frasertheking/DeepPrecip
A deep convolutional neural network for surface precipitation retrievals
DeepPrecip helps meteorologists and hydrologists estimate surface rain and snow accumulation. It takes active radar measurements from K-band radar as input and provides an estimate of precipitation accumulation every 20 minutes. This tool is for professionals who need accurate, frequent updates on surface precipitation, useful for weather forecasting and hydrological modeling.
No commits in the last 6 months.
Use this if you need to accurately estimate surface rain and snow accumulation from K-band radar measurements.
Not ideal if you need precipitation estimates from other types of radar or satellite data, or if you require longer temporal resolutions.
Stars
10
Forks
3
Language
Python
License
—
Category
Last pushed
Oct 18, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/frasertheking/DeepPrecip"
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...
aditya-grover/climate-learn
Source code for ClimateLearn