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39 results for “Storm surge”
Storm Surge Dataset
<p>This is the dataset used in a paper of "Model of Storm Surge Maximum Water Level Increase in a Coastal Area Using Ensemble Machine Learning and Explicable Algorithm" </p>
Replication files for the publication "The Global Long-Term Effects of Storm Surge Flooding on Human Settlements in Coastal Areas"
<p>This repisority contains code and data to replicate the main results of the publication Kunze & Strobl (forthcoming) "The Global Long-Term Effects of Storm Surge Flooding on Human Settlements in Coastal Areas".</p>
Number of Joint Precipitation and either Wind or Storm Surge Extremes Based on CMIP6 Simulations
<p>This data accompanies the manuscript ‘Projecting Changes in the Drivers of Compound Flooding in Europe Using CMIP6 Models’, Hermans et al. (2024). The dataset consists of the number of joint wind speed & precipitation or storm surge &precipitation extremes derived from CMIP6 models, for different time periods in the 20th and 21st centuries. </p> <p>The code used to produce this dataset can be accessed here: https://github.com/Timh37/CMIP6cex. </p> <p><em>For the production of this dataset, we acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid </em><em>Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF.580. We also acknowledge the computing and storage resources provided by the ‘NSF Science and Technology Center (STC) Learning the Earth with Artificial intelligence and Physics (LEAP)‘ (Award #2019625).</em></p>
Data for 'Storm Surge Modeling as an Application of Local Time-stepping in MPAS-Ocean'
<p>Data for 'Storm Surge Modeling as an Application of Local Time-stepping in MPAS-Ocean', submitted to the Journal for Advances in Modeling Earth Systems (JAMES).</p> <p>The repository consists of three main parts:</p> <ol> <li>The `run` directory contains a pre-built run directory as an example.</li> <li>The `scripts` directory contains the scripts that were used to generate important plots.</li> <li>The `data` directory contains model output from performance and accuracy experiments.</li> </ol>
Tide and TWL Stations for "Understanding Nonlinear Interactions Between Barotropic and Baroclinic Processes in a Global Tide and Storm Surge Model"
<p>This is a dataset that contains the tidal and total water level stations used in my dissertation.</p>
A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas
<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>
A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas
<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>
Results of the study "Uncertainties and discrepancies in the representation of recent storm surges in a non-tidal semi-enclosed basin: a hind-cast ensemble for the Baltic Sea" in Ocean Science
<p>This archive stores the main results, the main scripts, and the model code of the study:</p> <p>Lorenz, M. and Gräwe, U.: Uncertainties and discrepancies in the representation of recent storm surges in a non-tidal semi-enclosed basin: a hind-cast ensemble for the Baltic Sea, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-820, 2023.</p>
Data from: Purple pitcher plant (Sarracenia rosea) dieback and partial community disassembly following experimental storm surge in a coastal pitcher plant bog
Open the record for dataset details and reuse information.
Modeling files for storm surge induced salinization at marshes
Open the record for dataset details and reuse information.
Fig 3 from: Gardiner T, Seago B (2019) The tide is high, but it's holding on: response of the grey bush-cricket, Platycleis albopunctata, to a storm surge. Journal of Orthoptera Research 28(2): 125-128. https://doi.org/10.3897/jor.28.34092
Fig 3 The mean number of stridulating males recorded on the Colne Point nature reserve and St. Osyth naturists' beach pre- and post-surge.
Fig 4 from: Gardiner T, Seago B (2019) The tide is high, but it's holding on: response of the grey bush-cricket, Platycleis albopunctata, to a storm surge. Journal of Orthoptera Research 28(2): 125-128. https://doi.org/10.3897/jor.28.34092
Fig 4 The mean number of stridulating males recorded on the fore and back dunes pre- and post-surge.
Datasets for "Groundwater flooding on atolls caused by storm surges: effects of the dual-aquifer configuration"
<p>These datasets include the input files for HydroGeoSphere used in this study.</p>
Typhoon storm surge in the southeast Chinese mainland modulated by ENSO
<p>AMTSS.xlsx<br> Description:The observed annual maximum typhoon storm surge (AMTSS) at 23 tide-gauge stations located at the typhoon-prone coastal areas of Chinese mainland<br> Correlation coefficients.xlsx<br> Description:Correlation coefficients between the annual maximum storm surges (AMTSSs) and Niño-3.4 index at 23 tide-gauge stations located at the typhoon-prone coastal areas of Chinese mainland<br> Typhoon storm surge in 2015.xlsx<br> Description:Observed maximum storm surge induced by the typhoons of (a) Kujira, (b) Chan-hom, (c) Linfa, (d) Soudelor, (e) Dujuan and (f) Mujigae in 2015 at 23 tide-gauge stations located at the typhoon-prone coastal areas of Chinese mainland</p>
Fig 5 from: Gardiner T, Seago B (2019) The tide is high, but it's holding on: response of the grey bush-cricket, Platycleis albopunctata, to a storm surge. Journal of Orthoptera Research 28(2): 125-128. https://doi.org/10.3897/jor.28.34092
Fig 5 Mean ground cover of shingle and Ammophila arenaria on the fore and back dunes post-surge.
Fig 2 from: Gardiner T, Seago B (2019) The tide is high, but it's holding on: response of the grey bush-cricket, Platycleis albopunctata, to a storm surge. Journal of Orthoptera Research 28(2): 125-128. https://doi.org/10.3897/jor.28.34092
Fig 2 Shingle deposition on the back dunes. Photo credit Tim Gardiner.
Fig 1 from: Gardiner T, Seago B (2019) The tide is high, but it's holding on: response of the grey bush-cricket, Platycleis albopunctata, to a storm surge. Journal of Orthoptera Research 28(2): 125-128. https://doi.org/10.3897/jor.28.34092
Fig 1 Shingle deposition on the fore dunes. Photo credit Tim Gardiner.
Modeling files for storm surge induced salinization at sparse marshes
Open the record for dataset details and reuse information.
Advancing Storm Surge Modelling: A High-performance Local-Inertial Approach on Unstructured Triangular Grids
<p>The powerful tropical cyclones generate various destructive forces, including storm surges, heavy winds, and inland flooding, especially in coastal areas. The low-lying coastal areas are particularly susceptible to the devastating effects of coastal flooding caused by storm surges. The mathematical models are often employed to forecast cyclonic wind speed, surge height and coastal inundation to facilitate effective planning and evacuation measures, especially for real-time events. These models provide valuable insights into the potential impacts and help authorities make informed decisions to mitigate the risks posed by storm surges. Most of the existing models mainly suffer from computational cost and numerical instability. In this context, a mathematical model called IROMS-iS2D (Integrated River Ocean Modelling System – inertial Surge two-Dimensional) is developed based on the solution of the local-inertial shallow water equations to significantly improve computational time without encountering numerical instability problems. The performance of the developed model is thoroughly investigated by comparing wind speed and storm surges with observed data and reported results from three historical cyclones along the Bay of Bengal region. Then, the application of the model is demonstrated by simulating the Sidr cyclone and probable storm surges along the Tamil Nadu coast. The IROPMS-iS2D model is found to be significantly faster than the 2D models. Overall, it is found that by leveraging mathematical models like IROMS-iS2D, authorities can enhance their preparedness and response strategies, ultimately minimizing the potential damage and loss of life caused by these hazardous weather phenomena.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.