sobakrim / Two-stage-CNN-LSTMLinks
Hybrid CNN-LSTM for learning the spatio-temporal relationship between wind and significant wave height
☆17Updated 5 months ago
Alternatives and similar repositories for Two-stage-CNN-LSTM
Users that are interested in Two-stage-CNN-LSTM are comparing it to the libraries listed below
Sorting:
- Python API for interfacing with the IBTrACS tropical cyclone best track dataset☆13Updated 2 years ago
- Notebooks for CIRA (Cooperative Institute for Research in the Atmosphere) machine-learning short course.☆23Updated last year
- Python code to read the netcdf formatted tropical cyclone tracks generated from HighResMIP simulations☆15Updated 4 years ago
- A Physics-Based, Tropical Cyclone Downscaling Model☆44Updated 3 months ago
- public codes for fusing CNN networks☆23Updated 5 years ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆42Updated 4 years ago
- post-processing experiments with neural networks☆63Updated 4 years ago
- GOES-16 Convective Initiation Benchmark☆18Updated 3 years ago
- Beta for Pangeo Postprocessing☆18Updated 5 years ago
- CNN based wind speed estimation of tropical cyclones based on IR/WV satellite imagery☆13Updated 7 years ago
- Calculate tropical cyclone related indices like GPI, VI, etc.☆18Updated 3 years ago
- Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles☆22Updated 6 years ago
- A unified interface to access tropical cyclone best-track datasets in different formats.☆56Updated 8 months ago
- Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability …☆71Updated last year
- ☆222Updated last year
- Based on the GFDL vortex tracking algorithm to locate tropical cyclone. No need to covert wrf output to grib.☆16Updated 8 years ago
- A collection of algorithms to autonomously identify and track mesoscale ocean eddies in sea surface height (SSH) satellite data☆107Updated 2 years ago
- Machine learning emulators for microphysical processes.☆14Updated 7 months ago
- End-to-end machine-learning library for predicting thunderstorm hazards.☆35Updated 2 months ago
- Python code to assist in familiarizing meteorologists with machine learning☆61Updated 2 years ago
- Deep Learning for Hurricane Forecasting☆20Updated 2 years ago
- Eddy identification and tracking☆162Updated 5 months ago
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆56Updated 8 months ago
- Machine Learning in Python for Environmental Science Problems AMS Short Course Material☆181Updated 6 years ago
- Tutorials on data assimilation (DA) and the EnKF☆176Updated last week
- GDEX apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash☆39Updated 2 months ago
- marineHeatWaves is a module for python which implements the Marine Heatwave (MHW) definition of Hobday et al. (2016, Prog Ocean).☆165Updated last year
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 4 years ago
- A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.☆22Updated 4 years ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆59Updated 11 months ago