🌀 Weather and climate graphics for science communication 🌀

Sea ice parameters

Convolutional Recurrent Neural Networks for Predicting Sea Ice Concentration in the Arctic

Code for our paper "AUTO-IceNav: A Local Navigation Strategy for Autonomous Surface Ships in Broken Ice Fields".

A curated list on data sources related to climate change in the arctic.

Arctic sea ice interannual variability and change

Module for downloading and converting PIOMAS data

Assessing the influence of the QBO in Arctic sea ice perturbation experiments

(Non)linear atmospheric response to Arctic Amplification forcing

Large ensemble to explore robustness of stratospheric response to Arctic sea-ice loss

Repository to capture data, information, and insights from data related to climate change in the arctic.

UCI Data Science Initiative Fellowship

AMIP experiments for surface forcings (sea ice, SST, QBO, Eurasian snow)

Forecasting transit through the Northwest Passage

The Sea Ice Extent of 5 Arctic and Antarctic regions is forecasted using CNN+LSTM, Bidirectional LSTM and Standalone LSTM.

This repository contains code for the research of transformer effectiveness for spatio-temporal forecasting task in comparison with 3d and 2d CNN models. The experiments was set up for sea ice concentration long-term prediction in Arctic seas.

This repository consists of a few python scripts I have developed to compute, analyze and visualize the changes in Arctic Sea ice (concentration, sea ice age).

A new method to estimate Kd under heterogeneous ice surface in the Arctic

PIOMAS - artic sea ice volume analysis - http://psc.apl.uw.edu/research/projects/arctic-sea-ice-volume-anomaly/