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122 results for “sea level rise”
Localized uplift, widespread subsidence and implications for sea level rise in the NYC Metropolitan Area
<p>Regional relative sea level rise is exacerbating flooding hazards in the coastal zone. In addition to changes in the ocean, vertical land motion (VLM) is a driver of spatial variation in sea-level change that can either diminish or enhance flood risk. Here we apply state-of-the-art Interferometric Synthetic Aperture Radar (InSAR) and global navigation satellite system (GNSS) time-series analysis to estimate velocities and corresponding uncertainties at 30 m resolution in the New York City Metropolitan Area, revealing VLM with unprecedented detail. We find broad subsidence of 1.6 mm/yr consistent with glacial isostatic adjustment to the melting of the former ice sheets, and previously undocumented hotspots of both subsidence and uplift that can be physically explained in some locations. Our results inform ongoing efforts to adapt to sea-level rise and reveal points of VLM that motivate both future scientific investigations into surface geology and assessments of engineering projects.</p>
Future sea level rise in northwest Mexico is projected to decrease the distribution and habitat quality of the endangered Calidris canutus roselaari (Red Knot)
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Warming stimulates mangrove carbon sequestration in rising sea-level at their northern limit: an in situ simulation
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Localized uplift, widespread subsidence and implications for sea level rise in the NYC Metropolitan Area
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Data from: Rising sea level reduces carbon sequestration, CO<sub>2</sub>, and N<sub>2</sub>O flux while promoting CH<sub>4</sub> flux from Mangroves
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Data from: Can restoring tidal wetlands reduce nuisance flooding of coasts under future sea-level rise?
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Data and code for: Sea level rise causes shorebird population collapse before habitat drowns
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Impacts of bed topography resolution on sea-level rise projections from coupled subglacial hydrology and ice dynamics for Thwaites Glacier, Antarctica
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Data from: Surface elevation trends in natural and restored coastal forested wetlands reveal vulnerability to saltwater intrusion and sea level rise
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Sea level rise, groundwater rise, and contaminated sites in the San Francisco Bay Area, and Superfund Sites in the contiguous United States
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Datatset from "Coastal flooding in the Maldives induced by mean sea-level rise and wind-waves: from global to local coastal modelling"
<p>Resulting downscaled wave fields from the WaveWatch III simulations for the four main wave directions identified and six return periods (10, 20, 50, 100, 500, and 1000 years).</p>
Using the history of the Antarctic Ice Sheet to reduce uncertainties in projections of global sea level rise
<p>Ice sheet models are the most descriptive tools available to simulate the future evolution of the Antarctic Ice Sheet (AIS), including its contribution towards changes in global sea level. However, our knowledge of the dynamics of the coupled ice-ocean-lithosphere system is inevitably limited, in part due to a lack of observations. Furthermore, to build computationally efficient models that can be run for multiple millennia, it is necessary to use simplified descriptions of ice dynamics. Ice sheet modelling is therefore a poorly constrained exercise. The past evolution of the AIS provides an opportunity to improve the description of physical processes within ice sheet models and, therefore, to constrain our understanding of the role of the AIS in driving changes in global sea level.</p> <p>We use the Parallel Ice Sheet Model (PISM) to demonstrate how past changes can be used to improve our ability to predict the future evolution of the AIS. A large perturbed-physics ensemble is generated, spanning uncertainty in the parameterisations of key physical processes within the model. A Latin hypercube approach is used to optimally sample the range of uncertainty in parameter values. This perturbed-physics ensemble is used to simulate the evolution of the AIS from the Last Glacial Maximum (21,000 years ago) until 5,000 years into the future. Records of past ice sheet thickness and extent are then used to determine which ensemble members are the most realistic. This allows us to use the known history of the AIS to constrain our understanding of its past contribution towards changes in global sea level. Critically, it also allows us to determine which ensemble members are most likely to generate realistic projections of the future evolution of the AIS. This enables us to use past changes in the AIS to reduce uncertainty in projections of future sea level rise.</p>
Reducing uncertainties in projections of global sea level rise
<p>Ice sheet models are the most descriptive tools available to simulate the future evolution of the Antarctic Ice Sheet (AIS), including its contribution towards changes in global sea level. However, our knowledge of the dynamics of the coupled ice-ocean- lithosphere system is inevitably limited, in part due to a lack of observations. Furthermore, to build computationally efficient models that can be run for multiple millennia, it is necessary to use simplified descriptions of ice dynamics. Ice sheet modelling is therefore a poorly constrained exercise. The past evolution of the AIS provides an opportunity to improve the description of physical processes within ice sheet models and, therefore, to constrain our understanding of the role of the AIS in driving changes in global sea level.<br> <br> We use the Parallel Ice Sheet Model (PISM) to demonstrate how past changes can be used to improve our ability to predict the future evolution of the AIS. A large perturbed-physics ensemble is generated, spanning uncertainty in the parameterisations of key physical processes within the model. A Latin hypercube approach is used to optimally sample the range of uncertainty in parameter values. This perturbed-physics ensemble is used to simulate the evolution of the AIS from the Last Glacial Maximum (21,000 years ago) until 5,000 years into the future. Records of past ice sheet thickness and extent are then used to determine which ensemble members are the most realistic. This allows us to use the known history of the AIS to constrain our understanding of its past contribution towards changes in global sea level. Critically, it also allows us to determine which ensemble members are most likely to generate realistic projections of the future evolution of the AIS. This enables us to use past changes in the AIS to reduce uncertainty in projections of future sea level rise.</p>
Refining estimates of the commitment to global sea level rise over the next 500 years
<p>Within Australia alone, more than A$226 billion of coastal infrastructure is vulnerable to the anticipated rise in sea level by the end of the century. The IPCC Fifth Assessment Report concludes that the likely increase in global mean sea level during the 21st century ranges from 26-55 centimetres (under the low-end RCP2.6 climate scenario) to 45-82 centimetres (under the high-end RCP8.5 climate scenario). However, these projections do not take into account the potential for collapse of the marine-based sectors of the Antarctic Ice Sheet.</p> <p>Recent evidence has indicated that the IPCC projections may be under-estimates, with sea level increases of up to 2.5 metres possible by the end of the 21st century. Modelling studies have also demonstrated the potential for the Antarctic Ice Sheet to undergo irreversible collapse during the coming centuries. The most extreme prediction is that, under the RCP8.5 scenario, Antarctica alone could contribute 15.65±2.00 metres to global sea level by the year 2500.</p> <p>Here, we combine climate modelling and ice sheet modelling to explore the evolution of the Antarctic Ice Sheet over the next 500 years under a range of climate scenarios. We run the models many times to account for gaps in our understanding of ice sheet dynamics, using our knowledge of past changes in the Antarctic Ice Sheet to identify the configurations that are plausible. This allows us to generate robust projections of the Antarctic contribution to global sea level from the present to the year 2500, complete with quantified confidence intervals.</p> <p>We conclude that the sea level contribution during the 21st century will be modest, consistent with the IPCC Fifth Assessment Report, but that melting of the Antarctic Ice Sheet will accelerate thereafter. We also conclude that previous studies have underestimated the range of uncertainty in projections of future global sea level rise.</p>
Are Tidal Salt Marshes Exposed to Nutrient Pollution more Vulnerable to Sea Level Rise?
<p>Over the past four decades, Long Island, NY, USA, has lost coastal wetlands at a rate of 4% per decade due to submergence. In this study, we examined relationships between the rate of tidal salt marsh loss and environmental factors, including marsh elevation, tidal range, and wastewater exposure through analysis of stable isotope ratios of marsh soils and biota. Our goal was to identify factors that increase vulnerability of marshes to sea level rise, with a specific emphasis on the potential role of poor water quality in hastening marsh loss. Our results suggest that wastewater exposure may accelerate loss of intertidal marsh, but does not negatively impact high tidal marsh resilience to sea level rise. And while marsh elevation and tidal range were statistically significant predictors of marsh loss, they similarly displayed opposite relationships among marsh zones. This study suggests that different functional zones of coastal salt marshes may not respond similarly to global change factors, and that elevation may be an important factor mediating eutrophication effects to coastal salt marshes.</p>
Data from: Dynamics of marsh-mangrove ecotone since the mid-Holocene: a palynological study of mangrove encroachment and sea level rise in the Shark River Estuary, Florida
Sea level rise and the associated inland shift of the marsh-mangrove ecotone in south Florida have raised many scientific and management concerns in recent years. Holocene paleoecological records can provide an important baseline to shed light on the long-term dynamics of vegetation changes across this ecotone in the past, which is needed to predict the future. In this study, we present palynological, X-ray fluorescence, and loss-on ignition data from four sedimentary cores recovered from a 20-km marine-to-freshwater transect along the Shark River Estuary, southwest Everglades, to document the patterns and processes of coastal vegetation changes in response to sea level rise since the mid-Holocene. Our record indicates that freshwater marsh progressively replaced marl prairies at the Shark River Estuary between 5700 and 4400 cal yr BP. As marine transgression continued, marine influence reached the threshold necessary for mangroves to establish at the current mouth of the Shark River Slough at 3800 cal yr BP. During the next 3000 years, although sea level rise in the Western North Atlantic slowed down to 0.4 mm/yr, a spatial and temporal gradient was evident as the marsh-mangrove ecotone shifted inland by 20 km from 3800 to 800 cal yr BP, accompanied by a gradual landward replacement of freshwater marsh by mangrove forest. If sea level continues to rise at 2.33 mm/yr in the 21st century in south Florida, it is possible that marine influence will reach the threshold for mangroves to establish in the central Everglades, and we could expect a much more aggressive mangrove encroachment toward the northern and interior parts of south Florida in the next few centuries.
Causes and multiyear predictability of the rapid acceleration of U.S. Southeast Sea level rise after 2010
<p><strong>Authors: </strong>Liping Zhang<sup>1*,2</sup>, Thomas L. Delworth<sup>1</sup>, Xiaosong Yang<sup>1</sup>, Fanrogn Zeng<sup>1</sup>, Qinxue Gu<sup>1,3</sup> and Shouwei Li<sup>1,3</sup></p> <p> <sup>1</sup>NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA</p> <p><sup> 2</sup>University Corporation for Atmospheric Research, Boulder, Colorado, USA</p> <p><sup> 3</sup>The Program in Atmospheric and oceanic Sciences, Princeton University, Princeton, NJ, USA</p> <p> </p> <p> </p> <p>Replication of paper entitled <strong>"Causes and multiyear predictability of the rapid acceleration of U.S. Southeast Sea level rise after 2010"</strong>.</p> <p>This file contains datasets used to replicate figures in a paper published in npj Climate and Atmospheric Science. These datasets are in .mat format, which can be easily read by Matlab software using load command.</p>
Salt Water Exposure Exacerbates the Negative Response of Phragmites australis Haplotypes to Sea-Level Rise
<p>Dataset associated with the 2024 publication in the <em>Plants</em> journal dealing with <em>Phragmites australis </em>response to abiotic factors associated with rising sea levels. </p>
Elevation projections for the Mekong delta (Vietnam) under sedimentation strategies, subsidence, compaction, and sea-level rise
<p>Modelled elevation projections for the Mekong delta (Vietnam) to 2050 under scenarios of fluvial sedimentation, organic accumulation, anthropogenic-accelerated subsidence, natural compaction, and global sea-level rise. Data is in meters above sea level and georeferenced (WGS84 UTM zone 48N).<br> For methodology and detailed description of the data, please see Dunn and Minderhoud (2021) DOI to follow, in which part of the dataset is presented in Figure 6.</p>
Results to "Macroeconomic Implications of High-End Sea Level Rise and Coastal Migration: A Global Assessment"
<p>All results file for the manuscript "Macroeconomic Implications of High-End Sea Level Rise and Coastal Migration: A Global Assessment"</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.