Articles | Volume 19, issue 4
https://doi.org/10.5194/os-19-991-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-19-991-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2023
Research article |
| 06 Jul 2023
| 06 Jul 2023
The acceleration of sea-level rise along the coast of the Netherlands started in the 1960s
R&D Weather and Climate Modelling, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Dewi Le Bars
R&D Weather and Climate Modelling, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Cees de Valk
R&D Weather and Climate Modelling, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
André Jüling
R&D Weather and Climate Modelling, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Roderik van de Wal
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Sybren Drijfhout
R&D Weather and Climate Modelling, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands
Related authors
Dewi Le Bars, Iris Keizer, and Sybren Drijfhout
EGUsphere, https://doi.org/10.5194/egusphere-2024-2872, https://doi.org/10.5194/egusphere-2024-2872, 2024
Short summary
Short summary
While preparing a new set of sea level scenarios for the Netherlands, we found out that many climate models overestimate the changes in ocean circulation over the last 30 years. To quantify this effect, we defined three methods that rely on diverse and independent observations: tide gauges, satellite altimetry, temperature and salinity in the ocean, land ice melt, etc. Based on these observations, we select the best climate models to produce better sea level projections.
Caroline Jacoba van Calcar, Pippa L. Whitehouse, Roderik S. W. van de Wal, and Wouter van der Wal
EGUsphere, https://doi.org/10.5194/egusphere-2024-2982, https://doi.org/10.5194/egusphere-2024-2982, 2024
Short summary
Short summary
The bedrock response to a melting Antarctic ice sheet delays grounding line retreat by up to 130 years and reduces sea level rise by up to 23% compared to excluding this effect. Current ice sheet models often use computationally fast but simplified Earth models that do not capture this feedback well. We recommend parameters for simple Earth models that approximate bedrock uplift and ice sheet evolution from a complex ice sheet - Earth model to improve sea level projections of the next centuries.
Angélique Melet, Roderik van de Wal, Angel Amores, Arne Arns, Alisée A. Chaigneau, Irina Dinu, Ivan D. Haigh, Tim H. J. Hermans, Piero Lionello, Marta Marcos, H. E. Markus Meier, Benoit Meyssignac, Matthew D. Palmer, Ronja Reese, Matthew J. R. Simpson, and Aimée B. A. Slangen
State Planet, 3-slre1, 4, https://doi.org/10.5194/sp-3-slre1-4-2024, https://doi.org/10.5194/sp-3-slre1-4-2024, 2024
Short summary
Short summary
The EU Knowledge Hub on Sea Level Rise’s Assessment Report strives to synthesize the current scientific knowledge on sea level rise and its impacts across local, national, and EU scales to support evidence-based policy and decision-making, primarily targeting coastal areas. This paper complements IPCC reports by documenting the state of knowledge of observed and 21st century projected changes in mean and extreme sea levels with more regional information for EU seas as scoped with stakeholders.
Roderik van de Wal, Angélique Melet, Debora Bellafiore, Paula Camus, Christian Ferrarin, Gualbert Oude Essink, Ivan D. Haigh, Piero Lionello, Arjen Luijendijk, Alexandra Toimil, Joanna Staneva, and Michalis Vousdoukas
State Planet, 3-slre1, 5, https://doi.org/10.5194/sp-3-slre1-5-2024, https://doi.org/10.5194/sp-3-slre1-5-2024, 2024
Short summary
Short summary
Sea level rise has major impacts in Europe, which vary from place to place and in time, depending on the source of the impacts. Flooding, erosion, and saltwater intrusion lead, via different pathways, to various consequences for coastal regions across Europe. This causes damage to assets, the environment, and people for all three categories of impacts discussed in this paper. The paper provides an overview of the various impacts in Europe.
Bart van den Hurk, Nadia Pinardi, Alexander Bisaro, Giulia Galluccio, José A. Jiménez, Kate Larkin, Angélique Melet, Lavinia Giulia Pomarico, Kristin Richter, Kanika Singh, Roderik van de Wal, and Gundula Winter
State Planet, 3-slre1, 1, https://doi.org/10.5194/sp-3-slre1-1-2024, https://doi.org/10.5194/sp-3-slre1-1-2024, 2024
Short summary
Short summary
The Summary for Policymakers compiles findings from “Sea Level Rise in Europe: 1st Assessment Report of the Knowledge Hub on Sea Level Rise”. It covers knowledge gaps, observations, projections, impacts, adaptation measures, decision-making principles, and governance challenges. It provides information for each European basin (Mediterranean, Black Sea, North Sea, Baltic Sea, Atlantic, and Arctic) and aims to assist policymakers in enhancing the preparedness of European coasts for sea level rise.
Erwin Lambert, Dewi Le Bars, Eveline van der Linden, André Jüling, and Sybren Drijfhout
EGUsphere, https://doi.org/10.5194/egusphere-2024-2257, https://doi.org/10.5194/egusphere-2024-2257, 2024
Short summary
Short summary
Ocean warming around Antarctica leads to ice melting and sea-level rise. The meltwater that flows into the surrounding ocean can lead to enhanced warming of the seawater, thereby again increasing melting and sea-level rise. This process, however, is not currently included in climate models. Through a simple mathematical approach, we find that this process can lead to more melting and more sea-level rise, possibly increasing the Antarctic contribution to 21st century sea level rise by 80 %.
Dewi Le Bars, Iris Keizer, and Sybren Drijfhout
EGUsphere, https://doi.org/10.5194/egusphere-2024-2872, https://doi.org/10.5194/egusphere-2024-2872, 2024
Short summary
Short summary
While preparing a new set of sea level scenarios for the Netherlands, we found out that many climate models overestimate the changes in ocean circulation over the last 30 years. To quantify this effect, we defined three methods that rely on diverse and independent observations: tide gauges, satellite altimetry, temperature and salinity in the ocean, land ice melt, etc. Based on these observations, we select the best climate models to produce better sea level projections.
Meike D. W. Scherrenberg, Constantijn J. Berends, and Roderik S. W. van de Wal
Clim. Past Discuss., https://doi.org/10.5194/cp-2024-57, https://doi.org/10.5194/cp-2024-57, 2024
Preprint under review for CP
Short summary
Short summary
Glacial cycle duration changed from 41.000 to 100.000 years during the Mid-Pleistocene Transition (MPT), but the cause is still under debate. We simulate the MPT with an ice-sheet model forced by prescribed CO2 and insolation, and simple ice-climate interactions. Before the MPT, glacial cycles follow insolation. After the MPT, low CO2 levels may compensate warming at insolation maxima, increasing the length of glacial cycles until the North American ice sheet becomes large and thereby unstable.
Meike D. W. Scherrenberg, Constantijn J. Berends, and Roderik S. W. van de Wal
Clim. Past, 20, 1761–1784, https://doi.org/10.5194/cp-20-1761-2024, https://doi.org/10.5194/cp-20-1761-2024, 2024
Short summary
Short summary
During Late Pleistocene glacial cycles, the Eurasian and North American ice sheets grew and melted, resulting in over 100 m of sea-level change. Studying the melting of past ice sheets can improve our understanding of how ice sheets might respond in the future. In this study, we find that melting increases due to proglacial lakes forming at the margins of the ice sheets, primarily due to the reduced basal friction of floating ice. Furthermore, bedrock uplift rates can strongly influence melting.
Kim de Wit, Kim M. Cohen, and Roderik S. W. Van de Wal
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-271, https://doi.org/10.5194/essd-2024-271, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
In the Holocene, deltas and coastal plains developed due to relative sea level rise (RSLR). Past coastal and inland water levels are preserved in geological indicators, like basal peats. We present a data set of 712 Holocene water-level indicators from the Dutch coastal plain, relevant for studying RSLR and regional subsidence, compiled in HOLSEA workbook format. Our new, internally consistent, expanded documentation encourages multiple data uses and to report RSLR uncertainties transparently.
Daniel Francis James Gunning, Kerim Hestnes Nisancioglu, Emilie Capron, and Roderik van de Wal
EGUsphere, https://doi.org/10.5194/egusphere-2024-1384, https://doi.org/10.5194/egusphere-2024-1384, 2024
Short summary
Short summary
This work documents the first results from ZEMBA: an energy balance model of the climate system. The model is a computationally efficient tool designed to study the response of climate to changes in the Earth’s orbit. We demonstrate ZEMBA reproduces many features of the Earth’s climate for both the pre-industrial period and the Earth’s most recent cold extreme- the Last Glacial Maximum. We intend to develop ZEMBA further and investigate the glacial cycles of the last 2.5 million years.
Cees de Valk and Henk van den Brink
EGUsphere, https://doi.org/10.5194/egusphere-2024-912, https://doi.org/10.5194/egusphere-2024-912, 2024
Short summary
Short summary
Recently updated flood safety norms in the Netherlands prescribe that sea dikes and other flood-protecting structures should withstand high sea levels reached very rarely, locally down to only once in 10 million years. We show that such levels can be estimated with reasonable accuracy by the cautious use of very large datasets of numerical simulations of weather and storm surge.
Tim van den Akker, William H. Lipscomb, Gunter R. Leguy, Jorjo Bernales, Constantijn Berends, Willem Jan van de Berg, and Roderik S. W. van de Wal
EGUsphere, https://doi.org/10.5194/egusphere-2024-851, https://doi.org/10.5194/egusphere-2024-851, 2024
Short summary
Short summary
In this study, we present an improved way of representing ice thickness change rates into an ice sheet model. We apply this method using two ice sheet models on the Antarctic Ice Sheet. We found that the two largest outlet glaciers on the Antarctic Ice Sheet, the Thwaites Glacier and Pine Island Glacier, will collapse without further warming on a timescale of centuries. This would cause a sea level rise of about 1.2 meters globally.
Eric Mortensen, Timothy Tiggeloven, Toon Haer, Bas van Bemmel, Dewi Le Bars, Sanne Muis, Dirk Eilander, Frederiek Sperna Weiland, Arno Bouwman, Willem Ligtvoet, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 24, 1381–1400, https://doi.org/10.5194/nhess-24-1381-2024, https://doi.org/10.5194/nhess-24-1381-2024, 2024
Short summary
Short summary
Current levels of coastal flood risk are projected to increase in coming decades due to various reasons, e.g. sea-level rise, land subsidence, and coastal urbanization: action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on a global scale to estimate what levels of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
Constantijn J. Berends, Victor Azizi, Jorge Bernales, and Roderik S. W. van de Wal
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-5, https://doi.org/10.5194/gmd-2024-5, 2024
Revised manuscript under review for GMD
Short summary
Short summary
Ice-sheet models are computer programs that can simulate how the Greenland and Antarctic ice sheets will evolve in the future. The accuracy of these models depends on their resolution: how small the details are that the model can resolve. We have created a model with a variable resolution, which can resolve a lot of detail in areas where lots of changes happen in the ice, and less detail in areas where the ice does not move so much. This makes the model both accurate and fast.
Lennert B. Stap, Constantijn J. Berends, and Roderik S. W. van de Wal
Clim. Past, 20, 257–266, https://doi.org/10.5194/cp-20-257-2024, https://doi.org/10.5194/cp-20-257-2024, 2024
Short summary
Short summary
Analysing simulations of Antarctic Ice Sheet variability during the early and mid-Miocene (23 to 14 Myr ago), we find that the ice sheet area adapts faster and more strongly than volume to climate change on quasi-orbital timescales. Considering the recent discovery that ice area, rather than volume, influences deep-ocean temperatures, this implies that the Miocene Antarctic Ice Sheet affects deep-ocean temperatures more than its volume suggests.
Henrique M. D. Goulart, Irene Benito Lazaro, Linda van Garderen, Karin van der Wiel, Dewi Le Bars, Elco Koks, and Bart van den Hurk
Nat. Hazards Earth Syst. Sci., 24, 29–45, https://doi.org/10.5194/nhess-24-29-2024, https://doi.org/10.5194/nhess-24-29-2024, 2024
Short summary
Short summary
We explore how Hurricane Sandy (2012) could flood New York City under different scenarios, including climate change and internal variability. We find that sea level rise can quadruple coastal flood volumes, while changes in Sandy's landfall location can double flood volumes. Our results show the need for diverse scenarios that include climate change and internal variability and for integrating climate information into a modelling framework, offering insights for high-impact event assessments.
Neil C. Swart, Torge Martin, Rebecca Beadling, Jia-Jia Chen, Christopher Danek, Matthew H. England, Riccardo Farneti, Stephen M. Griffies, Tore Hattermann, Judith Hauck, F. Alexander Haumann, André Jüling, Qian Li, John Marshall, Morven Muilwijk, Andrew G. Pauling, Ariaan Purich, Inga J. Smith, and Max Thomas
Geosci. Model Dev., 16, 7289–7309, https://doi.org/10.5194/gmd-16-7289-2023, https://doi.org/10.5194/gmd-16-7289-2023, 2023
Short summary
Short summary
Current climate models typically do not include full representation of ice sheets. As the climate warms and the ice sheets melt, they add freshwater to the ocean. This freshwater can influence climate change, for example by causing more sea ice to form. In this paper we propose a set of experiments to test the influence of this missing meltwater from Antarctica using multiple different climate models.
Hélène Seroussi, Vincent Verjans, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Benjamin K. Galton-Fenzi, Rupert Gladstone, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hattermann, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Peter Van Katwyk, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere, 17, 5197–5217, https://doi.org/10.5194/tc-17-5197-2023, https://doi.org/10.5194/tc-17-5197-2023, 2023
Short summary
Short summary
Mass loss from Antarctica is a key contributor to sea level rise over the 21st century, and the associated uncertainty dominates sea level projections. We highlight here the Antarctic glaciers showing the largest changes and quantify the main sources of uncertainty in their future evolution using an ensemble of ice flow models. We show that on top of Pine Island and Thwaites glaciers, Totten and Moscow University glaciers show rapid changes and a strong sensitivity to warmer ocean conditions.
Caroline J. van Calcar, Roderik S. W. van de Wal, Bas Blank, Bas de Boer, and Wouter van der Wal
Geosci. Model Dev., 16, 5473–5492, https://doi.org/10.5194/gmd-16-5473-2023, https://doi.org/10.5194/gmd-16-5473-2023, 2023
Short summary
Short summary
The waxing and waning of the Antarctic ice sheet caused the Earth’s surface to deform, which is stabilizing the ice sheet and mainly determined by the spatially variable viscosity of the mantle. Including this feedback in model simulations led to significant differences in ice sheet extent and ice thickness over the last glacial cycle. The results underline and quantify the importance of including this local feedback effect in ice sheet models when simulating the Antarctic ice sheet evolution.
Erwin Lambert, André Jüling, Roderik S. W. van de Wal, and Paul R. Holland
The Cryosphere, 17, 3203–3228, https://doi.org/10.5194/tc-17-3203-2023, https://doi.org/10.5194/tc-17-3203-2023, 2023
Short summary
Short summary
A major uncertainty in the study of sea level rise is the melting of the Antarctic ice sheet by the ocean. Here, we have developed a new model, named LADDIE, that simulates this ocean-driven melting of the floating parts of the Antarctic ice sheet. This model simulates fine-scale patterns of melting and freezing and requires significantly fewer computational resources than state-of-the-art ocean models. LADDIE can be used as a new tool to force high-resolution ice sheet models.
Constantijn J. Berends, Roderik S. W. van de Wal, Tim van den Akker, and William H. Lipscomb
The Cryosphere, 17, 1585–1600, https://doi.org/10.5194/tc-17-1585-2023, https://doi.org/10.5194/tc-17-1585-2023, 2023
Short summary
Short summary
The rate at which the Antarctic ice sheet will melt because of anthropogenic climate change is uncertain. Part of this uncertainty stems from processes occurring beneath the ice, such as the way the ice slides over the underlying bedrock.
Inversion methodsattempt to use observations of the ice-sheet surface to calculate how these sliding processes work. We show that such methods cannot fully solve this problem, so a substantial uncertainty still remains in projections of sea-level rise.
Meike D. W. Scherrenberg, Constantijn J. Berends, Lennert B. Stap, and Roderik S. W. van de Wal
Clim. Past, 19, 399–418, https://doi.org/10.5194/cp-19-399-2023, https://doi.org/10.5194/cp-19-399-2023, 2023
Short summary
Short summary
Ice sheets have a large effect on climate and vice versa. Here we use an ice sheet computer model to simulate the last glacial cycle and compare two methods, one that implicitly includes these feedbacks and one that does not. We found that when including simple climate feedbacks, the North American ice sheet develops from two domes instead of many small domes. Each ice sheet melts slower when including feedbacks. We attribute this difference mostly to air temperature–ice sheet interactions.
Eveline C. van der Linden, Dewi Le Bars, Erwin Lambert, and Sybren Drijfhout
The Cryosphere, 17, 79–103, https://doi.org/10.5194/tc-17-79-2023, https://doi.org/10.5194/tc-17-79-2023, 2023
Short summary
Short summary
The Antarctic ice sheet (AIS) is the largest uncertainty in future sea level estimates. The AIS mainly loses mass through ice discharge, the transfer of land ice into the ocean. Ice discharge is triggered by warming ocean water (basal melt). New future estimates of AIS sea level contributions are presented in which basal melt is constrained with ice discharge observations. Despite the different methodology, the resulting projections are in line with previous multimodel assessments.
Constantijn J. Berends, Heiko Goelzer, Thomas J. Reerink, Lennert B. Stap, and Roderik S. W. van de Wal
Geosci. Model Dev., 15, 5667–5688, https://doi.org/10.5194/gmd-15-5667-2022, https://doi.org/10.5194/gmd-15-5667-2022, 2022
Short summary
Short summary
The rate at which marine ice sheets such as the West Antarctic ice sheet will retreat in a warming climate and ocean is still uncertain. Numerical ice-sheet models, which solve the physical equations that describe the way glaciers and ice sheets deform and flow, have been substantially improved in recent years. Here we present the results of several years of work on IMAU-ICE, an ice-sheet model of intermediate complexity, which can be used to study ice sheets of both the past and the future.
Lennert B. Stap, Constantijn J. Berends, Meike D. W. Scherrenberg, Roderik S. W. van de Wal, and Edward G. W. Gasson
The Cryosphere, 16, 1315–1332, https://doi.org/10.5194/tc-16-1315-2022, https://doi.org/10.5194/tc-16-1315-2022, 2022
Short summary
Short summary
To gain understanding of how the Antarctic ice sheet responded to CO2 changes during past warm climate conditions, we simulate its variability during the Miocene. We include feedbacks between the ice sheet and atmosphere in our model and force the model using time-varying climate conditions. We find that these feedbacks reduce the amplitude of ice volume variations. Erosion-induced changes in the bedrock below the ice sheet that manifested during the Miocene also have a damping effect.
André Jüling, Anna von der Heydt, and Henk A. Dijkstra
Ocean Sci., 17, 1251–1271, https://doi.org/10.5194/os-17-1251-2021, https://doi.org/10.5194/os-17-1251-2021, 2021
Short summary
Short summary
On top of forced changes such as human-caused global warming, unforced climate variability exists. Most multidecadal variability (MV) involves the oceans, but current climate models use non-turbulent, coarse-resolution oceans. We investigate the effect of resolving important turbulent ocean features on MV. We find that ocean heat content, ocean–atmosphere heat flux, and global mean surface temperature MV is more pronounced in the higher-resolution model relative to higher-frequency variability.
André Jüling, Xun Zhang, Daniele Castellana, Anna S. von der Heydt, and Henk A. Dijkstra
Ocean Sci., 17, 729–754, https://doi.org/10.5194/os-17-729-2021, https://doi.org/10.5194/os-17-729-2021, 2021
Short summary
Short summary
We investigate how the freshwater budget of the Atlantic changes under climate change, which has implications for the stability of the Atlantic Meridional Overturning Circulation. We compare the effect of ocean model resolution in a climate model and find many similarities between the simulations, enhancing trust in the current generation of climate models. However, ocean biases are reduced in the strongly eddying simulation, and significant local freshwater budget differences exist.
Constantijn J. Berends, Heiko Goelzer, and Roderik S. W. van de Wal
Geosci. Model Dev., 14, 2443–2470, https://doi.org/10.5194/gmd-14-2443-2021, https://doi.org/10.5194/gmd-14-2443-2021, 2021
Short summary
Short summary
The largest uncertainty in projections of sea-level rise comes from ice-sheet retreat. To better understand how these ice sheets respond to the changing climate, ice-sheet models are used, which must be able to reproduce both their present and past evolution. We have created a model that is fast enough to simulate an ice sheet at a high resolution over the course of an entire 120 000-year glacial cycle. This allows us to study processes that cannot be captured by lower-resolution models.
Constantijn J. Berends, Bas de Boer, and Roderik S. W. van de Wal
Clim. Past, 17, 361–377, https://doi.org/10.5194/cp-17-361-2021, https://doi.org/10.5194/cp-17-361-2021, 2021
Short summary
Short summary
For the past 2.6 million years, the Earth has experienced glacial cycles, where vast ice sheets periodically grew to cover large parts of North America and Eurasia. In the earlier part of this period, this happened every 40 000 years. This value changed 1.2 million years ago to 100 000 years: the Mid-Pleistocene Transition. We investigate this interesting period using an ice-sheet model, studying the interactions between ice sheets and the global climate.
Jelle van den Berk, Sybren Drijfhout, and Wilco Hazeleger
Earth Syst. Dynam., 12, 69–81, https://doi.org/10.5194/esd-12-69-2021, https://doi.org/10.5194/esd-12-69-2021, 2021
Short summary
Short summary
A collapse of the Atlantic Meridional Overturning Circulation can be described by six parameters and Langevin dynamics. These parameters can be determined from collapses seen in climate models of intermediate complexity. With this parameterisation, it might be possible to estimate how much fresh water is needed to observe a collapse in more complicated models and reality.
Xavier Fettweis, Stefan Hofer, Uta Krebs-Kanzow, Charles Amory, Teruo Aoki, Constantijn J. Berends, Andreas Born, Jason E. Box, Alison Delhasse, Koji Fujita, Paul Gierz, Heiko Goelzer, Edward Hanna, Akihiro Hashimoto, Philippe Huybrechts, Marie-Luise Kapsch, Michalea D. King, Christoph Kittel, Charlotte Lang, Peter L. Langen, Jan T. M. Lenaerts, Glen E. Liston, Gerrit Lohmann, Sebastian H. Mernild, Uwe Mikolajewicz, Kameswarrao Modali, Ruth H. Mottram, Masashi Niwano, Brice Noël, Jonathan C. Ryan, Amy Smith, Jan Streffing, Marco Tedesco, Willem Jan van de Berg, Michiel van den Broeke, Roderik S. W. van de Wal, Leo van Kampenhout, David Wilton, Bert Wouters, Florian Ziemen, and Tobias Zolles
The Cryosphere, 14, 3935–3958, https://doi.org/10.5194/tc-14-3935-2020, https://doi.org/10.5194/tc-14-3935-2020, 2020
Short summary
Short summary
We evaluated simulated Greenland Ice Sheet surface mass balance from 5 kinds of models. While the most complex (but expensive to compute) models remain the best, the faster/simpler models also compare reliably with observations and have biases of the same order as the regional models. Discrepancies in the trend over 2000–2012, however, suggest that large uncertainties remain in the modelled future SMB changes as they are highly impacted by the meltwater runoff biases over the current climate.
Heiko Goelzer, Sophie Nowicki, Anthony Payne, Eric Larour, Helene Seroussi, William H. Lipscomb, Jonathan Gregory, Ayako Abe-Ouchi, Andrew Shepherd, Erika Simon, Cécile Agosta, Patrick Alexander, Andy Aschwanden, Alice Barthel, Reinhard Calov, Christopher Chambers, Youngmin Choi, Joshua Cuzzone, Christophe Dumas, Tamsin Edwards, Denis Felikson, Xavier Fettweis, Nicholas R. Golledge, Ralf Greve, Angelika Humbert, Philippe Huybrechts, Sebastien Le clec'h, Victoria Lee, Gunter Leguy, Chris Little, Daniel P. Lowry, Mathieu Morlighem, Isabel Nias, Aurelien Quiquet, Martin Rückamp, Nicole-Jeanne Schlegel, Donald A. Slater, Robin S. Smith, Fiamma Straneo, Lev Tarasov, Roderik van de Wal, and Michiel van den Broeke
The Cryosphere, 14, 3071–3096, https://doi.org/10.5194/tc-14-3071-2020, https://doi.org/10.5194/tc-14-3071-2020, 2020
Short summary
Short summary
In this paper we use a large ensemble of Greenland ice sheet models forced by six different global climate models to project ice sheet changes and sea-level rise contributions over the 21st century.
The results for two different greenhouse gas concentration scenarios indicate that the Greenland ice sheet will continue to lose mass until 2100, with contributions to sea-level rise of 90 ± 50 mm and 32 ± 17 mm for the high (RCP8.5) and low (RCP2.6) scenario, respectively.
Hélène Seroussi, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Benjamin K. Galton-Fenzi, Rupert Gladstone, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hattermann, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere, 14, 3033–3070, https://doi.org/10.5194/tc-14-3033-2020, https://doi.org/10.5194/tc-14-3033-2020, 2020
Short summary
Short summary
The Antarctic ice sheet has been losing mass over at least the past 3 decades in response to changes in atmospheric and oceanic conditions. This study presents an ensemble of model simulations of the Antarctic evolution over the 2015–2100 period based on various ice sheet models, climate forcings and emission scenarios. Results suggest that the West Antarctic ice sheet will continue losing a large amount of ice, while the East Antarctic ice sheet could experience increased snow accumulation.
Sophie Nowicki, Heiko Goelzer, Hélène Seroussi, Anthony J. Payne, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Patrick Alexander, Xylar S. Asay-Davis, Alice Barthel, Thomas J. Bracegirdle, Richard Cullather, Denis Felikson, Xavier Fettweis, Jonathan M. Gregory, Tore Hattermann, Nicolas C. Jourdain, Peter Kuipers Munneke, Eric Larour, Christopher M. Little, Mathieu Morlighem, Isabel Nias, Andrew Shepherd, Erika Simon, Donald Slater, Robin S. Smith, Fiammetta Straneo, Luke D. Trusel, Michiel R. van den Broeke, and Roderik van de Wal
The Cryosphere, 14, 2331–2368, https://doi.org/10.5194/tc-14-2331-2020, https://doi.org/10.5194/tc-14-2331-2020, 2020
Short summary
Short summary
This paper describes the experimental protocol for ice sheet models taking part in the Ice Sheet Model Intercomparion Project for CMIP6 (ISMIP6) and presents an overview of the atmospheric and oceanic datasets to be used for the simulations. The ISMIP6 framework allows for exploring the uncertainty in 21st century sea level change from the Greenland and Antarctic ice sheets.
Heiko Goelzer, Brice P. Y. Noël, Tamsin L. Edwards, Xavier Fettweis, Jonathan M. Gregory, William H. Lipscomb, Roderik S. W. van de Wal, and Michiel R. van den Broeke
The Cryosphere, 14, 1747–1762, https://doi.org/10.5194/tc-14-1747-2020, https://doi.org/10.5194/tc-14-1747-2020, 2020
Short summary
Short summary
Future sea-level change projections with process-based ice sheet models are typically driven with surface mass balance forcing derived from climate models. In this work we address the problems arising from a mismatch of the modelled ice sheet geometry with the one used by the climate model. The proposed remapping method reproduces the original forcing data closely when applied to the original geometry and produces a physically meaningful forcing when applied to different modelled geometries.
Heiko Goelzer, Violaine Coulon, Frank Pattyn, Bas de Boer, and Roderik van de Wal
The Cryosphere, 14, 833–840, https://doi.org/10.5194/tc-14-833-2020, https://doi.org/10.5194/tc-14-833-2020, 2020
Short summary
Short summary
In our ice-sheet modelling experience and from exchange with colleagues in different groups, we found that it is not always clear how to calculate the sea-level contribution from a marine ice-sheet model. This goes hand in hand with a lack of documentation and transparency in the published literature on how the sea-level contribution is estimated in different models. With this brief communication, we hope to stimulate awareness and discussion in the community to improve on this situation.
Anders Levermann, Ricarda Winkelmann, Torsten Albrecht, Heiko Goelzer, Nicholas R. Golledge, Ralf Greve, Philippe Huybrechts, Jim Jordan, Gunter Leguy, Daniel Martin, Mathieu Morlighem, Frank Pattyn, David Pollard, Aurelien Quiquet, Christian Rodehacke, Helene Seroussi, Johannes Sutter, Tong Zhang, Jonas Van Breedam, Reinhard Calov, Robert DeConto, Christophe Dumas, Julius Garbe, G. Hilmar Gudmundsson, Matthew J. Hoffman, Angelika Humbert, Thomas Kleiner, William H. Lipscomb, Malte Meinshausen, Esmond Ng, Sophie M. J. Nowicki, Mauro Perego, Stephen F. Price, Fuyuki Saito, Nicole-Jeanne Schlegel, Sainan Sun, and Roderik S. W. van de Wal
Earth Syst. Dynam., 11, 35–76, https://doi.org/10.5194/esd-11-35-2020, https://doi.org/10.5194/esd-11-35-2020, 2020
Short summary
Short summary
We provide an estimate of the future sea level contribution of Antarctica from basal ice shelf melting up to the year 2100. The full uncertainty range in the warming-related forcing of basal melt is estimated and applied to 16 state-of-the-art ice sheet models using a linear response theory approach. The sea level contribution we obtain is very likely below 61 cm under unmitigated climate change until 2100 (RCP8.5) and very likely below 40 cm if the Paris Climate Agreement is kept.
Constantijn J. Berends, Bas de Boer, Aisling M. Dolan, Daniel J. Hill, and Roderik S. W. van de Wal
Clim. Past, 15, 1603–1619, https://doi.org/10.5194/cp-15-1603-2019, https://doi.org/10.5194/cp-15-1603-2019, 2019
Short summary
Short summary
The Late Pliocene, 3.65–2.75 million years ago, is the most recent period in Earth's history that was warmer than the present. This makes it interesting for climatological research, because it provides a possible analogue for the near future. We used a coupled ice-sheet–climate model to simulate the behaviour of these systems during this period. We show that the warmest moment saw a sea-level rise of 8–14 m, with a CO2 concentration of 320–400 ppmv.
Hélène Seroussi, Sophie Nowicki, Erika Simon, Ayako Abe-Ouchi, Torsten Albrecht, Julien Brondex, Stephen Cornford, Christophe Dumas, Fabien Gillet-Chaulet, Heiko Goelzer, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Thomas Kleiner, Eric Larour, Gunter Leguy, William H. Lipscomb, Daniel Lowry, Matthias Mengel, Mathieu Morlighem, Frank Pattyn, Anthony J. Payne, David Pollard, Stephen F. Price, Aurélien Quiquet, Thomas J. Reerink, Ronja Reese, Christian B. Rodehacke, Nicole-Jeanne Schlegel, Andrew Shepherd, Sainan Sun, Johannes Sutter, Jonas Van Breedam, Roderik S. W. van de Wal, Ricarda Winkelmann, and Tong Zhang
The Cryosphere, 13, 1441–1471, https://doi.org/10.5194/tc-13-1441-2019, https://doi.org/10.5194/tc-13-1441-2019, 2019
Short summary
Short summary
We compare a wide range of Antarctic ice sheet simulations with varying initialization techniques and model parameters to understand the role they play on the projected evolution of this ice sheet under simple scenarios. Results are improved compared to previous assessments and show that continued improvements in the representation of the floating ice around Antarctica are critical to reduce the uncertainty in the future ice sheet contribution to sea level rise.
Nina Ridder, Hylke de Vries, and Sybren Drijfhout
Nat. Hazards Earth Syst. Sci., 18, 3311–3326, https://doi.org/10.5194/nhess-18-3311-2018, https://doi.org/10.5194/nhess-18-3311-2018, 2018
Short summary
Short summary
The simultaneous occurrence of heavy precipitation and high coastal surge levels increases coastal flood risk. This study analyses the driving mechanisms behind these so-called compound events along the Dutch coast. It provides a first classification of events using the presence of atmospheric rivers (long filaments of high water vapour) and identifies differences in the meteorological conditions leading to events that can be used to setup an early warning system for coastal regions.
Constantijn J. Berends, Bas de Boer, and Roderik S. W. van de Wal
Geosci. Model Dev., 11, 4657–4675, https://doi.org/10.5194/gmd-11-4657-2018, https://doi.org/10.5194/gmd-11-4657-2018, 2018
Short summary
Short summary
We have devised a novel way to couple a climate model to an ice-sheet model. Usually, climate models are too slow to simulate more than a few centuries, whereas our new model set-up can simulate a full 120 000-year ice age in about 12 h. This makes it possible to look at the interactions between global climate and ice sheets on long timescales, something which is relevant for both research into past climate and future projections.
Eef C. H. van Dongen, Nina Kirchner, Martin B. van Gijzen, Roderik S. W. van de Wal, Thomas Zwinger, Gong Cheng, Per Lötstedt, and Lina von Sydow
Geosci. Model Dev., 11, 4563–4576, https://doi.org/10.5194/gmd-11-4563-2018, https://doi.org/10.5194/gmd-11-4563-2018, 2018
Short summary
Short summary
Ice flow forced by gravity is governed by the full Stokes (FS) equations, which are computationally expensive to solve. Therefore, approximations to the FS equations are used, especially when modeling an ice sheet on long time spans. Here, we report a combination of an approximation with the FS equations that allows simulating the dynamics of ice sheets over long time spans without introducing artifacts caused by application of approximations in parts of the domain where they are not valid.
Sarah L. Bradley, Thomas J. Reerink, Roderik S. W. van de Wal, and Michiel M. Helsen
Clim. Past, 14, 619–635, https://doi.org/10.5194/cp-14-619-2018, https://doi.org/10.5194/cp-14-619-2018, 2018
Heiko Goelzer, Sophie Nowicki, Tamsin Edwards, Matthew Beckley, Ayako Abe-Ouchi, Andy Aschwanden, Reinhard Calov, Olivier Gagliardini, Fabien Gillet-Chaulet, Nicholas R. Golledge, Jonathan Gregory, Ralf Greve, Angelika Humbert, Philippe Huybrechts, Joseph H. Kennedy, Eric Larour, William H. Lipscomb, Sébastien Le clec'h, Victoria Lee, Mathieu Morlighem, Frank Pattyn, Antony J. Payne, Christian Rodehacke, Martin Rückamp, Fuyuki Saito, Nicole Schlegel, Helene Seroussi, Andrew Shepherd, Sainan Sun, Roderik van de Wal, and Florian A. Ziemen
The Cryosphere, 12, 1433–1460, https://doi.org/10.5194/tc-12-1433-2018, https://doi.org/10.5194/tc-12-1433-2018, 2018
Short summary
Short summary
We have compared a wide spectrum of different initialisation techniques used in the ice sheet modelling community to define the modelled present-day Greenland ice sheet state as a starting point for physically based future-sea-level-change projections. Compared to earlier community-wide comparisons, we find better agreement across different models, which implies overall improvement of our understanding of what is needed to produce such initial states.
Brice Noël, Willem Jan van de Berg, J. Melchior van Wessem, Erik van Meijgaard, Dirk van As, Jan T. M. Lenaerts, Stef Lhermitte, Peter Kuipers Munneke, C. J. P. Paul Smeets, Lambertus H. van Ulft, Roderik S. W. van de Wal, and Michiel R. van den Broeke
The Cryosphere, 12, 811–831, https://doi.org/10.5194/tc-12-811-2018, https://doi.org/10.5194/tc-12-811-2018, 2018
Short summary
Short summary
We present a detailed evaluation of the latest version of the regional climate model RACMO2.3p2 at 11 km resolution (1958–2016) over the Greenland ice sheet (GrIS). The model successfully reproduces the present-day climate and surface mass balance, i.e. snowfall minus meltwater run-off, of the GrIS compared to in situ observations. Since run-off from marginal narrow glaciers is poorly resolved at 11 km, further statistical downscaling to 1 km resolution is required for mass balance studies.
Werner M. J. Lazeroms, Adrian Jenkins, G. Hilmar Gudmundsson, and Roderik S. W. van de Wal
The Cryosphere, 12, 49–70, https://doi.org/10.5194/tc-12-49-2018, https://doi.org/10.5194/tc-12-49-2018, 2018
Short summary
Short summary
Basal melting of ice shelves is a major factor in the decline of the Antarctic Ice Sheet, which can contribute significantly to sea-level rise. Here, we investigate a new basal melt model based on the dynamics of meltwater plumes. For the first time, this model is applied to all Antarctic ice shelves. The model results in a realistic melt-rate pattern given suitable data for the topography and ocean temperature, making it a promising tool for future simulations of the Antarctic Ice Sheet.
Renske C. de Winter, Thomas J. Reerink, Aimée B. A. Slangen, Hylke de Vries, Tamsin Edwards, and Roderik S. W. van de Wal
Nat. Hazards Earth Syst. Sci., 17, 2125–2141, https://doi.org/10.5194/nhess-17-2125-2017, https://doi.org/10.5194/nhess-17-2125-2017, 2017
Short summary
Short summary
This paper provides a full range of possible future sea levels on a regional scale, since it includes extreme, but possible, contributions to sea level change from dynamical mass loss from the Greenland and Antarctica ice sheets. In contrast to the symmetric distribution used in the IPCC report, it is found that an asymmetric distribution toward high sea level change values locally can increase the mean sea level by 1.8 m this century.
Lennert B. Stap, Roderik S. W. van de Wal, Bas de Boer, Richard Bintanja, and Lucas J. Lourens
Clim. Past, 13, 1243–1257, https://doi.org/10.5194/cp-13-1243-2017, https://doi.org/10.5194/cp-13-1243-2017, 2017
Short summary
Short summary
We show the results of transient simulations with a coupled climate–ice sheet model over the past 38 million years. The CO2 forcing of the model is inversely obtained from a benthic δ18O stack. These simulations enable us to study the influence of ice sheet variability on climate change on long timescales. We find that ice sheet–climate interaction strongly enhances Earth system sensitivity and polar amplification.
Michiel M. Helsen, Roderik S. W. van de Wal, Thomas J. Reerink, Richard Bintanja, Marianne S. Madsen, Shuting Yang, Qiang Li, and Qiong Zhang
The Cryosphere, 11, 1949–1965, https://doi.org/10.5194/tc-11-1949-2017, https://doi.org/10.5194/tc-11-1949-2017, 2017
Short summary
Short summary
Ice sheets reflect most incoming solar radiation back into space due to their high reflectivity (albedo). The albedo of ice sheets changes as a function of, for example, liquid water content and ageing of snow. In this study we have improved the description of albedo over the Greenland ice sheet in a global climate model. This is an important step, which also improves estimates of the annual ice mass gain or loss over the ice sheet using this global climate model.
Markella Prokopiou, Patricia Martinerie, Célia J. Sapart, Emmanuel Witrant, Guillaume Monteil, Kentaro Ishijima, Sophie Bernard, Jan Kaiser, Ingeborg Levin, Thomas Blunier, David Etheridge, Ed Dlugokencky, Roderik S. W. van de Wal, and Thomas Röckmann
Atmos. Chem. Phys., 17, 4539–4564, https://doi.org/10.5194/acp-17-4539-2017, https://doi.org/10.5194/acp-17-4539-2017, 2017
Short summary
Short summary
Nitrous oxide is the third most important anthropogenic greenhouse gas with an increasing mole fraction. To understand its natural and anthropogenic sources
we employ isotope measurements. Results show that while the N2O mole fraction increases, its heavy isotope content decreases. The isotopic changes observed underline the dominance of agricultural emissions especially at the early part of the record, whereas in the later decades the contribution from other anthropogenic sources increases.
Constantijn J. Berends and Roderik S. W. van de Wal
Geosci. Model Dev., 9, 4451–4460, https://doi.org/10.5194/gmd-9-4451-2016, https://doi.org/10.5194/gmd-9-4451-2016, 2016
Short summary
Short summary
This paper describes several improvements to the so-called "flood-fill algorithm" – a computer program widely known for its use in the "paint bucket" tool in several drawing programs such as MS Paint. However, it can also be used to determine the extent and depth of lakes in a topography map, which is useful in hydrology and climatology. In such cases, the default algorithm can be too slow to be of much use. Our improvements can make it up to 100 times faster, making it much more feasible.
Thomas J. Reerink, Willem Jan van de Berg, and Roderik S. W. van de Wal
Geosci. Model Dev., 9, 4111–4132, https://doi.org/10.5194/gmd-9-4111-2016, https://doi.org/10.5194/gmd-9-4111-2016, 2016
Short summary
Short summary
Ice sheets are part of the climate system and interact with the atmosphere and the ocean. OBLIMAP is a powerful tool to map climate fields between GCMs and ISMs (ice sheet models), which run on grids that differ in curvature, resolution and extent. OBLIMAP uses optimal aligned oblique projections, which minimize area distortions. OBLIMAP 2.0 allows for high-frequency embedded coupling and masked mapping. A fast search strategy realizes a huge performance gain and enables high-resolution mapping.
Peter Köhler, Lennert B. Stap, Anna S. von der Heydt, Bas de Boer, and Roderik S. W. van de Wal
Clim. Past Discuss., https://doi.org/10.5194/cp-2016-23, https://doi.org/10.5194/cp-2016-23, 2016
Revised manuscript not accepted
Short summary
Short summary
Evidence indicate that specific equilibrium climate sensitivity, the global annual mean surface temperature change as a response to a change in radiative forcing, is state dependent. We here show that the interpretation of data in the state-dependent case is not straightforward. We analyse the differences of a point-wise approach and one based on a piece-wise linear analysis, combine both, compare with potential model results and apply the theoretical concepts to data of the last 800 kyr.
P. Köhler, B. de Boer, A. S. von der Heydt, L. B. Stap, and R. S. W. van de Wal
Clim. Past, 11, 1801–1823, https://doi.org/10.5194/cp-11-1801-2015, https://doi.org/10.5194/cp-11-1801-2015, 2015
Short summary
Short summary
We find that the specific equilibrium climate sensitivity due to radiative forcing of CO2 and land ice albedo has been state-dependent for the last 2.1Myr (most of the Pleistocene). Its value is ~45% larger during intermediate glaciated climates and interglacial periods than during Pleistocene full glacial conditions. The state dependency is mainly caused by a latitudinal dependency in ice sheet area changes. Due to uncertainties in CO2, firm conclusions for the Pliocene are not yet possible.
B. Noël, W. J. van de Berg, E. van Meijgaard, P. Kuipers Munneke, R. S. W. van de Wal, and M. R. van den Broeke
The Cryosphere, 9, 1831–1844, https://doi.org/10.5194/tc-9-1831-2015, https://doi.org/10.5194/tc-9-1831-2015, 2015
Short summary
Short summary
We compare Greenland Ice Sheet surface mass balance (SMB) from the updated polar version of the regional climate model RACMO2.3 and the previous version 2.1. RACMO2.3 has an adjusted rainfall-to-snowfall conversion favouring summer snowfall over rainfall. Enhanced summer snowfall reduce melt rates in the ablation zone by covering dark ice with highly reflective fresh snow. This improves the modelled SMB-elevation gradient and surface energy balance compared to observations in west Greenland.
L. G. van der Wel, H. A. Been, R. S. W. van de Wal, C. J. P. P. Smeets, and H. A. J. Meijer
The Cryosphere, 9, 1089–1103, https://doi.org/10.5194/tc-9-1089-2015, https://doi.org/10.5194/tc-9-1089-2015, 2015
Short summary
Short summary
We performed 2H isotope diffusion measurements in the upper 3 metres of firn at Summit, Greenland, by following over a 4-year period isotope-enriched snow that we deposited.
We found that the diffusion process was much less rapid than in the most commonly used model. We discuss several aspects of the diffusion process that are still poorly constrained and might lead to this discrepancy. Quantitative knowledge of diffusion is necessary for use of the diffusion process itself as a climate proxy.
B. de Boer, A. M. Dolan, J. Bernales, E. Gasson, H. Goelzer, N. R. Golledge, J. Sutter, P. Huybrechts, G. Lohmann, I. Rogozhina, A. Abe-Ouchi, F. Saito, and R. S. W. van de Wal
The Cryosphere, 9, 881–903, https://doi.org/10.5194/tc-9-881-2015, https://doi.org/10.5194/tc-9-881-2015, 2015
Short summary
Short summary
We present results from simulations of the Antarctic ice sheet by means of an intercomparison project with six ice-sheet models. Our results demonstrate the difficulty of all models used here to simulate a significant retreat or re-advance of the East Antarctic ice grounding line. Improved grounding-line physics could be essential for a correct representation of the migration of the grounding line of the Antarctic ice sheet during the Pliocene.
R. S. W. van de Wal, C. J. P. P. Smeets, W. Boot, M. Stoffelen, R. van Kampen, S. H. Doyle, F. Wilhelms, M. R. van den Broeke, C. H. Reijmer, J. Oerlemans, and A. Hubbard
The Cryosphere, 9, 603–611, https://doi.org/10.5194/tc-9-603-2015, https://doi.org/10.5194/tc-9-603-2015, 2015
Short summary
Short summary
This paper addresses the feedback between ice flow and melt rates. Using 20 years of data covering the whole ablation area, we show that there is not a strong positive correlation between annual ice velocities and melt rates. Rapid variations around the equilibrium line indicate the possibility of rapid variations high on the ice sheet.
S. J. Koenig, A. M. Dolan, B. de Boer, E. J. Stone, D. J. Hill, R. M. DeConto, A. Abe-Ouchi, D. J. Lunt, D. Pollard, A. Quiquet, F. Saito, J. Savage, and R. van de Wal
Clim. Past, 11, 369–381, https://doi.org/10.5194/cp-11-369-2015, https://doi.org/10.5194/cp-11-369-2015, 2015
Short summary
Short summary
The paper assess the Greenland Ice Sheet’s sensitivity to a warm period in the past, a time when atmospheric CO2 concentrations were comparable to current levels. We quantify ice sheet volume and locations in Greenland and find that the ice sheets are less sensitive to differences in ice sheet model configurations than to changes in imposed climate forcing. We conclude that Pliocene ice was most likely to be limited to highest elevations in eastern and southern Greenland.
P. M. Alexander, M. Tedesco, X. Fettweis, R. S. W. van de Wal, C. J. P. P. Smeets, and M. R. van den Broeke
The Cryosphere, 8, 2293–2312, https://doi.org/10.5194/tc-8-2293-2014, https://doi.org/10.5194/tc-8-2293-2014, 2014
L. B. Stap, R. S. W. van de Wal, B. de Boer, R. Bintanja, and L. J. Lourens
Clim. Past, 10, 2135–2152, https://doi.org/10.5194/cp-10-2135-2014, https://doi.org/10.5194/cp-10-2135-2014, 2014
B. de Boer, P. Stocchi, and R. S. W. van de Wal
Geosci. Model Dev., 7, 2141–2156, https://doi.org/10.5194/gmd-7-2141-2014, https://doi.org/10.5194/gmd-7-2141-2014, 2014
A. B. A. Slangen, R. S. W. van de Wal, Y. Wada, and L. L. A. Vermeersen
Earth Syst. Dynam., 5, 243–255, https://doi.org/10.5194/esd-5-243-2014, https://doi.org/10.5194/esd-5-243-2014, 2014
A. A. Cimatoribus, S. Drijfhout, and H. A. Dijkstra
Ocean Sci. Discuss., https://doi.org/10.5194/osd-10-2461-2013, https://doi.org/10.5194/osd-10-2461-2013, 2013
Preprint withdrawn
M. M. Helsen, W. J. van de Berg, R. S. W. van de Wal, M. R. van den Broeke, and J. Oerlemans
Clim. Past, 9, 1773–1788, https://doi.org/10.5194/cp-9-1773-2013, https://doi.org/10.5194/cp-9-1773-2013, 2013
M. Eby, A. J. Weaver, K. Alexander, K. Zickfeld, A. Abe-Ouchi, A. A. Cimatoribus, E. Crespin, S. S. Drijfhout, N. R. Edwards, A. V. Eliseev, G. Feulner, T. Fichefet, C. E. Forest, H. Goosse, P. B. Holden, F. Joos, M. Kawamiya, D. Kicklighter, H. Kienert, K. Matsumoto, I. I. Mokhov, E. Monier, S. M. Olsen, J. O. P. Pedersen, M. Perrette, G. Philippon-Berthier, A. Ridgwell, A. Schlosser, T. Schneider von Deimling, G. Shaffer, R. S. Smith, R. Spahni, A. P. Sokolov, M. Steinacher, K. Tachiiri, K. Tokos, M. Yoshimori, N. Zeng, and F. Zhao
Clim. Past, 9, 1111–1140, https://doi.org/10.5194/cp-9-1111-2013, https://doi.org/10.5194/cp-9-1111-2013, 2013
A. A. Cimatoribus, S. S. Drijfhout, V. Livina, and G. van der Schrier
Clim. Past, 9, 323–333, https://doi.org/10.5194/cp-9-323-2013, https://doi.org/10.5194/cp-9-323-2013, 2013
M. M. Helsen, R. S. W. van de Wal, M. R. van den Broeke, W. J. van de Berg, and J. Oerlemans
The Cryosphere, 6, 255–272, https://doi.org/10.5194/tc-6-255-2012, https://doi.org/10.5194/tc-6-255-2012, 2012
R. S. W. van de Wal, B. de Boer, L. J. Lourens, P. Köhler, and R. Bintanja
Clim. Past, 7, 1459–1469, https://doi.org/10.5194/cp-7-1459-2011, https://doi.org/10.5194/cp-7-1459-2011, 2011
A. B. A. Slangen and R. S. W. van de Wal
The Cryosphere, 5, 673–686, https://doi.org/10.5194/tc-5-673-2011, https://doi.org/10.5194/tc-5-673-2011, 2011
D. Liebrand, L. J. Lourens, D. A. Hodell, B. de Boer, R. S. W. van de Wal, and H. Pälike
Clim. Past, 7, 869–880, https://doi.org/10.5194/cp-7-869-2011, https://doi.org/10.5194/cp-7-869-2011, 2011
I. G. M. Wientjes, R. S. W. Van de Wal, G. J. Reichart, A. Sluijs, and J. Oerlemans
The Cryosphere, 5, 589–601, https://doi.org/10.5194/tc-5-589-2011, https://doi.org/10.5194/tc-5-589-2011, 2011
M. R. van den Broeke, C. J. P. P. Smeets, and R. S. W. van de Wal
The Cryosphere, 5, 377–390, https://doi.org/10.5194/tc-5-377-2011, https://doi.org/10.5194/tc-5-377-2011, 2011
M. A. G. den Ouden, C. H. Reijmer, V. Pohjola, R. S. W. van de Wal, J. Oerlemans, and W. Boot
The Cryosphere, 4, 593–604, https://doi.org/10.5194/tc-4-593-2010, https://doi.org/10.5194/tc-4-593-2010, 2010
T. J. Reerink, M. A. Kliphuis, and R. S. W. van de Wal
Geosci. Model Dev., 3, 13–41, https://doi.org/10.5194/gmd-3-13-2010, https://doi.org/10.5194/gmd-3-13-2010, 2010
M. van den Broeke, P. Smeets, J. Ettema, C. van der Veen, R. van de Wal, and J. Oerlemans
The Cryosphere, 2, 179–189, https://doi.org/10.5194/tc-2-179-2008, https://doi.org/10.5194/tc-2-179-2008, 2008
J. Oerlemans, M. Dyurgerov, and R. S. W. van de Wal
The Cryosphere, 1, 59–65, https://doi.org/10.5194/tc-1-59-2007, https://doi.org/10.5194/tc-1-59-2007, 2007
J. O. Sewall, R. S. W. van de Wal, K. van der Zwan, C. van Oosterhout, H. A. Dijkstra, and C. R. Scotese
Clim. Past, 3, 647–657, https://doi.org/10.5194/cp-3-647-2007, https://doi.org/10.5194/cp-3-647-2007, 2007
Related subject area
Approach: In situ Observations | Properties and processes: Sea level | Depth range: Surface | Geographical range: Shelf Seas | Challenges: Oceans and climate
Nouméa: a new multi-mission calibration and validation site for past and future altimetry missions?
Mean sea level and tidal change in Ireland since 1842: a case study of Cork
Clémence Chupin, Valérie Ballu, Laurent Testut, Yann-Treden Tranchant, and Jérôme Aucan
Ocean Sci., 19, 1277–1314, https://doi.org/10.5194/os-19-1277-2023, https://doi.org/10.5194/os-19-1277-2023, 2023
Short summary
Short summary
Reducing uncertainties in coastal sea level trend estimates requires a better understanding of altimeter measurements and local sea level dynamics. Using long-term sea level time series from the Nouméa tide gauge (New Caledonia) and in situ data collected as part of the GEOCEAN-NC campaign, this study presents a method inspired from Cal/Val studies to re-analyse about 20 years of altimetry observations and re-address the question of sea level evolution in the lagoon.
David T. Pugh, Edmund Bridge, Robin Edwards, Peter Hogarth, Guy Westbrook, Philip L. Woodworth, and Gerard D. McCarthy
Ocean Sci., 17, 1623–1637, https://doi.org/10.5194/os-17-1623-2021, https://doi.org/10.5194/os-17-1623-2021, 2021
Short summary
Short summary
Observations of sea level, taken manually by reading a tide pole, were carefully taken at a number of locations around Ireland in 1842 as part of the first land survey of Ireland. Our study investigates how useful this type of sea level observation is for understanding mean sea level and tidal change. We find that when carefully adjusted for seasonal, meteorological, and astronomical factors, these data can provide important insights into changing sea levels.
Cited articles
Baart, F., van Gelder, P. H. A. J. M., de Ronde, J., van Koningsveld, M., and
Wouters, B.: The Effect of the 18.6-Year Lunar Nodal Cycle on
Regional Sea-Level Rise Estimates, J. Coast. Res., 28,
511–516, https://doi.org/10.2112/JCOASTRES-D-11-00169.1, 2011. a, b, c
Baart, F., Rongen, G., Hijma, M., Kooi, H., de Winter, R., and Nicolai, R.:
Zeespiegelmonitor 2018: De stand van zaken rond de zeespiegelstijging langs
de Nederlandse kust, Tech. Rep., 187 pp.,
https://deltalife.deltares.nl/deltares/de_nederlandse_delta/zeespiegelstijging/160368/Zeespiegelmonitor_2018_final.pdf (last access: 1 June 2023),
2019. a, b, c
Bell, B., Hersbach, H., Simmons, A., Berrisford, P., Dahlgren, P., Horányi,
A., Muñoz-Sabater, J., Nicolas, J., Radu, R., Schepers, D., Soci, C.,
Villaume, S., Bidlot, J.-R., Haimberger, L., Woollen, J., Buontempo, C., and
Thépaut, J.-N.: The ERA5 global reanalysis: Preliminary extension to
1950, Q. J. Roy. Meteor. Soc., 147, 4186–4227,
https://doi.org/10.1002/qj.4174, 2021. a
Bingham, R. J. and Hughes, C. W.: Local diagnostics to estimate density-induced
sea level variations over topography and along coastlines: TOPOGRAPHY AND
SEA LEVEL, J. Geophys. Res.-Ocean., 117, C01013,
https://doi.org/10.1029/2011JC007276, 2012. a, b
Bokuchava, D. D. and Semenov, V. A.: Mechanisms of the Early 20th Century
Warming in the Arctic, Earth-Sci. Rev., 222, 103820,
https://doi.org/10.1016/j.earscirev.2021.103820, 2021. a
Calafat, F. M., Chambers, D. P., and Tsimplis, M. N.: Mechanisms of decadal sea
level variability in the eastern North Atlantic and the Mediterranean
Sea, J. Geophys. Res.-Ocean., 117, C09022,
https://doi.org/10.1029/2012JC008285, 2012. a
Casanueva, A., Herrera, S., Fernández, J., Frías, M. D., and Gutiérrez, J. M.: Evaluation and projection of daily temperature percentiles from statistical and dynamical downscaling methods, Nat. Hazards Earth Syst. Sci., 13, 2089–2099, https://doi.org/10.5194/nhess-13-2089-2013, 2013. a
Chen, X., Dangendorf, S., Narayan, N., O'Driscoll, K., Tsimplis, M. N., Su, J.,
Mayer, B., and Pohlmann, T.: On sea level change in the North Sea
influenced by the North Atlantic Oscillation: Local and remote steric
effects, Estuar. Coast. Shelf Sci., 151, 186–195,
https://doi.org/10.1016/j.ecss.2014.10.009, 2014. a
Cleveland, W. S. and Devlin, S. J.: Locally Weighted Regression: An
Approach to Regression Analysis by Local Fitting, J.
Am. Stat. Assoc., 83, 596–610,
https://doi.org/10.1080/01621459.1988.10478639, 1988. a, b
Cox, D. R. and Reid, N.: A note on pseudolikelihood constructed from marginal
densities, Biometrika, 91, 729–737,
https://doi.org/10.1093/biomet/91.3.729, 2004. a
Dangendorf, S., Wahl, T., Hein, H., Jensen, J., Mai, S., and Mudersbach, C.:
Mean Sea Level Variability and Influence of the North Atlantic
Oscillation on Long-Term Trends in the German Bight, Water, 4,
170–195, https://doi.org/10.3390/w4010170, 2012. a
Dangendorf, S., Mudersbach, C., Wahl, T., and Jensen, J.: Characteristics of
intra-, inter-annual and decadal sea-level variability and the role of
meteorological forcing: the long record of Cuxhaven, Ocean Dynam., 63,
209–224, https://doi.org/10.1007/s10236-013-0598-0, 2013. a
Dangendorf, S., Frederikse, T., Chafik, L., Klinck, J. M., Ezer, T., and
Hamlington, B. D.: Data-driven reconstruction reveals large-scale ocean
circulation control on coastal sea level, Nat. Clim. Change, 11, 1–7,
https://doi.org/10.1038/s41558-021-01046-1, 2021. a
Enfield, D. B., Mestas-Nuñez, A. M., and Trimble, P. J.: The Atlantic
Multidecadal Oscillation and Its Relation to Rainfall and River Flows in
the Continental U.S, Geophys. Res. Lett., 28, 2077–2080,
https://doi.org/10.1029/2000GL012745, 2001. a, b
Ezer, T., Haigh, I. D., and Woodworth, P. L.: Nonlinear Sea-Level Trends
and Long-Term Variability on Western European Coasts, J.
Coast. Res., 32, 744–755, https://doi.org/10.2112/JCOASTRES-D-15-00165.1,
2016. a
Fox-Kemper, B., Hewitt, H. T., Xiao, C., Aðalgeirsdóttir, G., Drijfhout,
S. S., Edwards, T. L., Golledge, N. R., Hemer, M., Kopp, R. E., Krinner, G.,
Mix, A., Notz, D., Nowicki, S., Nurhati, I. S., Ruiz, L., Sallée, J. B., and
Slangen, A. B. A.: Ocean, Cryosphere and Sea Level Change, in:
Climate Change 2021: The Physical Science Basis, Contribution
of Working Group I to the Sixth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V.,
Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S.,
Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M.,
Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K.,
Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B.,
Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1211–1362, https://doi.org/10.1017/9781009157896.011, 2021. a, b, c
Frederikse, T. and Gerkema, T.: Multi-decadal variability in seasonal mean sea
level along the North Sea coast, Ocean Sci., 14, 1491–1501,
https://doi.org/10.5194/os-14-1491-2018, 2018. a, b
Frederikse, T., Riva, R., Kleinherenbrink, M., Wada, Y., van den Broeke, M.,
and Marzeion, B.: Closing the sea level budget on a regional scale: Trends
and variability on the Northwestern European continental shelf,
Geophys. Res. Lett., 43, 10864–10872, https://doi.org/10.1002/2016GL070750,
2016. a, b
Frederikse, T., Landerer, F., Caron, L., Adhikari, S., Parkes, D., Humphrey,
V. W., Dangendorf, S., Hogarth, P., Zanna, L., Cheng, L., and Wu, Y.-H.: The
causes of sea-level rise since 1900, Nature, 584, 393–397,
https://doi.org/10.1038/s41586-020-2591-3, 2020. a, b, c
Gill, A. E.: Atmosphere-Ocean Dynamics, Academic Press, google-Books-ID:
1WLNX_lfRp8C, Academic Press, 680 pp., ISBN: 9780122835223,
eBook ISBN: 9780080570525,
1982. a
Haasnoot, M., van't Klooster, S., and van Alphen, J.: Designing a monitoring
system to detect signals to adapt to uncertain climate change, Glob.
Environ. Change, 52, 273–285, https://doi.org/10.1016/j.gloenvcha.2018.08.003,
2018. a
Haigh, I. D., Wahl, T., Rohling, E. J., Price, R. M., Pattiaratchi, C. B.,
Calafat, F. M., and Dangendorf, S.: Timescales for detecting a significant
acceleration in sea level rise, Nat. Commun., 5, 3635,
https://doi.org/10.1038/ncomms4635, 2014. a, b, c, d
Hallam, S., Josey, S. A., McCarthy, G. D., and Hirschi, J. J.-M.: A regional
(land–ocean) comparison of the seasonal to decadal variability of the
Northern Hemisphere jet stream 1871–2011, Clim. Dynam., 59, 1897–1918,
https://doi.org/10.1007/s00382-022-06185-5, 2022. a, b, c
Hastie, T. J. and Tibshirani, R. J.: Generalized Additive Models,
Routledge, New York, Routledge, https://doi.org/10.1201/9780203753781, 2017. a
Hermans, T. H. J., Bars, D. L., Katsman, C. A., Camargo, C. M. L., Gerkema, T.,
Calafat, F. M., Tinker, J., and Slangen, A. B. A.: Drivers of Interannual
Sea Level Variability on the Northwestern European Shelf, J. Geophys. Res.-Ocean., 125, e2020JC016325,
https://doi.org/10.1029/2020JC016325, 2020. a
Hermans, T. H. J., Katsman, C. A., Camargo, C. M. L., Garner, G. G., Kopp,
R. E., and Slangen, A. B. A.: The Effect of Wind Stress on Seasonal
Sea-Level Change on the Northwestern European Shelf, J.
Clim., 35, 1745–1759, https://doi.org/10.1175/JCLI-D-21-0636.1, , 2022. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons,
A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati,
G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146,
1999–2049, https://doi.org/10.1002/qj.3803, 2020. a, b
Hirahara, S., Ishii, M., and Fukuda, Y.: Centennial-Scale Sea Surface
Temperature Analysis and Its Uncertainty, J. Clim., 27,
57–75, https://doi.org/10.1175/JCLI-D-12-00837.1, 2014. a, b
Holgate, S. J., Matthews, A., Woodworth, P. L., Rickards, L. J., Tamisiea,
M. E., Bradshaw, E., Foden, P. R., Gordon, K. M., Jevrejeva, S., and Pugh,
J.: New Data Systems and Products at the Permanent Service for
Mean Sea Level, J. Coast. Res., 29, 493–504,
https://doi.org/10.2112/JCOASTRES-D-12-00175.1, 2013. a
Hunter, J. D.: Matplotlib: A 2D Graphics Environment, Comput. Sci. Eng., 9, 90–95, https://doi.org/10.1109/MCSE.2007.55, 2007. a
Jevrejeva, S., Moore, J., Woodworth, P., and Grinsted, A.: Influence of
large-scale atmospheric circulation on European sea level: results based on
the wavelet transform method, Tellus A,
57, 183–193, https://doi.org/10.3402/tellusa.v57i2.14609, 2005. a
Keizer, I., Le Bars, D., Jüling, A., and De Valk, C.: Zenodo integration of
GitHub repository KNMI-sealevel/NetherlandsSeaLevelAcceleration,
Zenodo [data set and code], https://doi.org/10.5281/ZENODO.7994728, 2023. a
Kirch, C. and Politis, D. N.: TFT-bootstrap: Resampling time series in the
frequency domain to obtain replicates in the time domain, Ann.
Stat., 39, 1427–1470, https://doi.org/10.1214/10-AOS868, 2011. a, b
Klavans, J. M., Clement, A. C., and Cane, M. A.: Variable External Forcing
Obscures the Weak Relationship between the NAO and North Atlantic
Multidecadal SST Variability, J. Clim., 32, 3847–3864,
https://doi.org/10.1175/JCLI-D-18-0409.1, 2019. a
Lees, J. M. and Park, J.: Multiple-taper spectral analysis: A stand-alone
C-subroutine, Comput. Geosci., 21, 199–236,
https://doi.org/10.1016/0098-3004(94)00067-5, 1995. a, b, c
Lyu, K., Zhang, X., and Church, J. A.: Regional Dynamic Sea Level
Simulated in the CMIP5 and CMIP6 Models: Mean Biases, Future
Projections, and Their Linkages, J. Clim., 33, 6377–6398,
https://doi.org/10.1175/JCLI-D-19-1029.1,
2020. a
Mangini, F., Chafik, L., Madonna, E., Li, C., Bertino, L., and Nilsen, J.
E. Ã.: The relationship between the eddy-driven jet stream and northern
European sea level variability, Tellus A, 73, 1–15, https://doi.org/10.1080/16000870.2021.1886419,
2021. a
Mastrandrea, M. D., Mach, K. J., Plattner, G.-K., Edenhofer, O., Stocker,
T. F., Field, C. B., Ebi, K. L., and Matschoss, P. R.: The IPCC AR5
guidance note on consistent treatment of uncertainties: a common approach
across the working groups, Climatic Change, 108, 675–691,
https://doi.org/10.1007/s10584-011-0178-6, 2011. a
Okumura, Y., Xie, S.-P., Numaguti, A., and Tanimoto, Y.: Tropical Atlantic
Air-Sea Interaction and Its Influence on the NAO, Geophys. Res.
Lett., 28, 1507–1510, https://doi.org/10.1029/2000GL012565, 2001. a
Peings, Y. and Magnusdottir, G.: Wintertime Atmospheric Response to
Atlantic Multidecadal Variability: Effect of Stratospheric Representation
and Ocean-Atmosphere Coupling, Clim. Dynam., 47, 1029–1047,
https://doi.org/10.1007/s00382-015-2887-4, 2016. a
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V.,
Rowell, D. P., Kent, E. C., and Kaplan, A.: Global analyses of sea surface
temperature, sea ice, and night marine air temperature since the late
nineteenth century, J. Geophys. Res.-Atmos., 108, D14,
https://doi.org/10.1029/2002JD002670, 2003. a, b
Seabold, S. and Perktold, J.: statsmodels: Econometric and statistical
modeling with python, in: 9th Python in Science Conference, 28 June–3 July, Austin, Texas, 92–96, ISBN: 978-1-4583-4619-3, https://doi.org/10.25080/Majora-92bf1922-011,
2010.
Slangen, A. B. A., Katsman, C. A., van de Wal, R. S. W., Vermeersen, L. L. A.,
and Riva, R. E. M.: Towards regional projections of twenty-first century
sea-level change based on IPCC SRES scenarios, Clim. Dynam., 38,
1191–1209, https://doi.org/10.1007/s00382-011-1057-6, 2012. a, b
Slivinski, L. C., Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Giese,
B. S., McColl, C., Allan, R., Yin, X., Vose, R., Titchner, H., Kennedy, J.,
Spencer, L. J., Ashcroft, L., Brönnimann, S., Brunet, M., Camuffo, D.,
Cornes, R., Cram, T. A., Crouthamel, R., DomÃnguez-Castro, F., Freeman,
J. E., Gergis, J., Hawkins, E., Jones, P. D., Jourdain, S., Kaplan, A.,
Kubota, H., Blancq, F. L., Lee, T.-C., Lorrey, A., Luterbacher, J., Maugeri,
M., Mock, C. J., Moore, G. K., Przybylak, R., Pudmenzky, C., Reason, C.,
Slonosky, V. C., Smith, C. A., Tinz, B., Trewin, B., Valente, M. A., Wang,
X. L., Wilkinson, C., Wood, K., and Wyszyński, P.: Towards a more reliable
historical reanalysis: Improvements for version 3 of the Twentieth
Century Reanalysis system, Q. J. Roy. Meteorol.
Soc., 145, 2876–2908, https://doi.org/10.1002/qj.3598, 2019. a, b
Sweet, W., Hamlington, B., Kopp, R., and Weaver, C.: Global and Regional
Sea Level Rise Scenarios for the United States: Up-dated
Mean Projections and Extreme Water Level Probabilities Along
US Coastlines, NOAA Technical Report NOS 01, National
Oceanic and Atmospheric Administration, National Ocean Service, Silver
Spring, MD, 111 pp.,
https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf (last access: 1 June 2023),
2022. a
Vries, H. d., Katsman, C., and Drijfhout, S.: Constructing scenarios of
regional sea level change using global temperature pathways, Environ.
Res. Lett., 9, 115007, https://doi.org/10.1088/1748-9326/9/11/115007, 2014. a, b
Wahl, T., Haigh, I., Woodworth, P., Albrecht, F., Dillingh, D., Jensen, J.,
Nicholls, R., Weisse, R., and Wöppelmann, G.: Observed mean sea level
changes around the North Sea coastline from 1800 to present,
Earth-Sci. Rev., 124, 51–67, https://doi.org/10.1016/j.earscirev.2013.05.003,
2013. a, b
Walker, J. S., Kopp, R. E., Little, C. M., and Horton, B. P.: Timing of
emergence of modern rates of sea-level rise by 1863, Nat. Commun.,
13, 966, https://doi.org/10.1038/s41467-022-28564-6, 2022. a
Wood, S. N.: Inference and computation with generalized additive models and
their extensions, TEST, 29, 307–339, https://doi.org/10.1007/s11749-020-00711-5, 2020. a, b, c, d
Woodworth, P. L.: A Note on the Nodal Tide in Sea Level Records,
J. Coast. Res., 28, 316–323,
https://doi.org/10.2112/JCOASTRES-D-11A-00023.1, 2012. a
Woodworth, P. L.: Differences between mean tide level and mean sea level,
J. Geodesy, 91, 69–90, https://doi.org/10.1007/s00190-016-0938-1, 2017. a
Woollings, T., Franzke, C., Hodson, D. L. R., Dong, B., Barnes, E. A., Raible,
C. C., and Pinto, J. G.: Contrasting Interannual and Multidecadal NAO
Variability, Clim. Dynam., 45, 539–556, https://doi.org/10.1007/s00382-014-2237-y,
2015. a
Short summary
Using tide gauge observations, we show that the acceleration of sea-level rise (SLR) along the coast of the Netherlands started in the 1960s but was masked by wind field and nodal-tide variations. This finding aligns with global SLR observations and expectations based on a physical understanding of SLR related to global warming.
Using tide gauge observations, we show that the acceleration of sea-level rise (SLR) along the...
