Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
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Updated
Apr 19, 2023 - Python
Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
Ice-sheet and Sea-level System Model (ISSM) source code
This repo uses DEM data to produce a simulation (gif) visualizing which areas will get drowned as sea-level rises.
Jupyter Notebooks Tutorials on Gaussian Processes
A Collection of Flood Hazard Layers for New York City.
Storm Surge Prediction Using Different Machine Learning Methods
Python projects made for the freeCodeCamp Data Analysis with Python Certification.
coastwards.org - a global citizen science project to help scientists study the risks of sea-level rise
Flood risk and house price tipping points for an archetypical coastal city under many sea level rise scenarios and dynamic adaptive policies.
Code supporting "Could the Last Interglacial Constrain Projections of Future Antarctic Ice Mass Loss and Sea-level Rise?" by Gilford et al. (2020, JGR-Earth Surface)
This code supports Strauss et al (2020): "Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change"
Python Scripts that analyze and plot the attributes of oceanic and atmospheric data, intentionally collected from the Weddell Sea.
This Repository consists of all the Data Analysis Projects and Tasks for the Data Analytics with Python -- Free Code Camp
The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".
Scripts to simulate coastal flood hazard at the global scale based on near-shore still water levels using a simple GIS routing.
sea level rise/climate change theme
Sea level rise and extreme value analysis for Boston using IPCC AR6 Projections
Climate Disaster Warning System is a deep learning-based project for detecting wildfires, floods, and sea-level rise using satellite and ground data. It leverages ResNet, Vision Transformer (ViT), and GRACE datasets to support early warning systems and climate research.
Study of the sea level variation using radar altimetry and tide gauges' data.
In-situ simulation of sea-level rise impacts on coastal wetlands using a flow-through mesocosm approach
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