Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

A Collection of Flood Hazard Layers for New York City.

Jupyter Notebooks Tutorials on Gaussian Processes

This repo uses DEM data to produce a simulation (gif) visualizing which areas will get drowned as sea-level rises.

Python projects made for the freeCodeCamp Data Analysis with Python Certification.

Storm Surge Prediction Using Different Machine Learning Methods

coastwards.org - a global citizen science project to help scientists study the risks of sea-level rise

Python Scripts that analyze and plot the attributes of oceanic and atmospheric data, intentionally collected from the Weddell Sea.

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"

This Repository consists of all the Data Analysis Projects and Tasks for the Data Analytics with Python -- Free Code Camp

Flood risk and house price tipping points for an archetypical coastal city under many sea level rise scenarios and dynamic adaptive policies.

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

Contributions of Storm Drivers to Compound Flooding in New York City: Insights from Coupled Modeling and Machine Learning Approaches

A new database of sea-level components and their contribution to nuisance flooding along the U.S. coastline

In-situ simulation of sea-level rise impacts on coastal wetlands using a flow-through mesocosm approach

The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".

The GISSR optimization model that minimizes the total cost of protective measures and damage against flooding and sea level rise. A paper has been published on Frontier Climate (https://www.frontiersin.org/articles/10.3389/fclim.2021.613293/full)