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122 results for “Sea Level Rise”
The impact of Natural Variability on Regional Sea-Level Rise During the Satellite-Altimetry Era
<p>We share the datasets for each figure. Anyone can use the datasets under proper citation.</p>
Predicting changes in molluscan spatial distributions in mangrove forests in response to sea-level rise
<p class="MsoNormal"><span>Molluscs are an important component of the mangrove ecosystem, and the vertical distributions of molluscan species in this ecosystem are primarily dictated by tidal inundation. Thus, sea-level rise (SLR) may have profound effects on mangrove mollusc communities. Here, we used dynamic empirical models, based on measurements of surface elevation change, sediment accretion, and molluscan zonation patterns, to predict changes in molluscan spatial distributions in response to different sea-level rise rates in the mangrove forests of Zhenzhu Bay (Guangxi, China). The change in surface elevation was 4.76–9.61 mm yr</span><sup><span>−</span></sup><sup><span>1</span></sup><span> during the study period (2016–2020), and the magnitude of surface-elevation change decreased exponentially as original surface elevation increased. Based on our model results, we predicted that mangrove molluscs might successfully adapt to a low rate of SLR (2.00–4.57 mm yr</span><sup><span>−</span></sup><sup><span>1</span></sup><span>) by 2100, with molluscs moving seaward and those in the lower intertidal zones expanding into newly available zones. However, as SLR rate increased (4.57–8.14 mm yr</span><sup><span>−</span></sup><sup><span>1</span></sup><span>), our models predicted that surface elevations would decrease beginning in the high intertidal zones and gradually spread to the low intertidal zones. Finally, at high rates of SLR (8.14–16.00 mm yr</span><sup><span>−</span></sup><sup><span>1</span></sup><span>), surface elevations were predicted to decrease across the elevation gradient, with molluscs moving landward and species in higher intertidal zones blocked by landward barriers. Tidal inundation and the consequent increases in interspecific competition and predation pressure were predicted to threaten the survival of many molluscan groups in higher intertidal zones, especially arboreal and infaunal molluscs at the landward edge of the mangroves, resulting in a substantial reduction in the abundance of original species on the landward edge. Thus, future efforts to conserve mangrove floral and faunal diversity should prioritize species restricted to landward mangrove areas and protect potential species habitats.</span></p>
Dataset for Supplementary Figures of "The macroeconomic effects of adapting to high-end sea-level rise via protection and migration"
<p>This dataset served as input data for the analysis as presented in the article "The macroeconomic effects of adapting to high-end sea-level rise via protection and migration" and allows to reproduce Supplementary Figures 3-26.</p>
Increasing methane emissions from natural land ecosystems due to sea-level rise
<p>The file contains the datasets (data, scripts and GIS data) presented in "Increasing methane emissions from natural land ecosystems due to sea-level rise"</p>
Sea level rise will drastically change estuaries: A Columbia River perspective
<p>This repository consists of two gzip compressed tar files: 1) SLCModelRuns.tar.gz containing model source code and model run data used for generating the data for the referenced paper and 2) SLCPaperFigures.tar.gz with the scripts and data used to generate the figures.</p>
Data from: Sea-level rise causes feeding habitat loss for migratory shorebirds in remote coastal wetlands of Brazilian Amazon.
<p>Data supporting the results in "Sea-level rise causes feeding habitat loss for migratory shorebirds in remote coastal wetlands of Brazilian Amazon."</p> <p> </p>
Economic evaluation of sea-level rise adaptation strongly influenced by hydrodynamic feedbacks: Dataset 2
<p>Coastal communities rely on levees and seawalls as critical protection against sea-level rise; in the U.S. alone, $300 billion in shoreline armoring costs are forecast by 2100. But despite the local flood risk reduction benefits, these structures can exacerbate flooding and associated damages along other parts of the shoreline—particularly in coastal bays and estuaries, where nearly 500 million people globally are at risk from sea-level rise. The magnitude and spatial distribution of the economic impact of this dynamic, however, are poorly understood. Here we combine hydrodynamic and economic models to assess the extent of both local and regional flooding and damages expected from a range of shoreline protection and sea-level rise scenarios in San Francisco Bay, California. We find that protection of individual shoreline segments (5-75 km) can increase flooding in other areas by as much as 36 million cubic meters and damages by $723 million for a single flood event, and in some cases can even cause regional flood damages that exceed the local damages prevented from protection. We also demonstrate that strategic flooding of certain shoreline segments, such as those with gradually sloping baylands and space for water storage, can help alleviate flooding and damages along other stretches of the coastline. By matching the scale of the economic assessment to the scale of the threat, we reveal the previously uncounted costs associated with uncoordinated adaptation actions and demonstrate that a regional planning perspective is essential for reducing shared risk and wisely spending adaptation resources in coastal bays.</p> <p>This dataset is associated with a github repository https://github.com/rmgriffin/OLU-flood-externalities</p> <p>This dataset is part of a two record data repository associated with the paper "Economic evaluation of sea-level rise adaptation strongly influenced by hydrodynamic feedbacks." This is part two.</p>
Economic evaluation of sea-level rise adaptation strongly influenced by hydrodynamic feedbacks: Dataset 1
<p>Coastal communities rely on levees and seawalls as critical protection against sea-level rise; in the U.S. alone, $300 billion in shoreline armoring costs are forecast by 2100. But despite the local flood risk reduction benefits, these structures can exacerbate flooding and associated damages along other parts of the shoreline—particularly in coastal bays and estuaries, where nearly 500 million people globally are at risk from sea-level rise. The magnitude and spatial distribution of the economic impact of this dynamic, however, are poorly understood. Here we combine hydrodynamic and economic models to assess the extent of both local and regional flooding and damages expected from a range of shoreline protection and sea-level rise scenarios in San Francisco Bay, California. We find that protection of individual shoreline segments (5-75 km) can increase flooding in other areas by as much as 36 million cubic meters and damages by $723 million for a single flood event, and in some cases can even cause regional flood damages that exceed the local damages prevented from protection. We also demonstrate that strategic flooding of certain shoreline segments, such as those with gradually sloping baylands and space for water storage, can help alleviate flooding and damages along other stretches of the coastline. By matching the scale of the economic assessment to the scale of the threat, we reveal the previously uncounted costs associated with uncoordinated adaptation actions and demonstrate that a regional planning perspective is essential for reducing shared risk and wisely spending adaptation resources in coastal bays.</p> <p>This dataset is associated with a github repository https://github.com/rmgriffin/OLU-flood-externalities</p> <p>This dataset is part of a two record data repository associated with the paper "Economic evaluation of sea-level rise adaptation strongly influenced by hydrodynamic feedbacks." This is part one.</p>
Data from: Effect of subshelf melt variability on sea level rise contribution from Thwaites Glacier, Antarctica
<p>This archive includes output from the ice sheet model MALI used in the paper:<br> Effect of subshelf melt variability on sea level rise contribution from<br> Thwaites Glacier, Antarctica by Matthew Hoffman, et al.<br> submitted to Journal of Geophysical Research-Earth Surface in May 2019.</p> <p>The contents of this archive are:</p> <p>* control_run: annual output file for the control run</p> <p>* main_ensembles: global statistics files for the 72 runs making up the main<br> ensembles described in the paper and shown in Figures 4-6.</p> <p>* scaled_melt_ensemble: global statistics files for the scaled-melt ensemble<br> shown in Figures 9 and 10.</p> <p>* linear_perturbation_runs: global statistics files for each of the linear<br> perturbation runs used in Figure 11.</p> <p>The model code used to to generate the output and the scripts used to process<br> the data are available here:<br> https://github.com/matthewhoffman/MPAS-Model<br> or<br> https://github.com/MPAS-Dev/MPAS-Model<br> in the commit 93359c339b6d06726f8e3fbbfadc19337c20c0c7</p> <p>The processing scripts are in the directory:<br> testing_and_setup/compass/landice/Thwaites_variability</p>
Data and code for: "Sea level rise from West Antarctic mass loss significantly modified by large snowfall anomalies"
<p>Data and code required to reproduce results in paper: "Sea level rise from West Antarctic mass loss significantly modified by large snowfall anomalies"</p>
Baltic Sea flood maps under the influence of sea-level rise, dike height increases and managed realignment
<p>The provided data was produced as part of the Ecas-Baltic project (2020 - 2023). The project is funded by the Federal Ministry of Education and Research in Germany (BMBF, funding code 03F0860H).</p><p>The dataset contains information supporting the conclusions presented in the following publication (the final, revised version of the article will be accessible via the journal webpage):</p><p>Kiesel, J., Honsel, L.E., Lorenz, M., Gräwe, U., and Vafeidis, A. T.: Raising dikes and managed realignment may be insufficient for maintaining current flood risk along the German Baltic Sea coast, <a href="https://www.nature.com/commsenv/">Communications Earth & Environment</a>, accepted for publication, 2023.</p><p> </p><p>The dataset contains:</p><p>- the flood maps containing both the maximum flood extent and maximum inundation depth at every grid cell of the coastal inundation model. The flood maps cover two sea-level rise (1 m and 1.5 m) and three adaptation scenarios (state dikes plus 1.5 m, all dikes plus 1.5 m and potential managed realignment sites including state dikes plus 1.5 m)</p><p>- the potential for physically plausible managed realignment sites along the German Baltic Sea coast</p><p>- a readme file containing further information on the datasets and related data and publications</p><p> </p><p>For methodological details we refer the reader to the publication cited above and the publication presenting the modelling setup (Kiesel et al., 2023: https://doi.org/10.5194/nhess-23-2961-2023). The previously mentioned article provides inundation maps representing the current state of adaptation in terms of dike lines and associated elevations (https://doi.org/10.5281/zenodo.7886455). The code to detect the potential physically plausible managed realignment sites is publically available from https://gitlab.com/larsenno/sumare.</p>
Data: Phenotypic trait differences between Iris pseudacorus in native and introduced ranges support greater capacity of invasive populations to withstand sea level rise
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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
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Economic evaluation of sea-level rise adaptation strongly influenced by hydrodynamic feedbacks: Dataset 1
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Are Tidal Salt Marshes Exposed to Nutrient Pollution more Vulnerable to Sea Level Rise?
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Data from: Testing sea-level rise impacts in tidal wetlands: a novel in situ approach
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Economic evaluation of sea-level rise adaptation strongly influenced by hydrodynamic feedbacks: Dataset 2
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Local sea-level rise caused by climate change in the northwest Pacific marginal seas using dynamical downscaling
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Predicting changes in molluscan spatial distributions in mangrove forests in response to sea-level rise
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Data from: Early stages of sea-level rise lead to decreased salt marsh plant diversity through stronger competition in Mediterranean-climate marshes
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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)
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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.