Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform

Autor: Marcus Suassuna Santos, Veber Afonso Figueiredo Costa, Wilson dos Santos Fernandes, Rafael Pedrollo de Paes

Publikováno v: Revista Brasileira de Recursos Hídricos, Vol 24 (2019)

ABSTRACT This paper focuses on time-space characterization of drought conditions in the São Francisco River catchment, on the basis of wavelet analysis of Standardized Precipitation Index (SPI) time series. In order to improve SPI estimation, the pr

Externí odkaz: https://doaj.org/article/8863db05a8ac491a971dc298e04ad4fd

Identifying the origins of extreme rainfall using storm track classification

Autor: Andrew Barnes, Luis Mediero, Thomas Kjeldsen, Ilaria Prosdocimi, Nick McCullen, Carlos Garijo, Marcus Suassuna Santos

Publikováno v: Barnes, A, Santos, M S, Garijo, C, Mediero, L, Prosdocimi, I, McCullen, N & Kjeldsen, T 2020, ' Identifying the origins of extreme rainfall using storm track classification ', Hydroinformatics, vol. 22, no. 2, pp. 296-309 . https://doi.org/10.2166/hydro.2019.164

Identifying patterns in data relating to extreme rainfall is important for classifying and estimating rainfall and flood frequency distributions routinely used in civil engineering design and flood management. This study demonstrates the novel use of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2200e39f0efdc27639fe4110768ca39
http://hdl.handle.net/10278/3720172