Climate drivers of the springtime North America cooling pattern
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Updated
May 18, 2023 - Python
Climate drivers of the springtime North America cooling pattern
A project focused on climate data and tooling for Rio Grande do Sul in Brazil.
Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows. 🌎
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
Tool for fixing and rehoming climate experiment NC files.
A simple model suite for the MOC
Evaluates tropospheric temperature and zonal wind pressure profiles over a variety of projections, seasonal changes, altitudes, etc.
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).
Python module to analyze measurmentdata of the tropopause with respect to the cold point tropopause.
PAMIP simulations to understand role of sea surface temperatures on polar amplifications
Tools used by Ocean Research Project for scientific data collection.
Online Laboratory for Climate Science and Meteorology
Python Module to analyze temperature anomalies in Graz.
AMIP experiments for surface forcings (sea ice, SST, QBO, Eurasian snow)
Prediction of climatological events (sudden stratospheric warmings) using different Machine Learning models
A collection of fully functioning (hopefully) scripts about climate/atmospheric science
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.
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