Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Sönke Dangendorf"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Predicting climate impacts is challenging and has to date relied on indirect methods, notably modeling. Here we examine coastal ecosystem change during 13 years of unusually rapid, albeit likely temporary, sea-level rise ( > 10 mm yr−1) in
Externí odkaz:
https://doaj.org/article/7d3b6951f99d40859b3429e016745ed8
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract The U.S. coastlines have experienced rapid increases in occurrences of High Tide Flooding (HTF) during recent decades. While it is generally accepted that relative mean sea level (RMSL) rise is the dominant cause for this, an attribution to
Externí odkaz:
https://doaj.org/article/c0a856c0b9d74e2b9f7bf85c295c0256
Autor:
Sönke Dangendorf, Noah Hendricks, Qiang Sun, John Klinck, Tal Ezer, Thomas Frederikse, Francisco M. Calafat, Thomas Wahl, Torbjörn E. Törnqvist
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract While there is evidence for an acceleration in global mean sea level (MSL) since the 1960s, its detection at local levels has been hampered by the considerable influence of natural variability on the rate of MSL change. Here we report a MSL
Externí odkaz:
https://doaj.org/article/3208791f3c6043979125cb055fc75a22
Autor:
Michael Getachew Tadesse, Thomas Wahl, Md Mamunur Rashid, Sönke Dangendorf, Alejandra Rodríguez-Enríquez, Stefan Andreas Talke
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract We address the challenge, due to sparse observational records, of investigating long-term changes in the storm surge climate globally. We use two centennial and three satellite-era daily storm surge time series from the Global Storm Surge Re
Externí odkaz:
https://doaj.org/article/cfdf12139375457285972b45a4da1f6a
Autor:
Thomas van der Pol, Jochen Hinkel, Jan Merkens, Leigh MacPherson, Athanasios T. Vafeidis, Arne Arns, Sönke Dangendorf
Publikováno v:
Climate Risk Management, Vol 32, Iss , Pp 100289- (2021)
Mean and extreme sea-level uncertainties, as well as uncertainty about future flood exposure, hinder the risk-based optimisation of flood protection investments. To deal with these uncertainties, cost-benefit analysis (CBA) and methods for robust dec
Externí odkaz:
https://doaj.org/article/f50effaf85c247bc811c32a878c242ea
Publikováno v:
Frontiers in Marine Science, Vol 7 (2020)
Assessments of flood exposure and risk are usually conducted for individual events with a specific peak water level and hydrograph, without considering variations in the temporal evolution (duration and intensity) of storm surges. Here we investigate
Externí odkaz:
https://doaj.org/article/d362f5edd9c94607890ec65553def061
Publikováno v:
Journal of Marine Science and Engineering, Vol 5, Iss 3, p 43 (2017)
Northern European sea levels show a non-stationary link to the North Atlantic Oscillation (NAO). The location of the centers of the NAO dipole, however, can be affected through the interplay with the East Atlantic (EAP) and the Scandinavian (SCAN) te
Externí odkaz:
https://doaj.org/article/720e6f31bfb143fe88a1a8bd698062a3
Publikováno v:
Environmental Research Letters, Vol 11, Iss 5, p 054001 (2016)
Design water levels for coastal structures are usually estimated based on extreme value statistics. Since their robustness depends heavily on the sample size of observations, regular statistical updates are needed, especially after extreme events. He
Externí odkaz:
https://doaj.org/article/621e89c6f64b489fb5d633e35e9a2b75
Autor:
Víctor Malagón-Santos, Aimée B. A. Slangen, Tim H. J. Hermans, Sönke Dangendorf, Marta Marcos, Nicola Maher
Publikováno v:
eISSN
Ocean Science
Ocean Science
Regional emulation tools based on statistical relationships, such as pattern scaling, provide a computationally inexpensive way of projecting ocean dynamic sea-level change for a broad range of climate change scenarios. Such approaches usually requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a58fd5c1918538e2e888abcf790bb841
https://doi.org/10.5194/os-19-499-2023
https://doi.org/10.5194/os-19-499-2023
Autor:
Víctor Malagón-Santos, Aimée B.A. Slangen, Tim H.J. Hermans, Sönke Dangendorf, Marta Marcos, Nicola Maher
Regional emulation tools based on statistical relationships, such as pattern scaling, provide a computationally inexpensive way of projecting ocean dynamic sea-level change for a broad range of climate change scenarios. Such approaches usually requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d9ba82c0d5b676ddf732f2c33b2fd2a
https://doi.org/10.5194/egusphere-egu23-6990
https://doi.org/10.5194/egusphere-egu23-6990
