storm-surge
Here are 16 public repositories matching this topic...
This open-source research application provides an application that can be used to predict the response of communities subjected to water-borne hazard events like tsunami and storm surge.
-
Updated
May 16, 2024 - C++
ParaTC: Python functions and classes for generating parametric tropical cyclone models.
-
Updated
Apr 26, 2024 - Python
Collection of Python modules for pre- and postprocessing XBeach models and output files
-
Updated
Apr 24, 2024 - Python
Statistical extreme value analysis of storm surges with Python
-
Updated
Jan 3, 2024 - Python
Contributions of Storm Drivers to Compound Flooding in New York City: Insights from Coupled Modeling and Machine Learning Approaches
-
Updated
Dec 24, 2023 - HTML
Storm Surge Prediction Using Different Machine Learning Methods
-
Updated
Nov 5, 2023 - Jupyter Notebook
Extension of GeoClaw storm surge simulation
-
Updated
Jun 27, 2023 - Fortran
This repository will contain all the updated information in the shared project between GeoOcean-MetService
-
Updated
Jan 9, 2023 - Jupyter Notebook
This is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the files are IPython Notebooks. See the README.md files in each directory for links to read-only renderings of the notebooks.
-
Updated
Apr 25, 2022 - Jupyter Notebook
Web-Map + Database - Global Storm Surge Reconstructions (GSSR)
-
Updated
Apr 6, 2022 - JavaScript
A collection of scripts used for modeling global daily maximum surges
-
Updated
Apr 5, 2022 - Python
7-member ensemble-based, real-time, operational coastal circulation, wind and wave forecast system
-
Updated
Apr 5, 2021 - Fortran
MATLAB package for developing and analyzing storm surge climatology (SSC) indicator.
-
Updated
Feb 5, 2021 - MATLAB
Soontiens, N., Allen, S., Latornell, D., Le Souef, K., Machuca, I., Paquin, J.-P., Lu, Y., Thompson, K., Korabel, V. (2015). Storm surges in the Strait of Georgia simulated with a regional model. Atmosphere-Ocean, 54: 1-21 (2016).
-
Updated
Apr 18, 2020 - Jupyter Notebook
A pipeline for estimating and characterizing uncertainty in coastal storm surge levels
-
Updated
Feb 13, 2019 - Python
Improve this page
Add a description, image, and links to the storm-surge topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the storm-surge topic, visit your repo's landing page and select "manage topics."