marvande/Antarctica-RCM-Emulator
deep learning SMB-RCM emulator over Antarctica
This tool helps climate scientists and polar researchers quickly generate high-resolution predictions of surface mass balance (SMB) over Antarctica. It takes data from global climate models (GCMs) as input and provides detailed SMB predictions, significantly faster than traditional regional climate models (RCMs). The end-user is a researcher or analyst working with climate data who needs efficient downscaling.
No commits in the last 6 months.
Use this if you need to downscale global climate model data to create fine-grained regional climate predictions for Antarctica much faster than running full regional climate models.
Not ideal if you require the full physical fidelity of a dynamically downscaled regional climate model or are working with regions other than Antarctica.
Stars
8
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/marvande/Antarctica-RCM-Emulator"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NVIDIA/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
mllam/neural-lam
Research Software for Neural Weather Prediction for Limited Area Modeling
chengtan9907/OpenSTL
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
NVIDIA/earth2mip
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate...
microsoft/aurora
Implementation of the Aurora model for Earth system forecasting