Python Module to analyze temperature anomalies in Graz.

Diffusion for climate downscaling

Climate drivers of the springtime North America cooling pattern

Code for the paper "Machine learning of cloud types in satellite observations and climate models".

A collection of fully functioning (hopefully) scripts about climate/atmospheric science

Evaluates tropospheric temperature and zonal wind pressure profiles over a variety of projections, seasonal changes, altitudes, etc.

A 100-year collection of climate data from one of the nation's oldest weather stations. Data source is NOAA.

AI model (LSTM) for predicting long-term climate trends

ACME Priority Metrics

Finding causal relation between wildfire trends and global climate change

sondera is a python package providing clients for accessing Swedish hydrology and meteorology related open data. Data sources currently include SMHI open data API and SGU groundwater API.

Prediction of climatological events (sudden stratospheric warmings) using different Machine Learning models

Tool for fixing and rehoming climate experiment NC files.

A simple model suite for the MOC

Tools used by Ocean Research Project for scientific data collection.

Python module to analyze measurmentdata of the tropopause with respect to the cold point tropopause.

Investigation of model biases in historical internal variability using explainable AI

Trend analysis and ideas for data products to understand and prepare the beautiful island of Svalbard (Norway) for the challenges of climate change. This project was done for the "Hack the Arctic 2021" Hackathon (Helsinki).

This repository is for storing the code I have written for an internship started during the summer of 2021 at Université du Québec à Montréal (UQÀM) under the direction of professor Alejandro Di Luca. The internship concerns the evaluation of the Canadian Regional Climate Model 6 - Global Environmental Multiscale 5 (CRCM6-GEM5)'s energy balance.

Python tools for analysing and offline diagnosing ocean and climate datasets