuming a given structure of the und

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::a0d8d4000df8b7ec68299ee2d47644fa
http://www.cnr.it/prodotto/i/375484