Articles | Volume 14, issue 3
https://doi.org/10.5194/npg-14-305-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/npg-14-305-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
25 Jun 2007
Non-stationary extreme models and a climatic application
M. Nogaj
EDF R&D, 6 Quai Watier, 78401 Chatou, France
S. Parey
EDF R&D, 6 Quai Watier, 78401 Chatou, France
D. Dacunha-Castelle
Department of Mathematics, University Paris-XI, Orsay, France
Viewed
Total article views: 2,846 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 974 | 1,725 | 147 | 2,846 | 156 | 112 |
- HTML: 974
- PDF: 1,725
- XML: 147
- Total: 2,846
- BibTeX: 156
- EndNote: 112
Cited
37 citations as recorded by crossref.
- Integrating nonstationary behaviors of typhoon and non-typhoon extreme rainfall events in East Asia C. Son et al. 10.1038/s41598-017-04629-1
- Extracting the temporal signal from a winter and summer mass-balance series: application to a six-decade record at Glacier de Sarennes, French Alps N. Eckert et al. 10.3189/002214311795306673
- Estimating Trends in Non-stationary Quasi-periodic Extreme Time Series and the Return Values T. IZUMIYA & H. KATO 10.2208/kaigan.70.I_106
- Is the covariate based non-stationary rainfall IDF curve capable of encompassing future rainfall changes? V. Agilan & N. Umamahesh 10.1016/j.jhydrol.2016.08.052
- Stationary and Non-stationary Extreme Value Approaches for Modelling Extreme Temperature: the Case of Riyadh City, Saudi Arabia B. Raggad 10.1007/s10666-017-9588-9
- Modelling non-stationarity in asymptotically independent extremes C. Murphy-Barltrop & J. Wadsworth 10.1016/j.csda.2024.108025
- The influence of climate change and variability on the IFD Curves in NSW, Australia E. Hajani 10.1016/j.scitotenv.2022.157359
- Modelling nonlinear trend for developing non‐stationary rainfall intensity–duration–frequency curve V. Agilan & N. Umamahesh 10.1002/joc.4774
- The Use of GAMLSS Framework for a Non-Stationary Frequency Analysis of Annual Runoff Data over a Mediterranean Area P. Scala et al. 10.3390/w14182848
- On the return period of the 2003 heat wave A. Charpentier 10.1007/s10584-010-9944-0
- AN ADVANCED STATISTICAL EXTREME VALUE MODEL FOR EVALUATING STORM SURGE HEIGHTS CONSIDERING SYSTEMATIC RECORDS AND SEA LEVEL RISE SCENARIO C. Mudersbach & J. Jensen 10.9753/icce.v32.currents.23
- Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima S. Wi et al. 10.1007/s00477-015-1180-8
- Nonstationary Hydrological Distribution Estimation Using Hierarchical Model with Stochastic Covariates C. Jiang et al. 10.1061/JHYEFF.HEENG-5809
- Changes in extreme precipitation in the Huang-Huai-Hai River basin of China during 1960-2010 D. Zhang et al. 10.1007/s00704-014-1159-2
- Rainfall Generator for Nonstationary Extreme Rainfall Condition V. Agilan & N. Umamahesh 10.1061/(ASCE)HE.1943-5584.0001821
- Estimation of a diffusion model with trends taking into account the extremes. Application to temperature in France T. Hoang et al. 10.1002/env.1100
- Questioning MLE for the estimation of environmental extreme distributions F. Mazas et al. 10.1016/j.oceaneng.2014.09.034
- Modelling non-stationary time series using a peaks over threshold distribution with time varying covariates and threshold: An application to peak electricity demand C. Sigauke & A. Bere 10.1016/j.energy.2016.12.027
- Computing the distribution of return levels of extreme warm temperatures for future climate projections M. Pausader et al. 10.1007/s00382-011-1032-2
- Influence of natural climate variability on extreme wave power over Indo-Pacific Ocean assessed using ERA5 P. Kumar et al. 10.1007/s00382-021-05981-9
- Lifetime maximum load effects on short-span bridges subject to growing traffic volumes E. OBrien et al. 10.1016/j.strusafe.2014.05.005
- Trend Analysis of Extreme Wind and Wave Height at Key Port Locations Along the Indian Coastline R. Prasad et al. 10.1007/s41208-024-00762-7
- Mean and variance evolutions of the hot and cold temperatures in Europe S. Parey et al. 10.1007/s00382-009-0557-0
- Attributing trends in extremely hot days to changes in atmospheric dynamics J. García-Valero et al. 10.5194/nhess-15-2143-2015
- Extremely high temperatures in France at the end of the century S. Parey 10.1007/s00382-007-0275-4
- Non‐stationary frequency analysis of extreme daily rainfall in Sao Paulo, Brazil S. Sugahara et al. 10.1002/joc.1760
- Statistical analysis and modeling of precipitation data D. Vovoras & C. Tsokos 10.1016/j.na.2009.01.144
- Detection and attribution of non-stationarity in intensity and frequency of daily and 4-h extreme rainfall of Hyderabad, India V. Agilan & N. Umamahesh 10.1016/j.jhydrol.2015.10.028
- What are the best covariates for developing non-stationary rainfall Intensity-Duration-Frequency relationship? V. Agilan & N. Umamahesh 10.1016/j.advwatres.2016.12.016
- Influence of Natural Climate Variability on the Extreme Ocean Surface Wave Heights Over the Indian Ocean P. Kumar et al. 10.1029/2019JC015391
- Stationary and nonstationary generalized extreme value modelling of extreme precipitation over a mountainous area under climate change D. Panagoulia et al. 10.1002/env.2252
- Long-term temporal evolution of extreme temperature in a warming Earth J. Contzen et al. 10.1371/journal.pone.0280503
- Nonstationary extreme value analysis of annual maximum water levels for designing coastal structures on the German North Sea coastline C. Mudersbach & J. Jensen 10.1111/j.1753-318X.2009.01054.x
- ESTIMATING TRENDS AND QUASI-PERIODIC VARIATIONS IN HYDRO-METEOROLOGICAL DATA AND NON-STATIONARY EXTREME MODELS T. IZUMIYA et al. 10.2208/jscejhe.71.I_349
- Nonstationary seasonal model for daily mean temperature distribution bridging bulk and tails M. Krock et al. 10.1016/j.wace.2022.100438
- Bayesian model for hydrological processes with jumping location and varying dispersion G. Kim & J. Jeon 10.1016/j.jhydrol.2019.124087
- Multidimensional trends: The example of temperature T. Huong Hoang et al. 10.1140/epjst/e2009-01094-6
Latest update: 26 Dec 2024
