Articles | Volume 11, issue 12
https://doi.org/10.5194/nhess-11-3227-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-11-3227-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Dec 2011
Research article |
| 09 Dec 2011
Summarising changes in air temperature over Central Europe by quantile regression and clustering
S. M. Barbosa
Instituto Dom Luiz, Universidade de Lisboa, Portugal
M. G. Scotto
Departamento de Matemática, Universidade de Aveiro, Portugal
A. M. Alonso
Departamento de Estadística, Instituto Flores de Lemus, Universidad Carlos III de Madrid, Spain
Viewed
Total article views: 3,427 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,025 | 1,233 | 169 | 3,427 | 205 | 187 |
- HTML: 2,025
- PDF: 1,233
- XML: 169
- Total: 3,427
- BibTeX: 205
- EndNote: 187
Cited
40 citations as recorded by crossref.
- Extreme heat events in the Iberia Peninsula from extreme value mixture modeling of ERA5-Land air temperature S. Barbosa & M. Scotto https://doi.org/10.1016/j.wace.2022.100448
- Changes in statistical distributions of sub-daily surface temperatures and wind speed R. Dunn et al. https://doi.org/10.5194/esd-10-765-2019
- Clustering of bivariate satellite time series: A quantile approach V. Musau et al. https://doi.org/10.1002/env.2755
- Changes of western European heat wave characteristics projected by the CMIP5 ensemble R. Schoetter et al. https://doi.org/10.1007/s00382-014-2434-8
- Trends in Extreme Mean Sea Level Quantiles from Satellite Altimetry S. Barbosa https://doi.org/10.1080/01490419.2016.1144665
- Acceleration of tropical cyclones as a proxy for extratropical interactions: synoptic-scale patterns and long-term trends A. Aiyyer & T. Wade https://doi.org/10.5194/wcd-2-1051-2021
- Quantile Regression–Based Spatiotemporal Analysis of Extreme Temperature Change in China M. Gao & C. Franzke https://doi.org/10.1175/JCLI-D-17-0356.1
- Estimation of surface air temperature trends over the Russian Federation territory using the quantile regression method A. Sterin & A. Timofeev https://doi.org/10.3103/S1068373916060029
- Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change: A study of long-term daily temperature in Australia Q. Duan et al. https://doi.org/10.1371/journal.pone.0271457
- Comparison of QRNN and QRF Models in Forest Biomass Estimation Based on the Screening of VIs Using an Equidistant Quantile Method X. Xu et al. https://doi.org/10.3390/f15050782
- Trends of extreme cold events in the central regions of Korea and their influence on the heating energy demand Y. Kim & S. Lee https://doi.org/10.1016/j.wace.2019.100199
- A Rigorous Statistical Assessment of Recent Trends in Intensity of Heavy Precipitation Over Germany C. Passow & R. Donner https://doi.org/10.3389/fenvs.2019.00143
- Forecasting natural gas consumption using Bagging and modified regularization techniques E. Meira et al. https://doi.org/10.1016/j.eneco.2021.105760
- Spatiotemporal Analysis of Extreme Temperature Change on the Tibetan Plateau Based On Quantile Regression L. Yao et al. https://doi.org/10.1029/2022EA002571
- Differences in intra-annual wood formation in Picea abies across the treeline ecotone, Giant Mountains, Czech Republic V. Treml et al. https://doi.org/10.1007/s00468-014-1129-4
- Estimating changes in temperature extremes from millennial-scale climate simulations using generalized extreme value (GEV) distributions W. Huang et al. https://doi.org/10.5194/ascmo-2-79-2016
- Quantile Regression-Based Probabilistic Estimation Scheme for Daily and Annual Suspended Sediment Loads J. Shiau & T. Chen https://doi.org/10.1007/s11269-015-0971-5
- Trends in ozone concentrations in the Iberian Peninsula by quantile regression and clustering A. Monteiro et al. https://doi.org/10.1016/j.atmosenv.2012.03.069
- Changes in extreme sea-levels in the Baltic Sea A. Ribeiro et al. https://doi.org/10.3402/tellusa.v66.20921
- Freely available daily hydrometeorological data from Czechia: further insights O. Ledvinka et al. https://doi.org/10.1051/e3sconf/20184400093
- An analytical procedure for multi-site, multi-season streamflow generation using maximum entropy bootstrapping R. Srivastav & S. Simonovic https://doi.org/10.1016/j.envsoft.2014.05.005
- Spatial patterns of linear and nonparametric long-term trends in Baltic sea-level variability R. Donner et al. https://doi.org/10.5194/npg-19-95-2012
- Area burned in Portugal over recent decades: an extreme value analysis M. Scotto et al. https://doi.org/10.1071/WF13104
- Clustering Quantile Regression-Based Drought Trends in Taiwan J. Shiau & J. Lin https://doi.org/10.1007/s11269-015-1210-9
- Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. https://doi.org/10.5194/hess-25-3897-2021
- A comprehensive evaluation of soil moisture and soil temperature from third‐generation atmospheric and land reanalysis data sets M. Li et al. https://doi.org/10.1002/joc.6549
- Structure of Rise in Monthly Temperature in Europe as Estimated by Machine Learning A. Franczyk et al. https://doi.org/10.1007/s00024-025-03742-x
- Integration of modern statistical tools for the analysis of climate extremes into the web-GIS “CLIMATE” A. Ryazanova et al. https://doi.org/10.1088/1755-1315/96/1/012014
- Seasonally Resolved Distributional Trends of North American Temperatures Show Contraction of Winter Variability A. Rhines et al. https://doi.org/10.1175/JCLI-D-16-0363.1
- Spatio-temporal variability of dry and wet conditions over East Africa from 1982 to 2015 using quantile regression model W. Kalisa et al. https://doi.org/10.1007/s11069-021-04530-1
- Performance evaluation of a multi-site weather generator coupling maximum entropy resampling for estimating the probability distribution of annual maximum daily rainfall in the Loess Plateau D. Mu et al. https://doi.org/10.1007/s00477-023-02630-x
- Analysis of changes in extreme temperatures using quantile regression K. Lee et al. https://doi.org/10.1007/s13143-013-0030-1
- Precipitation changes from two long-term hourly datasets in Tuscany, Italy G. Bartolini et al. https://doi.org/10.1002/joc.3956
- Trends in Moderate Rainfall Extremes: A Regional Monotone Regression Approach M. Roth et al. https://doi.org/10.1175/JCLI-D-14-00685.1
- Detecting precipitation trend using a multiscale approach based on quantile regression over a Mediterranean area D. Treppiedi et al. https://doi.org/10.1002/joc.7161
- A Critical Evaluation and Future Projection of Extreme Precipitation Over South Korea in Observation-Based Products and a High-Resolution Model Simulation C. Franzke et al. https://doi.org/10.1007/s13143-024-00377-1
- Modeling distributional changes in winter precipitation of Canada using Bayesian spatiotemporal quantile regression subjected to different teleconnections X. Tan et al. https://doi.org/10.1007/s00382-018-4241-0
- Changes in monsoon rainfall distribution of Bangladesh using quantile regression model M. Mohsenipour et al. https://doi.org/10.1007/s00704-020-03387-x
- Detecting distributional changes of annual rainfall indices in Taiwan using quantile regression J. Shiau & W. Huang https://doi.org/10.1016/j.jher.2014.07.006
- Analysis of Extreme Sea Surface Temperature along the Western Coastal area of Chungnam: Current Status and Future Projections B. Lim & Y. Chang https://doi.org/10.5467/JKESS.2023.44.4.255
Latest update: 13 Sep 2026
