Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Martin Durocher"'
Publikováno v:
Frontiers in Earth Science, Vol 7 (2020)
Geophysical properties of snow are known to be sensitive to climate variability and are of primary importance for hydrological and climatological process simulations. Numerous studies using passive microwaves have attempted to quantify snow from spac
Externí odkaz:
https://doaj.org/article/c72fa22661ce4664a258de362a4102c9
Autor:
Martin Durocher, Jean-François Quessy
Publikováno v:
Econometrics and Statistics. 12:148-166
A very general class of multivariate copulas is introduced. These copulas arise as the dependence structures that can be extracted from random vectors whose components are squared. The main theoretical properties of the new models are investigated an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::391b2fe752053f1c09024349d8d5e0f3
https://doi.org/10.1016/j.ecosta.2019.02.002
https://doi.org/10.1016/j.ecosta.2019.02.002
Publikováno v:
Hydrological Sciences Journal. 64:1056-1070
Prediction of flood quantiles at ungauged sites has been investigated using several nonparametric regression methods including: local regression based on regions of influence, neural networks and generalized additive models (GAM). These methods were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6c001a178ae6f42975ff74ce1eb7689
https://doi.org/10.1080/02626667.2019.1620952
https://doi.org/10.1080/02626667.2019.1620952
Publikováno v:
Hydrological Sciences Journal. 64:121-136
Despite some theoretical advantages of peaks-over-threshold (POT) series over annual maximum (AMAX) series, some practical aspects of flood frequency analysis using AMAX or POT series are still sub...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94402449e70a57898d32027e13699dd5
https://doi.org/10.1080/02626667.2019.1577556
https://doi.org/10.1080/02626667.2019.1577556
Publikováno v:
Hydrological Processes. 32:2874-2887
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37031f46dd3a2a15792cf31780dc0927
https://doi.org/10.1002/hyp.13223
https://doi.org/10.1002/hyp.13223
Accurate estimation of flood frequency is crucial for designing safe infrastructures. To reduce model uncertainty, threshold modeling techniques are often useful in bringing more valuable flood information into the analysis than traditional models ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::415d8212c171e613462ca997776922af
https://eartharxiv.org/rnepc
https://eartharxiv.org/rnepc
Publikováno v:
Journal of Hydrology. 533:523-532
The present study investigates the use of the spatial copula approach for predicting flood quantiles at ungauged basins. Spatial copulas are the formalization of traditional geostatistics by copulas. In regional flood frequency analysis (RFFA), the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::017c1a96117896e50efc9888b0940c1a
https://doi.org/10.1016/j.jhydrol.2015.12.029
https://doi.org/10.1016/j.jhydrol.2015.12.029
Region of influence is a common approach to estimate runoff information at ungauged locations. To estimate flood quantiles from annual maximum discharges, the Generalized Least Squares (GLS) framework has been recommended to account for unequal sampl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feb24bc19b8cea6dd5704f5cc51d26e2
https://eartharxiv.org/qrnfe
https://eartharxiv.org/qrnfe
Publikováno v:
International Journal of Climatology. 36:1600-1613
The aim of this article is to present a methodology that describes the relationship between two time series according to their oscillatory modes. Cross-wavelet analysis is used to analyse the connection between the outputs of the empirical mode decom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc9f7653c7b18d7178753d27d5b3bfe3
https://doi.org/10.1002/joc.4444
https://doi.org/10.1002/joc.4444
Publikováno v:
Journal of Hydrometeorology. 16:1561-1574
This paper presents an approach for regional flood frequency analysis (RFFA) in the presence of nonlinearity and problematic stations, which require adapted methodologies. To this end, the projection pursuit regression (PPR) is proposed. The PPR is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c98c05e3893a4818aa28f4c5ba270ff
https://doi.org/10.1175/jhm-d-14-0227.1
https://doi.org/10.1175/jhm-d-14-0227.1