Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Luciano Galasso"'
Publikováno v:
Atmosphere, Vol 11, Iss 12, p 1292 (2020)
In this work, a comprehensive methodology for trend investigation in rainfall time series, in a climate-change context, is proposed. The crucial role played by a Stochastic Rainfall Generator (SRG) is highlighted. Indeed, SRG application is particula
Externí odkaz:
https://doaj.org/article/9eb8592ff9ba4b918327781f95a70152
Publikováno v:
Hydrology, Vol 6, Iss 4, p 89 (2019)
In this work, the authors investigated the feasibility of calibrating a model which is suitable for the generation of continuous high-resolution rainfall series, by using only data from annual maximum rainfall (AMR) series, which are usually longer t
Externí odkaz:
https://doaj.org/article/ed43dc89b3fe4d638d56c82844070687
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030406158
NUMTA (2)
NUMTA (2)
Climate is changing; many studies of time series confirm this sentence, but this does not imply that the past is no more representative of the future, and then that ‘‘stationarity is dead’’.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98d031bbcb12bce3cd9fcefd4c5e2a11
https://doi.org/10.1007/978-3-030-40616-5_7
https://doi.org/10.1007/978-3-030-40616-5_7
Publikováno v:
Water
Volume 10
Issue 10
Volume 10
Issue 10
This study tests stationary and non-stationary approaches for modelling data series of hydro-meteorological variables. Specifically, the authors considered annual maximum rainfall accumulations observed in the Calabria region (southern Italy), and at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b587c4aa0aa9befab846925352dec22
https://doi.org/10.3390/w10101477
https://doi.org/10.3390/w10101477