Articles | Volume 19, issue 1
https://doi.org/10.5194/npg-19-95-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-19-95-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Feb 2012
Research article |
| 13 Feb 2012
Spatial patterns of linear and nonparametric long-term trends in Baltic sea-level variability
R. V. Donner
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
R. Ehrcke
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
S. M. Barbosa
Instituto Dom Luiz, University of Lisbon, Campo Grande, Edifício C8, 1749-016 Lisboa, Portugal
J. Wagner
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
J. F. Donges
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Department of Physics, Humboldt University Berlin, Newtonstr. 15, 12489 Berlin, Germany
J. Kurths
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Department of Physics, Humboldt University Berlin, Newtonstr. 15, 12489 Berlin, Germany
Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen AB243UE, UK
Viewed
Total article views: 2,753 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,503 | 1,093 | 157 | 2,753 | 181 | 168 |
- HTML: 1,503
- PDF: 1,093
- XML: 157
- Total: 2,753
- BibTeX: 181
- EndNote: 168
Cited
34 citations as recorded by crossref.
- Ensemble approach for projections of return periods of extreme water levels in Estonian waters M. Eelsalu et al. 10.1016/j.csr.2014.09.012
- Investigation of sea level variability in the Baltic Sea from tide gauge, satellite altimeter data, and model reanalysis Q. Xu et al. 10.1080/01431161.2015.1043405
- Acceleration in European Mean Sea Level? A New Insight Using Improved Tools P. Watson 10.2112/JCOASTRES-D-16-00134.1
- A comparison of seasonal variations of sea level in the southern Baltic Sea from altimetry and tide gauge data K. Pajak & K. Kowalczyk 10.1016/j.asr.2018.11.022
- Advances in estimating Sea Level Rise: A review of tide gauge, satellite altimetry and spatial data science approaches N. Adebisi et al. 10.1016/j.ocecoaman.2021.105632
- Temporal variability of the Baltic Sea level based on satellite observations M. Stramska 10.1016/j.ecss.2013.09.002
- Changes in extreme sea-levels in the Baltic Sea A. Ribeiro et al. 10.3402/tellusa.v66.20921
- Evidence for multidecadal variability in US extreme sea level records T. Wahl & D. Chambers 10.1002/2014JC010443
- Decomposing Mean Sea Level Rise in a Semi-Enclosed Basin, the Baltic Sea U. Gräwe et al. 10.1175/JCLI-D-18-0174.1
- Different trends in extreme and median surface aerosol extinction coefficients over China inferred from quality-controlled visibility data J. Li et al. 10.5194/acp-18-3289-2018
- A Rigorous Statistical Assessment of Recent Trends in Intensity of Heavy Precipitation Over Germany C. Passow & R. Donner 10.3389/fenvs.2019.00143
- The key role of vertical land motions in coastal sea level variations: A global synthesis of multisatellite altimetry, tide gauge data and GPS measurements J. Pfeffer & P. Allemand 10.1016/j.epsl.2016.01.027
- Nonstationary extreme value analysis of temperature extremes in China M. Gao & H. Zheng 10.1007/s00477-017-1482-0
- Towards the development of economic damage functions for weather and climate extremes C. Franzke 10.1016/j.ecolecon.2021.107172
- Analysis of seasonal precipitation trend based on different quantiles in northern Iran K. Solaimani & S. Bararkhanpour Ahmadi 10.1007/s13762-022-04011-3
- Risk of extreme high fatalities due to weather and climate hazards and its connection to large-scale climate variability C. Franzke & H. Torelló i Sentelles 10.1007/s10584-020-02825-z
- Long-term changes in the seasonality of Baltic sea level S. Barbosa & R. Donner 10.3402/tellusa.v68.30540
- Sea level variability in the Swedish Exclusive Economic Zone and adjacent seawaters: influence on a point absorbing wave energy converter V. Castellucci & E. Strömstedt 10.5194/os-15-1517-2019
- Local trend disparities of European minimum and maximum temperature extremes C. Franzke 10.1002/2015GL065011
- Multidecadal Sea Level Variability in the Baltic Sea and Its Impact on Acceleration Estimations A. Agha Karimi et al. 10.3389/fmars.2021.702512
- Quantile Regression–Based Spatiotemporal Analysis of Extreme Temperature Change in China M. Gao & C. Franzke 10.1175/JCLI-D-17-0356.1
- Long‐Term Trends of Northern Hemispheric Winter Cyclones in the Extended ERA5 Reanalysis A. Karwat et al. 10.1029/2022JD036952
- Precipitation changes from two long-term hourly datasets in Tuscany, Italy G. Bartolini et al. 10.1002/joc.3956
- The role of city size and urban form in the surface urban heat island B. Zhou et al. 10.1038/s41598-017-04242-2
- Analysis of global vegetation resilience under different future climate scenarios Z. Chen et al. 10.1007/s00382-024-07317-9
- Future Projections of Heat Mortality Risk for Major European Cities A. Karwat & C. Franzke 10.1175/WCAS-D-20-0142.1
- Spatiotemporal changes of climatic parameters extreme quantiles and their role on evaporation in N. Iran (Golestan province) K. Solaimani & S. Bararkhanpour 10.1007/s12517-021-09300-8
- Changes in extreme rainfall and its implications for design rainfall using a Bayesian quantile regression approach S. Uranchimeg et al. 10.2166/nh.2020.003
- Seasonal variability in the Baltic Sea level**This work was supported through the SatBaltyk project funded by the European Union through the European Regional Development Fund, (contract No. POIG.01.01.02-22-011/09 entitled ‘The satellite monitoring of the Baltic Sea environment’). M. Stramska et al. 10.5697/oc.55-4.787
- Changes in seasonal snow water equivalent distribution in High Mountain Asia (1987 to 2009) T. Smith & B. Bookhagen 10.1126/sciadv.1701550
- Baltic Sea level changes from satellite altimetry data based on the OptD metod K. Pajak 10.13168/AGG.2019.0019
- Empirical evidence for recent global shifts in vegetation resilience T. Smith et al. 10.1038/s41558-022-01352-2
- A review of trend models applied to sea level data with reference to the “acceleration‐deceleration debate” H. Visser et al. 10.1002/2015JC010716
- Non-stationary hydrologic frequency analysis using B-spline quantile regression B. Nasri et al. 10.1016/j.jhydrol.2017.09.035
Latest update: 23 Nov 2024
