leap-stc / LEAPCourse-Climate-Pred-ChallengesLinks
A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictive models for challenges inspired by LEAP's research
☆39Updated 3 months ago
Alternatives and similar repositories for LEAPCourse-Climate-Pred-Challenges
Users that are interested in LEAPCourse-Climate-Pred-Challenges are comparing it to the libraries listed below
Sorting:
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 5 months ago
- ML Datasets Catalog☆58Updated 2 years ago
- ☆14Updated 5 years ago
- Notes and practicals for my "Physics of the Climate System" lecture☆28Updated last year
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- ☆14Updated 3 years ago
- Climate Analytics using Deep Neural Networks in Python.☆63Updated last year
- ☆35Updated 5 months ago
- ☆20Updated 2 months ago
- ☆33Updated last year
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆48Updated this week
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
- Data access package for the SubseasonalClimateUSA dataset☆33Updated 9 months ago
- Script to download data from MERRA-2 database based on lat/lon coordinates☆37Updated last year
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆35Updated 3 years ago
- Figure and data generation for Chapter 7 of the IPCC's Sixth Assessment Report, Working Group 1 (plus assorted other contributions)☆37Updated last year
- Making it far easier to read in and work with large volumes of climate model output from CMIP5/6☆21Updated 4 years ago
- Bias correction of air quality CAMS model predictions by using OpenAQ observations.☆11Updated 3 years ago
- Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"☆17Updated 7 months ago
- Lorenz 1996 two time-scale model for learning machine learning☆53Updated 2 weeks ago
- ☆17Updated 9 months ago
- ☆91Updated last year
- Forest Fire Danger - Calculation of indices for forest fire risk assessment in weather and climate data☆31Updated 6 months ago
- Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".☆33Updated 2 years ago
- Reservoir Assessment Tool☆26Updated last week
- ☆22Updated 8 months ago
- Using optical flow & machine learning to predict PV yield☆53Updated 2 years ago